09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware and
software; computer hardware and software for information
technology analysis and data management; computer hardware
and software for application development; computer hardware
and software for cloud computing; computer hardware and
software for cognitive computing; computer hardware and
software for artificial intelligence; computer hardware and
software for blockchain technology; computer hardware and
software for quantum computing and quantum programming;
computer hardware, namely, magnetic tape units (data
processing), magnetic tapes, printed circuits, integrated
circuits, computer keyboards, compact disks (audio-video),
optical disks, couplers (data processing), diskettes,
magnetic data carriers; computer hardware, namely, video
screens, scanners (data processing equipment), computer
printers, interfaces (data processing), readers (data
processing), software (recorded programs), microprocessors,
modems, monitors (hardware), computers, computer memories,
computer peripherals; computer adapters; computer
components; data processing equipment; computer apparatus
for the management of data and information; semiconductors;
machine-readable electronic data media; magnetic disks; disk
drives; tape recorders; calculating machines; cash
registers; facsimile machines; video recorders; videotapes;
electric cells and electric batteries; computer chips;
boards for integrated circuits; computer accessories,
namely, computer communication servers; computer carrying
cases; computer interface boards; computer cables and
computer cable parts; fax modem cards for computers;
computer accessories, namely, screen filters, mouse pads,
radio pagers, joysticks; electric converters, namely,
digital-to-analog, analog-to-digital and step-by-step
voltage switches; computer mice; integrated circuit cards
and smart cards, adapters for integrated circuits and
adapters for smart cards; readers for integrated circuit
cards and smart cards; microcomputers; electrical power
supplies; projectors (projection apparatus); remote controls
for computers; inverters, surge protectors and
uninterruptible power supplies; point-of-sale terminals
(payment terminals); computer servers; computer storage
devices, namely high-speed storage subsystems for storage
and backup of electronic data either locally or via a
telecommunication network; recorded and downloadable
computer programs and software; video game software;
operating system software and programs; software used for
accessing a global computer network; document management
software; database management software; software used for
locating, retrieving and receiving text, electronic
documents, graphics and audiovisual information on
enterprise-wide internal computer networks and local and
wide-area global computer networks; software used for
software development and web authoring and user manuals in
electronic format sold as a unit with these products;
computer software for use in controlling the operation and
execution of computer systems, programs, and computer
networks; computer software for use in connecting disparate
computer networks and systems, computer servers and storage
devices; computer programs for linking computers together
and for enabling computer activities across a global
computer network; computer software for managing systems,
software and processes that exist within an information
technology environment; computer systems combining computer
hardware and software for use in management and analysis of
data and instruction manuals in electronic format sold with
these products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable cloud
computing software for deploying and managing virtual
machines on a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; software for developing, building and
operating blockchain applications; computer hardware and
computer software for developing and testing quantum
algorithms; documentation and instruction manuals
downloadable on machine-processible electronic data media
and concerning computers or computer programs; downloadable
electronic publications; electronic publications
downloadable on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Advertising; sales promotion services (for third parties);
commercial business management and advice regarding
commercial business management; business information;
distribution of prospectuses; distribution of samples;
arranging newspaper subscriptions for third parties;
accounting; document reproduction; systematization of data
in a central file; organization of exhibitions for
commercial or advertising purposes; business management
consulting services and business consulting services;
business development service; analysis of market research
data and statistics; electronic data processing; computer
data processing services for artificial intelligence;
computer data processing services for cognitive computing;
computer data processing services for cloud computing;
computer data processing services for blockchain technology;
computer data processing services for data management;
computer data processing services for quantum computing and
quantum programming; arranging and conducting trade show
exhibitions in the field of computers, computer services,
information technology, artificial intelligence, cloud
computing, blockchain technology, quantum computing,
database management and electronic business transactions via
a global computer network; business consulting services for
companies regarding artificial intelligence; business
consulting services for companies regarding computer systems
that integrate Natural Language Processing (NLP),
Computational Linguistics (CL), Information Retrieval (IR)
and Machine Learning (ML) functions and capable of
understanding general human queries and formulating
responses; business consulting services for companies
relating to cloud computing; business consulting services
for companies regarding blockchain technology; business
consulting services for companies regarding quantum
computing, quantum programming and for developing and
testing quantum algorithms; business consulting services for
companies regarding information technology; analyzing and
compiling business data; systemization of data in computer
databases. Insurance services; financial services; financial affairs;
services connected with monetary affairs; banking affairs;
real estate affairs; hire-purchase financing services;
capital investment; financial advice services; stock
exchange quotations; lending (financial services); financial
information and operations; financial transactions; mutual
funds (investment); fund management and investment services;
savings services; actuarial services; factoring; credit
agency services; real estate appraisal; real property
management; money lending in the field of purchase or rental
of computer products and services; capital investment
consultation; financial analysis and consultation; financial
management; financial planning; investment services, namely,
the acquisiton of real property, consultation, development
and management services relating thereto; financial
valuation of new technologies for others; venture capital
funding services to emerging and start-up companies. Computer programming; Software as a service (SaaS) services
featuring software for data management; software as a
service (SaaS) services featuring software for cloud
computing; software as a service (SaaS) services featuring
software for artificial intelligence; software as a service
(SaaS) services featuring software for cognitive computing;
software as a service (SaaS) services featuring software for
blockchain technology; software as a service (SaaS) services
featuring software for quantum computing and quantum
programming; software as a service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; software as a service
(SaaS) services featuring software for developing and
testing quantum algorithms; computer programming and
computer consulting services for artificial intelligence;
computer programming and computer consulting services for
cognitive computing; computer programming and computer
consulting services for information management; computer
programming and computer consulting services for data
management; computer programming and computer consulting
services for cloud computing; computer programming and
computer consulting services for blockchain technology;
computer programming and computer consulting services for
quantum computing; computer programming and computer
consulting services for software as a service (SaaS);
design, installation, updating and maintenance of software;
computer software and hardware design for the benefit of
third parties, and professional advisory services in the
field of computers; technical support services, namely,
troubleshooting of computer program and software problems;
computer services, namely, design, creation and maintenance
of websites for third parties; analysis of computer systems,
integration of computer networks and databases, computer
programming services for others, all relating to commercial
interactions on global computer networks; design of systems
for interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer software and hardware testing services
(quality and technical controls); technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; scientific and industrial
research, namely research and development of new products,
biological research, bacteriological research, chemical
research, cosmetology research, mechanical research,
geological research, technological research, pharmaceutical
research, scientific research for medical purposes;
information technology consulting; computer system
integration services; consulting services in the field of
design, selection, implementation and use of computer
hardware and software systems for third parties; technical
support services, namely, troubleshooting computer program
problems; computer system design services for third parties;
design of systems for interconnection of computers and
computer programs, namely, integration of computer systems
and computer networks; computer program and computer
hardware testing services, namely testing of software,
computers and servers to ensure proper functioning thereof;
cloud computing services pertaining to services for computer
hardware and software integrated into a network for dynamic
provisioning, virtualization, and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
storage of electronic data and data recovery; data security
service; computer support services with respect to software
rendered by computer specialists; design of computer
hardware for computer networks; design and development of
computers; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; technical support services, namely computer
hardware problem solving.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware and software
for information technology analysis and data management;
computer hardware and software for cloud computing; computer
hardware and software for cognitive computing; computer
hardware and software for artificial intelligence; computer
hardware and software for blockchain technology; computer
hardware and software for quantum computing and quantum
programming; computer hardware, namely, magnetic tape units
(data processing), magnetic tapes, printed circuits,
integrated circuits, computer keyboards, compact disks
(audio-video), optical disks, couplers (data processing),
diskettes, magnetic data carriers; computer hardware,
namely, video screens, scanners (data processing equipment),
computer printers, interfaces (data processing), readers
(data processing), microprocessors, modems, monitors
(hardware), computers, computer memories, computer
peripherals; computer adapters; computer components; data
processing equipment; data processing equipment for data and
information management; semiconductors; machine-readable
electronic data media; magnetic disks; disk drives; tape
recorders; calculating machines; cash registers; facsimile
machines; video recorders; videotapes; electric cells and
electric batteries; computer chips; boards for integrated
circuits; computer accessories, namely, computer
communication servers; computer carrying cases; computer
interface boards; computer cables and computer cable parts;
fax modem cards for computers; computer accessories, namely,
screen filters, mouse pads, radio pagers, joysticks;
electric converters, namely, digital-to-analog,
analog-to-digital and step-by-step voltage switches;
computer mice; integrated circuit cards and smart cards,
adapters for integrated circuits and adapters for smart
cards; readers for integrated circuit cards and smart cards;
microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale terminals (payment terminals);
computer servers; computer storage devices, namely
high-speed storage subsystems for storage and backup of
electronic data either locally or via a telecommunication
network; video game software; operating system software and
programs; software used for accessing a global computer
network; document management software; database management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; computer programs for linking computers
together and for enabling computer activities across a
global computer network; computer software for managing
systems, software and processes that exist within an
information technology environment; computer systems
combining computer hardware and software for use in
management and analysis of data and instruction manuals in
electronic format sold with these products; cloud computing
systems, namely networks integrating computer hardware and
software for dynamic provisioning, virtualization and
consumption metering of computer resources; recorded and
downloadable cloud computing software for deploying and
managing virtual machines on a cloud computing platform;
computer systems, namely, computer hardware and computer
software for developing and integrating artificial
intelligence, namely, machine learning, deep learning and
natural language processing which are capable of collecting,
organizing and analyzing data; computer systems, namely,
computer hardware and computer software that integrate
Natural Language Processing (NLP), Information Retrieval
(IR) and Machine Learning (ML) and capable of understanding
general human queries and formulating responses; software
for developing, building and operating blockchain
applications; computer hardware and computer software for
developing and testing quantum algorithms; documentation and
instruction manuals recorded on machine-readable electronic
data media and relating to computers or computer programs;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Advertising; sales promotion services (for third parties);
commercial business management and advice regarding
commercial business management; business information;
distribution of prospectuses; distribution of samples;
arranging newspaper subscriptions for third parties;
accounting; document reproduction; systematization of data
in a central file; organization of exhibitions for
commercial or advertising purposes; business management
consulting services and business consulting services;
business development service; analysis of market research
data and statistics; electronic data processing; computer
data processing services for artificial intelligence;
computer data processing services for cognitive computing;
computer data processing services for cloud computing;
computer data processing services for blockchain technology;
computer data processing services for data management;
computer data processing services for quantum computing and
quantum programming; arranging and conducting trade show
exhibitions in the field of computers, computer services,
information technology, artificial intelligence, cloud
computing, blockchain technology, quantum computing,
database management and electronic business transactions via
a global computer network; business consulting services for
companies regarding artificial intelligence; business
consulting services for companies regarding computer systems
that integrate Natural Language Processing (NLP),
Computational Linguistics (CL), Information Retrieval (IR)
and Machine Learning (ML) functions and capable of
understanding general human queries and formulating
responses; business consulting services for companies
relating to cloud computing; business consulting services
for companies regarding blockchain technology; business
consulting services for companies regarding quantum
computing, quantum programming and for developing and
testing quantum algorithms; business consulting services for
companies regarding information technology; analyzing and
compiling business data; systemization of data in computer
databases; business management consultancy in the field of
information technology; advisory services for companies
relating to business organization; organizing and conducting
incentive reward programs for companies and professionals in
order to promote and reward company performance,
productivity and recognition; organizing and conducting
incentive reward programs to promote the sale of information
technology; offering reward programs for companies and
professionals through the distribution of loyalty points
with the aim of promoting and rewarding loyalty; organizing
and conducting (promotional) reward programs for customers,
companies and professionals; provision of business
information via a website. Software as a service (SaaS) services featuring software for
data management; software as a service (SaaS) services
featuring software for cloud computing; software as a
service (SaaS) services featuring software for artificial
intelligence; software as a service (SaaS) services
featuring software for cognitive computing; software as a
service (SaaS) services featuring software for blockchain
technology; software as a service (SaaS) services featuring
software for quantum computing and quantum programming;
software as a service (SaaS) services featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; software as a service (SaaS) services
featuring software for developing and testing quantum
algorithms; computer programming and computer consulting
services for artificial intelligence; computer programming
and computer consulting services for cognitive computing;
computer programming and computer consulting services for
information management; computer programming and computer
consulting services for data management; computer
programming and computer consulting services for cloud
computing; computer programming and computer consulting
services for blockchain technology; computer programming and
computer consulting services for quantum computing; computer
services, namely, design, creation and maintenance of
websites for third parties; analysis of computer systems,
integration of computer networks and databases, computer
programming services for others, all relating to commercial
interactions on global computer networks; design of systems
for interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer advice and assistance concerning Internet
use; computer rental; scientific and industrial research,
namely biological research, bacteriological research,
chemical research, cosmetology research, mechanical
research, geological research, technological research,
pharmaceutical research, scientific research for medical
purposes; information technology consulting; computer system
integration services; consulting services with respect to
design, selection, implementation and use of computer
systems for third parties; computer system design services
for third parties; design of systems for interconnection of
computers and computer programs, namely, integration of
computer systems and computer networks; computer program and
computer hardware testing services, namely testing of
computers and servers to ensure proper functioning thereof;
cloud computing services, namely, integrated computer
hardware and network software services for dynamic
provisioning, virtualization, and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
storage of electronic data and data recovery; data security
service; design of computer hardware for computer networks;
providing information relating to information technology via
a website; technical support services, namely computer
hardware problem solving.
Systems, methods and/or computer program products predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zone(s) and optimizing time for servicing a plurality of physical assets. Digital twin models of physical assets are classified, and arranged into workflows for the service zones, sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, the estimated time of arrival and similarities between classifications of different digital twins of physical assets. Based on sequences of the workflow, arrival times of physical assets and overlap between parts, tools, machines, etc., within various service zones, service center coordinates robotic systems to arrange service zones in a manner that minimizes waiting time between services, maximizes the number of physical assets repaired within a period of time and reduces rearrangement of service zones between the services provided to different physical assets.
A method to determine data uncertainty is provided. The method receives a high dimensional data input and a corresponding data output. The method trains a variational autoencoder (VAE) with the high dimensional data input to learn a low dimensional latent space representation of the high dimensional data input. An encoder part of the VAE outputs a set of distributions of the high dimensional dataset in a latent space. The method samples new data samples in the latent space using the set of distributions outputs from the encoder part of the VAE. The method learns a polynomial chaos expansion to map the new data samples in the latent space to the corresponding data output to learn the set of distributions and their relation to perform estimation with high-dimensional dataset under uncertainty such as missing values by estimating the values using the set of distributions.
A method, apparatus and computer program product for privacy-preserving homomorphic inferencing. In response to receipt of encrypted data, a ciphertext of real numbers is generated. Each real number has an associated sign that is desired to be maintained. A mask is then identified, preferably via an iterative algorithm that works on a trial and error basis to locate an appropriate solution. The mask comprises set of values randomly distributed over a given positive range and that remain positive after encoding under a fixed-point arithmetic and with a low scale value. Under homomorphic encryption, the ciphertext is then multiplied by the mask to generate a result comprising values corresponding to the real numbers in the ciphertext and that maintain their associated signs. The result is provided as a response to the encrypted data.
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
A semiconductor structure is presented including a first level of interconnect wiring separated into a first interconnect wiring segment and a second interconnect wiring segment, the first interconnect wiring segment defining a first line segment and the second interconnect wiring segment defining a second line segment and a second level interconnect wiring positioned orthogonally to the first level of interconnect wiring. A distalmost end of the first line segment and a distalmost end of the second line segment are separated by a spacing less than or equal to a spacing of the second level interconnect wiring defining a zero track skip.
H01L 23/528 - Layout of the interconnection structure
H01L 21/3213 - Physical or chemical etching of the layers, e.g. to produce a patterned layer from a pre-deposited extensive layer
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
Embodiments of present invention provide a semiconductor structure. The semiconductor structure includes a semiconductor wafer having a first transistor and a second transistor; a first source/drain (S/D) contact of the first transistor; a second S/D contact of the second transistor; and a cut region between the first S/D contact and the second S/D contact, wherein the cut region includes a liner of a first dielectric material and a filler of a second dielectric material that is different from the first dielectric material, the liner lining at least a part of the first S/D contact and a part of the second S/D contact, and the filler being directly adjacent to the liner and between the first S/D contact and the second S/D contact. A method of manufacturing the semiconductor structure is also provided.
H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
H01L 23/528 - Layout of the interconnection structure
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/08 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
Provided are a floating-point unit, a system, and method for fused multiply-add logic to process input operands including floating-point values and integer values. A first input operand comprising an integer value and second and third input operands comprising floating-point values are received. The first, second, and third input operands are processed to produce a floating-point result.
G06F 5/01 - Methods or arrangements for data conversion without changing the order or content of the data handled for shifting, e.g. justifying, scaling, normalising
A method, including: identifying static application features of an application; identifying resource access features of the application; labeling a translation lookaside buffer (TLB) miss threshold of a runtime feature of the application; determining utilization of larger pages during the runtime based on the TLB miss threshold; and setting the TLB miss threshold based on the determined utilization of the larger pages.
A magnetic tunnel junction cell, a cross section with octagon profile, vertically aligned layers of a top electrode, a free layer, a tunneling barrier, a reference layer, a bottom electrode with tapered side surface with a width at an upper surface greater than a width at a lower surface, the reference layer with vertical side surface perpendicular to an upper horizontal surface of the bottom electrode, the free layer and the tunneling barrier, each include a tapered side surface of the same angle, and each include a width at an upper surface less than a width at a lower surface. Forming a bottom electrode of a magnetic tunnel junction cell with a tapered side surface with a width at an upper surface greater than a width at a lower surface, forming a reference layer with vertical side surface perpendicular to an upper surface of the bottom electrode.
G11C 11/16 - Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using magnetic elements using elements in which the storage effect is based on magnetic spin effect
H01L 27/22 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate using similar magnetic field effects
H01L 43/02 - Devices using galvano-magnetic or similar magnetic effects; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof - Details
A method of fabricating a multilayer circuit board is provided which includes forming a layer of a the multilayer circuit board with an internal clearance region having a modified voltage-to-ground clearance of conductive material adjacent to an aperture of the multilayer circuit board. The modified voltage-to-ground clearance of conductive material is based on a configuration of a connector pin to be press-fit connected within the aperture of the multilayer circuit board, and the internal clearance region is enlarged in a direction of greatest normal force outward from the aperture with insertion of the connector pin into the aperture.
Embodiments of the present invention are directed to processing methods and resulting structures for providing a virtual power supply through a wafer backside. In a non-limiting embodiment of the invention, a front end of line structure having a gate is formed and a back end of line structure is formed on a first surface of the front end of line structure. A backside power delivery network is formed on a second surface of the front end of line structure opposite the first surface. Source and drain regions on a first side of the gate are connected to the backside power delivery network and source and drain regions on a second side of the gate are connected to the back end of line structure.
Described are techniques for optimizing a quantum kernel for a support vector machine task. The techniques include receiving, by digital processor, a set of training data, each member of the set representing a data vector (x) and a label (y) identifying the respective member to be part of either a first class or a second class The techniques further include providing, by the digital processor, the quantum kernel comprising a set of unitary operations adapted for acting on a zero state of qubits of a universal quantum circuit The techniques further include performing, by a quantum processor comprising a set of interlinked quantum circuits, an alignment of the quantum kernel using an optimization algorithm based on the set of training data on a primal problem approach of the support vector machine task.
A computer-implemented method for managing information during a web conference is provided. The computer-implemented method includes collecting and formatting meeting application information at a processor of a computing device having a screen being shared with attendees of the web conference and collecting and formatting to-be-popup application information at the processor. The computer-implemented method further includes analyzing, by the processor, an urgency of the to-be-popup application information and a correlation between the to-be-popup application information and the meeting application information and determining, by the processor, whether to share the to-be-popup application information with a user of the computing device and with the attendees based on results of the analyzing.
Mechanisms are provided for forecasting information technology (IT) and environmental impacts on key performance indicators (KPIs). Machine learning (ML) computer model(s) are trained on historical data representing IT events and KPIs of organizational processes (OPs). The ML computer model(s) forecast IT events given KPIs, or KPI impact given IT events. Correlation graph data structure(s) are generated that map at least one of IT events to IT computing resources, or KPI impacts to OPs. The trained ML computer model(s) process input data to generate a forecast output that specifies at least one of a forecasted IT event or a KPI impact. The forecasted output is correlated with at least one of IT computing resource(s) or OP(s), at least by applying the correlation graph data structure(s) to the forecast output to generate a correlation output. A remedial action recommendation is generated based on the forecast output and correlation output.
In an approach, a processor receives, at an edge device running a local instance of a machine learning (ML) model, a set of inference data comprising a plurality of datapoints, wherein the local instance of the ML model is a deployed version of the ML model running in a cloud environment, and wherein the ML model was trained in the cloud environment and then deployed to the edge device. A processor runs the plurality of datapoints through one or more filters to determine a probability for each datapoint of whether a respective datapoint should be sent back to the cloud environment and used for retraining the ML model. A processor determines, for each datapoint, whether the probability for the respective datapoint meets a send back threshold that is required to be met before the respective datapoint is sent back to the cloud environment.
Mechanisms are provided for automated rule set generation for identifying relations in knowledge graph data structures. An input knowledge graph is processed to extract tuples representing relations between entities present in the input knowledge graph. A set of rules is generated based on one or more heuristics applied to tuples, and candidate rule(s) are identified that are candidates for adding to the set of rules. A linear programming computer model is evaluated for a modified set of rules comprising the set of rules and the candidate rule(s) to determine whether or not adding the candidate rule(s) improves an objective function of the linear programming model. The set of rules is expanded to include the candidate rule(s) in response to the evaluation of the linear programming computer model indicating that the addition of the candidate rule(s) improves the objective function of the linear programming computer model.
Mechanisms are provided for generating a resource allocation in an omnichannel distribution network. Demand forecast data and current inventory data related to a resource and the omnichannel distribution network are obtained and an ally-adversary bimodal inventory optimization (BIO) computer model is instantiated that includes an adversary component that simulates, through a computer simulation, a worst-case scenario of resource demand and resource availability, and an ally component that limits the adversary component based on a simulation of a limited best-case scenario of resource demand and resource availability. The BIO computer model is applied to the demand forecast data and current inventory data, to generate a predicted consumption for the resource. A resource allocation recommendation is generated for allocating the resource to locations of the omnichannel distribution network based on the predicted consumption, which is output to a downstream computing system for further processing.
An example operation may include one or more of storing an index that comprises identifiers of role-based access privileges for a plurality of users with respect to a database, receiving a database query associated with a user from a software program, identifying data records within the database that the user has permission to access based on database accessibility rights of the user stored within the index, prior to execution of the database query, loading the identified data records into the memory and filtering out other data records from the database which the user does not have permission to access, and executing the database query on the identified data records loaded from the database and returning query results from the execution to the software program.
Embodiments related to using a foundational model for network packet traces. A technique includes receiving network traffic of a network and extracting features from the network traffic, the features having a function related to communications in the network. The technique includes generating tokens from the features, each of the features corresponding to a respective one of the tokens, training a machine learning model by inputting the tokens, the machine learning model being trained to output contextual embeddings for the tokens, and using the contextual embeddings to determine an anomaly in the network traffic.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 43/04 - Processing captured monitoring data, e.g. for logfile generation
Identifying critical zones of machines is provided. A digital twin simulation of a machine is performed. An analysis of a set of historical incident records corresponding to the machine is performed to determine areas surrounding the machine that will be impacted by propagation of different types of incidents corresponding to the machine. A task performed by the machine, an operating context of the machine, an aggregate energy of the machine, and an area in the industrial machine environment affected by propagation of released energy from the machine are identified based on the digital twin simulation and the analysis of the set of historical incident records. A set of critical zones corresponding to the machine is identified based on the task performed by the machine, the operating context of the machine, the aggregate energy of the machine, and the area in the industrial machine environment affected by propagation of released energy.
G05B 19/4061 - Avoiding collision or forbidden zones
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
22.
DRIFT DETECTION IN EDGE DEVICES VIA MULTI-ALGORITHMIC DELTAS
One or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to data drift detection in an edge device. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a verification component that can verify accuracy of a first model and accuracy of a second model to detect data drift associated with an edge device that is deployed without network connectivity; a computation component that can compute at least a first ratio based on the accuracy of the first model and the accuracy of the second model; and an analysis component that can use the at least the first ratio to determine whether performance degradation of at least one of the first model or the second model is a function of the data drift.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 41/0631 - Management of faults, events, alarms or notifications using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
23.
AVOIDING RAID ARRAY OVERDRIVE USING NONVOLATILE MEMORY IN CACHE
In one general embodiment, a computer-implemented method includes detecting overdrive of a RAID array. An extent residing, at least in part, in both the overdriven RAID array and in a cache is selected. Data missing from the extent is staged, from the overdriven RAID array, to complete the extent in the cache. The original extent space in the overdriven RAID array is freed. The extent data in the cache is destaged to a target RAID array. Space in the cache corresponding to the extent is freed in response to completing the destaging.
An enhanced integrated circuit interconnect package, method and multiple-layer integrated circuit laminate structure enable increased routing density per layer and maintains signal integrity performance. A differential signal via pair of vertical interconnect vias provide differential signaling. The vias of the differential signal via pair are positioned closely spaced together with each via offset from a center axis of an associated LGA contact, minimizing space between the differential signal vias and maintaining signal integrity performance, and providing increased available wiring signal channel.
H01L 21/48 - Manufacture or treatment of parts, e.g. containers, prior to assembly of the devices, using processes not provided for in a single one of the groups
25.
Quantum Coupler Facilitating Suppression of ZZ Interactions Between Qubits
Devices and/or computer-implemented methods to facilitate ZZ cancellation between qubits are provided. According to an embodiment, a device can comprise a coupler device that operates in a first oscillating mode and a second oscillating mode. The device can further comprise a first superconducting qubit coupled to the coupler device based on a first oscillating mode structure corresponding to the first oscillating mode and based on a second oscillating mode structure corresponding to the second oscillating mode. The device can further comprise a second superconducting qubit coupled to the coupler device based on the first oscillating mode structure and the second oscillating mode structure.
Techniques for generating explanations for machine learning (ML) are disclosed. These techniques include identifying an ML model, an output from the ML model, and a plurality of constraints, and generating a plurality of neighborhoods relating to the ML model based on the plurality of constraints. The techniques further include generating a predictor for each of the plurality of neighborhoods using the ML model and the plurality of constraints, constructing a combined predictor based on combining each of the respective predictors for the plurality of neighborhoods, and creating one or more explanations relating to the ML model and the output from the ML model using the combined predictor.
An approach for managing workload deployment in a distributed network, including edge computing is provided. The approach includes deploying several modules, such as, EMM (energy management module), LDM (localized deployment manager) and EDM (edge deployment manager). These modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.
A computer-implemented method for processing data connection requests is provided. The computer-implemented method includes receiving a connection request from an edge device and responding to the edge device such that the edge device recognizes that a connection is established and that data cannot be sent. The method further includes receiving a response from the edge device indicative of a connection parameter, determining that the connection is fiber-allocatable in accordance with the connection parameter being of a first connection parameter type, selecting one fiber from a plurality of fibers to have the connection allocated thereto based on one or more rules of fiber selection responsive to the determining that the connection is fiber-allocatable and allocating the connection to the one fiber.
Adjusting a navigation path of a worker land roaming edge device is provided. The worker land roaming edge device is identified moving along a navigation path to an asset to perform a task. It is determined that the worker land roaming edge device cannot reach the asset to perform the task due to an environment change along the navigation path. A set of task performance alternatives is generated in response to determining that the worker land roaming edge device cannot reach the asset to perform the task. A task performance alternative of the set of task performance alternatives is selected based on a set of criteria. The navigation path of the worker land roaming edge device is adjusted in accordance with the selected task performance alternative. The adjusted navigation path is sent to the worker land roaming edge device to dynamically adjust operation of the worker land roaming edge device.
An example system includes a processor to generate a data plane based on dataset metadata, data plane component metadata, data governance decisions, and information technology (IT) system metrics. The processor is to also apply components of the data plane for a specified workload across a number of computing devices selected by a control plane.
The present disclosure relates to a method of accessing a n-dimensional tensor of elements in a memory by a computer system. The multidimensional tensor comprises two-dimensional arrays, herein referred to as pages, each page being configured to comprise a predefined number of one-dimensional arrays of elements, herein referred to as sticks. The method includes linearly loading page per page of the tensor, and doing the following for each page: loading the non-empty sticks of the page from the memory using a base address of the page and determining a base address for the subsequent page using the number of loaded sticks and using an address offset indicative of potential empty sticks of the page. In case the number of loaded pages reaches a chunk size, the chunk page counter may be reinitialized and the linear loading may be continued with a subsequent page.
Described are techniques for oblique image rectification. The techniques include receiving an original image depicting an oblique view of a circular object and pre-processing the original image into an edge image. The techniques further include generating, by a machine learning model based on the edge image, a heatmap including an ellipse formed by the oblique view of the circular object. The techniques further include computing ellipse parameters describing the ellipse of the heatmap. The techniques further include performing, using the ellipse parameters, an affine transformation on the original image to generate a rectified image, where the rectified image converts the ellipse to a circle.
A method for computing possibly optimal policies in reinforcement learning with multiple objectives and tradeoffs includes receiving a dataset comprising state, action, and reward information for objectives in a multiple objective environment. Tradeoff information indicating that a first vector comprising first values of the objectives in the multiple objective environment is preferred to a second vector comprising second values of the objectives in the multiple objective environment is received. A set of possibly optimal policies for the multiple objective environment is produced based on the dataset and the tradeoff information, where the set of possibly optimal policies indicates actions for an intelligent agent operating in the multiple objective environment to take.
G06F 7/544 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using unspecified devices for evaluating functions by calculation
34.
MITIGATING THE INFLUENCE OF BIASED TRAINING INSTANCES WITHOUT REFITTING
One or more systems, devices, computer program products and/or computer implemented methods of use provided herein relate to a process of mitigating biased training instances associated with a machine learning model without additional refitting of the machine learning model. A system can comprise a memory that stores computer executable components, and a processor that executed the computer executable components stored in the memory, wherein the computer executable components can comprise a training data influence estimation component and an influence mitigation component. The training data influence estimation component can receive a pre-trained machine learning model and calculate a fairness influence score of training instances on group fairness metrics associated with the pre-trained machine learning model. The influence mitigation component can perform post-hoc unfairness mitigation by removing the effect of at least one training instance based on the fairness influence score to mitigate biased training instances without refitting the pre-trained machine learning model.
A computer implemented method includes performing a gradient update for a stochastic gradient descent (SGD) of a deep neural network (DNN) using a first set of hidden weights stored in a first matrix comprising a Resistive Processing Unit (RPU) crossbar array. A second matrix comprising a second set of hidden weights is stored in a digital medium. A third matrix comprising a set of reference values is computed upon a transfer cycle of the first set of weights from the first matrix to the second matrix, accounting for a sign-change (chopper). The third matrix is stored in the digital medium. A third set of weights is updated for the DNN from the second matrix when a threshold is reached for the second set of weights, in a fourth matrix comprising a RPU crossbar array.
Embodiments of present invention provide a magnetic tunnel junction (MTJ) structure. The MTJ structure includes a MTJ stack, the MTJ stack including a tunnel barrier layer on a reference layer and a free layer on the tunnel barrier layer, wherein the free layer includes multiple sub free layers, the multiple sub free layers being multiple ferromagnetic strips placed parallel to each other on the tunnel barrier layer, the multiple ferromagnetic strips having respective first ends connected to a first electrode and respective second ends connected to a second electrode. A method of forming the MTJ structure is also provided.
G11C 11/16 - Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using magnetic elements using elements in which the storage effect is based on magnetic spin effect
37.
LOCAL VDD AND VSS POWER SUPPLY THROUGH DUMMY GATES WITH GATE TIE-DOWNS AND ASSOCIATED BENEFITS
An integrated circuit structure includes a power supply rail formed in a backside of a semiconductor wafer. The integrated circuit structure also includes a frontside BEOL wire layer connected to the power supply rail through a gate, wherein the gate is of a type to be powered off by a power supply coupled through the gate from the power supply rail to the first frontside BEOL wire layer. A method of forming an integrated circuit structure includes forming a power supply rail in a backside of a semiconductor wafer, forming a gate in the semiconductor wafer, and forming a frontside BEOL wire layer connected to the power supply rail through the gate. Again, the gate is of a type to be powered off by a power supply coupled through the gate from the power supply rail to the first frontside BEOL wire layer.
A semiconductor structure is provided including a backside source/drain contact structure that contacts a source/drain region of a transistor and overlaps a portion of a tri-layered bottom dielectric isolation structure that is located on a backside of the transistor. The presence of the tri-layered bottom dielectric isolation structure prevents shorting between the gate structure of the transistor and the backside source/drain contact structure, and thus improves process margin.
H01L 29/78 - Field-effect transistors with field effect produced by an insulated gate
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 23/535 - Arrangements for conducting electric current within the device in operation from one component to another including internal interconnections, e.g. cross-under constructions
Systems, methods and/or computer program products predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zone (s) and optimizing time for servicing a plurality of physical assets. Digital twin models of physical assets are classified, and arranged into workflows for the service zones, sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, the estimated time of arrival and similarities between classifications of different digital twins of physical assets. Based on sequences of the workflow, arrival times of physical assets and overlap between parts, tools, machines, etc., within various service zones, service center coordinates robotic systems to arrange service zones in a manner that minimizes waiting time between services, maximizes the number of physical assets repaired within a period of time and reduces rearrangement of service zones between the services provided to different physical assets.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
40.
MODIFIED INTERNAL CLEARANCE(S) AT CONNECTOR PIN APERTURE(S) OF A CIRCUIT BOARD
A method of fabricating a multilayer circuit board is provided which includes forming a layer of a the multilayer circuit board with an internal clearance region having a modified voltage-to-ground clearance of conductive material adjacent to an aperture of the multilayer circuit board. The modified voltage-to-ground clearance of conductive material is based on a configuration of a connector pin to be press-fit connected within the aperture of the multilayer circuit board, and the internal clearance region is enlarged in a direction of greatest normal force outward from the aperture with insertion of the connector pin into the aperture.
According to an aspect, a computer-implemented method for performing distributed communication operations includes receiving a request, by a first computing system, to perform a distributed communication operation and obtaining, by the first computing system, a tree structure for performing the distributed communication operation, wherein the first computing system is a root node of the tree structure. The method also includes creating, by the first computing system, a message having header information and a payload for the distributed communication operation and transmitting, by the first computing system, a portion of the message to each child node of the first computing system, wherein the portion transmitted to each child node is unique.
Identifying an indistinct entity within an image can include generating by an image filter multiple gradients, each of which corresponds to one of a plurality of pixels of an image captured by an imager. The image can be searched for a likely repeating pattern. Responsive to detecting, based on the multiple gradients, a likely repeating pattern within the image, data structures can be generated, the data structures comprising a set of probabilistically weighted feature vectors corresponding to the likely repeating pattern. A machine learning model can classify each of the set of probabilistically weighted feature vectors. An identity of the likely repeating pattern can be output, the identity based on the machine learning model classifications of the probabilistically weighted feature vectors.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
43.
MODELING A MANUFACTURING PROCESS USING SNAPSHOTS OF A SYSTEM
A computer-implemented method, system and computer program product for modeling a manufacturing process. Snapshots of the system are received, where each snapshot includes a time that the snapshot was taken and a state of the system at that time. Possible transitions paths in a state diagram exhibited by the system are then identified based on the snapshots. A transition path out of the identified transition paths that most likely corresponds to the sequence of state changes exhibited by the system is selected based on information pertaining to a typical time taken by the system from one state to another. A predicted time that the system entered each state of the selected transition path between selected states of the snapshots is determined based on such information as well as the time at which the snapshots were taken. An issue related to the manufacturing process is predicted based on such predicted times.
G06F 9/448 - Execution paradigms, e.g. implementations of programming paradigms
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
A reaming tool vacuum assembly comprising: a reaming tool comprising a reaming bit, the reaming bit comprising: a tip end; a base end; a plurality of flutes tapered toward the tip end; a plurality of apertures positioned between the plurality of flutes, wherein the plurality of apertures define a plurality of openings to an interior chamber of the reaming bit; a first rigid tube positioned in the interior chamber of the reaming bit, wherein the reaming bit is rotatable around a longitudinal axis of the first rigid tube and independent of the first rigid tube; and a vacuum to provide suction in the interior chamber of the reaming bit via the first rigid tube.
The present disclosure includes systems and methods for reducing rewrite overhead in a sequential access storage system. The method may comprise writing a data set to a sequential access medium using a magnetic head, wherein the data set comprises a plurality of encoded data blocks, classifying each of the plurality of encoded data blocks on the sequential access medium into one of at least three classes of write quality, and rewriting the encoded data blocks in a rewrite area of the sequential access medium based at least in part on the write quality class. In some embodiments, the at least three classes of write quality may comprise a hard rewrite class for which rewrites are necessary to prevent data loss, a soft rewrite class for which rewrites are desirable but not necessary, and a no rewrite class for which no rewrite is needed or desired.
A method for forming an electronic device that includes solder bonding pins from a component to plated through holes of a board, the component being positioned on a first side of the board; and applying solder paste to openings of the plated through holes on a second side of the board opposite the first side of the board that the component is positioned on. The method can further include drawing the solder paste to the pins to provide a reworked solder bond bonding at least one of the pins to the plated through hole.
H05K 3/34 - Assembling printed circuits with electric components, e.g. with resistor electrically connecting electric components or wires to printed circuits by soldering
A processor may identify that a new data entry is being generated. The processor may identify that the new data entry is associated with a replica data entry threshold. The replica data entry threshold may indicate a minimum amount of replica data entries to generate. The replica data entries may be substantially similar to the new data entry. The processor may generate an amount of replica data entries. The processor may store the new data entry and the amount of replica data entries in a repository.
G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Provided are a computer-implemented method, a system, and a computer program product for futureproofing a machine learning model, in which historical data for updates and changes to a baseline machine learning model are received. A futureproofing metric is generated. An enhanced machine learning model comprising a futureproofed version of the baseline machine learning model is generated with the historical data and the baseline machine learning model as inputs.
A computer implemented method includes performing a gradient update for a stochastic gradient descent (SGD) of a deep neural network (DNN) using a first set of hidden weights stored in a first matrix comprising a Resistive Processing Unit (RPU) crossbar array. A second matrix comprising a second set of hidden weights is stored in a digital medium. A third matrix comprising a set of reference values is computed upon a transfer cycle of the first set of weights from the first matrix to the second matrix, accounting for a sign-change (chopper). The third matrix is stored in the digital medium. A third set of weights is updated for the DNN from the second matrix when a threshold is reached for the second set of weights, in a fourth matrix comprising a RPU crossbar array.
A qubit device or system having isolated bottom corner gates includes a semiconductor substrate and a semiconductor fin perpendicularly adjoining a top surface of the substrate. The qubit device also includes a first gate located at a first corner between a first side of the fin and the top surface of the substrate, and a second gate located at a second corner between a second, opposite side of the fin and the top surface of the substrate. The first and second gates are electrically isolated from each other and used to control a first quantum dot near the top of the fin. A third gate located at the first corner has a contact for accumulating a channel to facilitate charge transport to and from a second quantum dot located near the bottom of the fin accumulated using the first and second gates.
Computer technology for determining and tagging parts of speech in a text (that is PoS ragging), where the context used by the natural language processing machine logic (for example, NLP software) includes both: (i) other words in the sentence under analysis where a given word to be tagged appears; and (ii) words in the other sentences besides the sentence under analysis. Other context sentences may be selected randomly, by Next Sentence Prediction technology and/or by choosing sentences in textual proximity to the sentence under analysis.
A computer-implemented method, system and computer program product for generating in-distribution samples of data for a neighborhood distribution to be used by post-hoc local explanation methods. An autoencoder is trained to generate in-distribution samples of input data for the neighborhood distribution to be used by a post-hoc local explanation method. Such training includes mapping the input data (e.g., time series data) into a latent dimension (or latent space) forming a first and a second latent code. A mixed code is then obtained by convexly combining the first and second latent codes with a random coefficient. The mixed code is then decoded with the input data masked with interpretable features to obtain conditional mixed reconstructions. Adversarial training is then performed against a discriminator in order to promote in-distribution samples by computing the reconstruction losses of the conditional mixed reconstructions as well as the discriminator losses and then minimizing such losses.
In an approach to improve write transducers a write transducer for recording data on a magnetic media is disclosed. The write transducer comprises a first pole piece. The write transducer further comprises a second pole piece. The first pole piece and the second pole piece are arranged in such a way, that a write gap is formed between the first pole piece and the second pole piece. A longitudinal axis is defined between opposite ends of the write gap. A length of the write gap along the longitudinal axis varies in the direction transverse to the longitudinal axis.
G11B 5/187 - Structure or manufacture of the surface of the head in physical contact with, or immediately adjacent to, the recording medium; Pole pieces; Gap features
54.
MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM
An embodiment includes receiving, by a transformer monitoring system associated with a transformer, sensor data from one or more sensors during operation of the transformer. The embodiment also includes generating, by the transformer monitoring system, energy loss data representative of a predicted energy loss of the transformer based at least in part on the sensor data. The embodiment also includes training, by the transformer monitoring system, a failure rate prediction model using failure data, resulting in a trained failure rate prediction model that calculates failure probability distribution data indicative of a time at which a failure of the transformer is most likely to occur. The embodiment also includes generating, by the transformer monitoring system, replacement data representative of an optimal time for replacing the transformer based at least in part on the energy loss data, the failure probability distribution data, and specification data for the transformer.
A semiconductor device includes a backside power rail, a backside ground rail, and a backside isolation rail between the backside power rail and the backside ground rail. The backside isolation rail may provide adequate electrical isolation between the backside power rail and the backside ground rail, thereby enabling the backside power rail and the backside ground rail to be located relatively near to one another. The backside isolation rail may also cure actual electrical shorts between the backside power rail and the backside ground rail.
H01L 23/48 - Arrangements for conducting electric current to or from the solid state body in operation, e.g. leads or terminal arrangements
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/08 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
Provided are a floating-point unit, a system, and method for generating binary integer output or floating-point output based on a selector. A first input operand, a second input operand, a third input operand, and a result format selector value are received. The first input operand, the second input operand, and the third input operand comprise floating-point values. The first input operand, the second input operand, and the third input operand are processed to produce a final result comprising one of a binary integer value and a floating point value based on the result format selector value.
G06F 7/483 - Computations with numbers represented by a non-linear combination of denominational numbers, e.g. rational numbers, logarithmic number system or floating-point numbers
G06F 7/544 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using unspecified devices for evaluating functions by calculation
57.
METASTABILITY-FREE CLOCKLESS SINGLE FLUX QUANTUM LOGIC CIRCUITRY
A device includes a logic circuit comprising a clockless single flux quantum logic gate which comprises a plurality of input ports, an output port, an output Josephson junction, and a plurality of dynamic storage loop circuits and isolation buffer circuits. The output Josephson junction is coupled to an output of each dynamic storage loop circuit and configured to drive the output port. Each isolation buffer circuit is coupled to a respective input port, and a respective dynamic storage loop circuit and configured to absorb a circulating current of an antifluxon which is injected into the respective dynamic storage loop circuit to prevent the antifluxon from being output from the respective input port, and to inject a fluxon into the respective dynamic storage loop circuit in response to a single flux quantum pulse applied to the respective input port, and annihilate an antifluxon present in the respective dynamic storage loop circuit.
H03K 19/195 - Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits using specified components using superconductive devices
H03K 19/20 - Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits characterised by logic function, e.g. AND, OR, NOR, NOT circuits
Detecting fine-grained similarity in image includes determining a core area of a search image by generating an image salient map from a plurality of layers of the search image and determining a connected area based on the image salient map. Feature descriptors are generated from the core area of the search image. A plurality of capsule vectors are generated from different ones of a plurality of keypoints of the feature descriptors. Capsule vectors of the search image are compared with capsule vectors of each image of the dataset to generate a top-K matrix. Similarity scores for the top-K matrix are calculated. One or more image of the dataset having fine-grained similarity with the search image are selected based a bundled similarity score for each image of the dataset. The bundled similarity score is a summation of the similarity scores of the image.
G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
G06F 16/532 - Query formulation, e.g. graphical querying
G06F 16/56 - Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
Computer-implemented methods for dynamic sensor printing and deployment. Aspects include receiving, from one or more symptom tracking sensors disposed on an apparatus, data regarding a condition of the apparatus and analyzing the data regarding the condition of the apparatus. Aspects also include determining, based on the analysis, one or more required additional measurements of the apparatus and creating, by a three-dimensional printer, one or more sensors configured to measure the one or more required additional measurements. Aspects further include placing the one or more sensors on the apparatus.
A method of this disclosure may include performing a named entity recognition on text information related to requirements for a wireframe by a first artificial intelligence (AI) model, so as to extract entities and relations of the entities from the text information. The method may further comprise inputting the extracted entities and relations to a second AI model to generate the wireframe, wherein the second AI model is trained so that a difference between resultant relations of the entities of the generated wireframe and the extracted relations of the entities from the first AI model is decreased.
An integrated circuit structure includes a power supply rail formed in a backside of a semiconductor wafer. The integrated circuit structure also includes a frontside BEOL wire layer connected to the power supply rail through a gate, wherein the gate is of a type to be powered off by a power supply coupled through the gate from the power supply rail to the first frontside BEOL wire layer. A method of forming an integrated circuit structure includes forming a power supply rail in a backside of a semiconductor wafer, forming a gate in the semiconductor wafer, and forming a frontside BEOL wire layer connected to the power supply rail through the gate. Again, the gate is of a type to be powered off by a power supply coupled through the gate from the power supply rail to the first frontside BEOL wire layer.
H01L 23/528 - Layout of the interconnection structure
H01L 21/8238 - Complementary field-effect transistors, e.g. CMOS
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 29/08 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
A cryogenic system comprising a first cryogenic stage and a second cryogenic stage. A first signal line passing from the first cryogenic stage and is connected to a superconducting thermal break in the second cryogenic stage. A second signal line connecting the superconducting thermal break to a cryogenic device.
Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a graph comprising nodes and edges that encodes said network of conductors and repowering structures; and receiving a modification recommendation from said reinforcement learning agent in response to inputting said graph into said reinforcement learning agent.
A computer implemented method manages nonintelligent items. A computer system identifies a workflow to be performed. The computer system identifies a group of the nonintelligent items involved in actions for the workflow. The computer system attaches a set of computing devices to the group of the nonintelligent items to convert the group of the nonintelligent items into a group of converted nonintelligent items. The computer system performs the actions in the workflow using the group of converted nonintelligent items.
A semiconductor device includes: a channel having layers of silicon separated from each other; a metal gate in contact with the layers of silicon; source/drain regions adjacent to the metal gate; a frontside power rail extending through the layers of silicon; a dielectric separating the frontside power rail from the metal gate; a via-connect buried power rail extending through the dielectric and coupling the frontside power rail to the source/drain regions; and a backside power rail coupled to the frontside power rail. The layers of silicon are wrapped on three sides by the metal gate.
H01L 23/528 - Layout of the interconnection structure
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 23/48 - Arrangements for conducting electric current to or from the solid state body in operation, e.g. leads or terminal arrangements
H01L 27/12 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being other than a semiconductor body, e.g. an insulating body
A computer implemented method manages function execution in a container. A dispatcher in the container running in a computer system executes a function initialization in response to a first request for a function. The dispatcher in the container running in the computer system creates group of handlers in response to receiving a group of requests for the function. The dispatcher in the container running in the computer system sends the group of requests to the group of handlers in response to receiving the group of requests. The dispatcher in the container running in the computer system executes the group of requests using the group of handlers.
Embodiments relate to interactive editing of a machine-generated document. A computer-implemented method includes receiving, by a processor, a machine-generated document and performing a comparison of a current state of the machine-generated document to a previous state. A user edit is identified as one or more user-replaced tokens of a previous token sequence based at least in part on the comparison. A new version of the machine-generated document is generated that includes the one or more user-replaced tokens and identifies one or more related tokens to replace with a suggested replacement token sequence associated with the one or more user-replaced tokens. A suggestion list is generated for display to the user in a graphical user interface to indicate the suggested replacement token sequence to replace the one or more related tokens.
An embodiment for augmented reality (AR)-based visualization of an accidental situation in a multi-machine environment is provided. The embodiment may include receiving real-time and historical data relating to an activity. The embodiment may also include identifying a context of the activity and at least one property of one or more objects associated with the activity. The embodiment may further include identifying one or more items of safety equipment used by a user. The embodiment may also include assigning a compatibility score to the user. The embodiment may further include in response to determining the compatibility score is not adequate, executing a digital twin simulation of an avatar of the user. The embodiment may also include creating a visual animation of a resultant state of the avatar of the user consistent with the executed digital twin simulation. The embodiment may further include displaying the visual animation to the user.
A computer-implemented method dynamically switches access plans for a query during concurrent query execution. The method includes receiving a first query configured to be processed by a database system. The method also includes generating, for the first query, an access plan for each of identified resource sets. The method includes determining a first set of available resources that represent an available capacity for the database system. The method further includes selecting a first resource set of the one or more resource sets, where the selecting is based on the first set of available resources being closest to the first resource set. The method also includes selecting, based on the first set of available resources, a first access plan of the one or more access plans. The method includes executing the first query and returning results of the first query to a source of the first query.
A computer-implemented method for grouping devices in a massive multiple-input and multiple-output (MIMO) -based cellular network includes determining movement states of end devices in a cell of the massive MIMO-based cellular network, estimating payload requirements of the end devices, and grouping the end devices in a group based on the determined movement states and the estimated payload requirements.
A method for forming an electronic device that includes solder bonding pins (40) from a component (50) to plated through holes (25) of a board (55), the component being positioned on a first side F1 of the board; and applying solder paste to openings of the plated through holes on a second side F2 of the board opposite the first side of the board that the component is positioned on. The method can further include drawing the solder paste to the pins to provide a reworked solder bond (80) bonding at least one of the pins to the plated through hole.
H05K 3/34 - Assembling printed circuits with electric components, e.g. with resistor electrically connecting electric components or wires to printed circuits by soldering
H05K 3/22 - Secondary treatment of printed circuits
Embodiments of present invention provide a method of forming a phase change memory device. The method includes forming a bottom electrode on a supporting structure; forming a first blanket dielectric layer, a phase-change material layer, a second blanket dielectric layer, and a hard mask sequentially on top of the bottom electrode; forming an inner spacer in an opening in the hard mask to modify the opening; extending the opening into the second blanket dielectric layer to create an extended opening; filling the extended opening with a heating element; etching the second blanket dielectric layer, the phase-change material layer, and the first blanket dielectric layer respectively into a second dielectric layer, a phase-change element, and a first dielectric layer; forming a conductive liner surrounding the phase-change element; and forming a top electrode on top of the heating element. A structure formed thereby is also provided.
In an approach to improve write transducers a write transducer for recording data on a magnetic media is disclosed. The write transducer comprises a first pole piece. The write transducer further comprises a second pole piece. The first pole piece and the second pole piece are arranged in such a way, that a write gap is formed between the first pole piece and the second pole piece. A longitudinal axis is defined between opposite ends of the write gap. A length of the write gap along the longitudinal axis varies in the direction transverse to the longitudinal axis.
A coordinator module for improving communications within a cloud computing system is disclosed. The coordinator module initiates transaction requests by generating a coordination context, where the coordination context includes a transaction context, a coordination type, and an initiator supplemental address. The coordinator module includes a supplemental address handler for creating the initiator supplemental address that unique identifies the coordinator module and the associated pod. The coordinator module receives transaction responses, where the transaction response includes a coordination context. The coordinator module includes a transaction context checker to verify that the transaction response was not received in error, by comparing the received transaction context with a saved transaction context. The coordinator module includes a registration bridge that identifies an alternate coordinator module and alternate pod to process the transaction response if the transaction contexts do not match. The registration bridge compares the received initiator supplemental address with a saved supplemental address that uniquely identifies each coordinator module and associated pods in the cloud partition. The registration bridge forwards the transaction request to the alternate coordinator module if a match is found, thereby creating a communication path to successfully process the transaction. If no match is found, the coordinator module indicates that the transaction must be retried. A corresponding method and computer program product are also disclosed.
A computer-implemented method and a computer program product for pending updates status queries in extended link services. A host application on a host device queries an update pending on a target device. The host device constructs a pending update query command for the target device, where the pending update query command includes a descriptor tag, a descriptor length, and a pending update vector. The host device sends the pending update query command to the target device. The host device receives from the target device a response to the pending update query command, where the response includes a link service request information descriptor and a pending update descriptor.
A computer-implemented method, a computer system and a computer program product generate a contextual display for a mobile computing device. The method includes identifying a task for the mobile computing device, wherein the task comprises a set of applications on the mobile computing device. The method also includes obtaining application usage data for each application in the set of applications and determining an application context for the task based on the application usage data and the set of applications, wherein the application context includes usage requirements for each application. In addition, the method includes generating a tile view for each application in the set of applications, wherein each tile view is laid out based on the usage requirements. Lastly, the method includes displaying a task view on the mobile computing device, wherein the task view is generated by laying out the tile views based on the usage requirements.
One or more computer processors receive a domain name system (DNS) request in response to a client connecting to a compute resource. The one or more computer processors decoding the DNS request into one or more provision parameters. The one or more computer processors determining that the compute resource is unavailable for a connection with the client utilizing the identified IP address. The one or more computer processors, responsive to determining that the compute resource is not available or not ready, provisioning and deploying a new compute resource according to the one or more decoded provision parameters, wherein the new compute resource is available to the client under the identified IP address.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware and
software; computer hardware and software for information
technology analysis and data management; computer hardware
and software for application development; computer hardware
and software for cloud computing; computer hardware and
software for cognitive computing; computer hardware and
software for artificial intelligence; computer hardware and
software for blockchain technology; computer hardware and
software for quantum computing and quantum programming;
computer hardware, namely, magnetic tape units (data
processing), magnetic tapes, printed circuits, integrated
circuits, computer keyboards, compact disks (audio-video),
optical disks, couplers (data processing), diskettes,
magnetic data carriers; computer hardware, namely, video
screens, scanners (data processing equipment), computer
printers, interfaces (data processing), readers (data
processing), software (recorded programs), microprocessors,
modems, monitors (hardware), computers, computer memories,
computer peripherals; computer adapters; computer
components; data processing equipment; data processing
equipment for data and information management;
semiconductors; machine-readable electronic data media;
magnetic disks; disk drives; tape recorders; calculating
machines; cash registers; facsimile machines; video
recorders; videotapes; electric cells and electric
batteries; computer chips; boards for integrated circuits;
computer accessories, namely, computer communication
servers; computer carrying cases; computer interface boards;
computer cables and computer cable parts; fax modem cards
for computers; computer accessories, namely, screen filters,
mouse pads, radio pagers, joysticks; electric converters,
namely, digital-to-analog, analog-to-digital and
step-by-step voltage switches; computer mice; integrated
circuit cards and smart cards, adapters for integrated
circuits and adapters for smart cards; readers for
integrated circuit cards and smart cards; microcomputers;
electrical power supplies; projectors (projection
apparatus); remote controls for computers; inverters, surge
protectors and uninterruptible power supplies; point-of-sale
terminals (payment terminals); computer servers; computer
storage devices, namely high-speed storage subsystems for
storage and backup of electronic data either locally or via
a telecommunication network; recorded and downloadable
computer programs and software; video game software;
operating system software and programs; software used for
accessing a global computer network; document management
software; database management software; software used for
locating, retrieving and receiving text, electronic
documents, graphics and audiovisual information on
enterprise-wide internal computer networks and local and
wide-area global computer networks; software used for
software development and web authoring and user manuals in
electronic format sold as a unit with these products;
computer software for use in controlling the operation and
execution of computer systems, programs, and computer
networks; computer software for use in connecting disparate
computer networks and systems, computer servers and storage
devices; computer programs for linking computers together
and for enabling computer activities across a global
computer network; computer software for managing systems,
software and processes that exist within an information
technology environment; computer systems combining computer
hardware and software for use in management and analysis of
data and instruction manuals in electronic format sold with
these products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable cloud
computing software for deploying and managing virtual
machines on a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; software for developing, building and
operating blockchain applications; computer hardware and
computer software for developing and testing quantum
algorithms; documentation and instruction manuals recorded
on machine-readable electronic data media and relating to
computers or computer programs; electronic publications,
downloadable; electronic publications on computer media,
namely, user manuals, guide books, brochures, information
sheets, written presentations and teaching materials in the
field of computing, computer networks, computer storage,
computer operating systems, information technology, database
management, cloud computing, artificial intelligence,
blockchain technology and quantum computing. Advertising; sales promotion services (for third parties);
commercial business management and advice regarding
commercial business management; business information;
distribution of prospectuses; distribution of samples;
arranging newspaper subscriptions for third parties;
accounting; document reproduction; systematization of data
in a central file; organization of exhibitions for
commercial or advertising purposes; business management
consulting services and business consulting services;
business development service; analysis of market research
data and statistics; electronic data processing; computer
data processing services for artificial intelligence;
computer data processing services for cognitive computing;
computer data processing services for cloud computing;
computer data processing services for blockchain technology;
computer data processing services for data management;
computer data processing services for quantum computing and
quantum programming; arranging and conducting trade show
exhibitions in the field of computers, computer services,
information technology, artificial intelligence, cloud
computing, blockchain technology, quantum computing,
database management and electronic business transactions via
a global computer network; business consulting services for
companies regarding artificial intelligence; business
consulting services for companies regarding computer systems
that integrate Natural Language Processing (NLP),
Computational Linguistics (CL), Information Retrieval (IR)
and Machine Learning (ML) functions and capable of
understanding general human queries and formulating
responses; business consulting services for companies
relating to cloud computing; business consulting services
for companies regarding blockchain technology; business
consulting services for companies regarding quantum
computing, quantum programming and for developing and
testing quantum algorithms; business consulting services for
companies regarding information technology; analyzing and
compiling business data; systemization of data in computer
databases. Insurance services; financial services; financial affairs;
services connected with monetary affairs; banking affairs;
real estate affairs; hire-purchase financing services;
capital investment; financial advice services; stock
exchange quotations; lending (financial services); financial
information and operations; financial transactions;
financial management of mutual funds; fund management and
investment services; savings services; actuarial services;
factoring; credit agency services; real estate appraisal;
real property management; money lending in the field of
purchase or rental of computer products and services;
capital investment consultation; financial analysis and
consultation; financial management; financial planning;
investment services, namely, the acquisiton of real
property, consultation, development and management services
relating thereto; financial valuation of new technologies
for others; venture capital funding services to emerging and
start-up companies. Computer programming; Software as a service (SaaS) services
featuring software for data management; software as a
service (SaaS) services featuring software for cloud
computing; software as a service (SaaS) services featuring
software for artificial intelligence; software as a service
(SaaS) services featuring software for cognitive computing;
software as a service (SaaS) services featuring software for
blockchain technology; software as a service (SaaS) services
featuring software for quantum computing and quantum
programming; software as a service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; software as a service
(SaaS) services featuring software for developing and
testing quantum algorithms; computer programming and
computer consulting services for artificial intelligence;
computer programming and computer consulting services for
cognitive computing; computer programming and computer
consulting services for information management; computer
programming and computer consulting services for data
management; computer programming and computer consulting
services for cloud computing; computer programming and
computer consulting services for blockchain technology;
computer programming and computer consulting services for
quantum computing; computer programming and computer
consulting services for software as a service (SaaS);
design, installation, updating and maintenance of software;
computer software and hardware design for the benefit of
third parties, and professional advisory services in the
field of computers; technical support services, namely,
troubleshooting of computer program and software problems;
computer services, namely, design, creation and maintenance
of websites for third parties; computer systems analysis,
database and network integration, computer programming for
third parties, all for use in commercial interactions over
global computer networks; design of systems for
interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer software and hardware testing services
(quality and technical controls); technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; scientific and industrial
research, namely research and development of new products,
biological research, bacteriological research, chemical
research, cosmetology research, mechanical research,
geological research, technological research, pharmaceutical
research, scientific research for medical purposes;
information technology consulting; computer system
integration services; consulting services in the field of
design, selection, implementation and use of computer
hardware and software systems for third parties; technical
support services, namely, troubleshooting computer program
problems; computer system design services for third parties;
design of systems for interconnection of computers and
computer programs, namely, integration of computer systems
and computer networks; computer program and computer
hardware testing services, namely testing of software,
computers and servers to ensure proper functioning thereof;
cloud computing services, namely, integrated computer
hardware and network software services for dynamic
provisioning, virtualization, and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
storage of electronic data and data recovery; data security
service; computer support services with respect to computer
programs provided by computer specialists; design of
computer hardware for computer networks; design and
development of computers; technical support services, namely
computer hardware problem solving.
80.
SOFTWARE COMPLIANCE MANAGEMENT FOR HYBRID ENVIRONMENT
An example operation may include one or more of identifying, via a hybrid environment, components which are included in a software program within the hybrid environment, generating a software bill of materials (SBOM) for the software program which comprises names of the identified components, detecting that the software program does not comply with a predefined policy based on the names of the identified components within the SBOM, and displaying a notification via a user interface based on the detection.
Examples described herein provide a computer-implemented method that includes, in response to receiving a request against the workload in an environment comprising predetermined cloud-based containers, searching predetermined container runtime interface metadata across a plurality of compute nodes in the environment to locate runtime processes. The method further includes selecting, for each runtime process located, a respective applicable profiler from a set of predetermined profilers sharing a transactional database. The method further includes injecting, for each runtime process located, predetermined code libraries for each respective applicable profiler. The method further includes re-linking the predetermined code libraries for each respective applicable profiler. The method further includes executing, for each runtime process located, each respective applicable profiler to produce a set of results.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to interpret results of a semantic clustering Structured Query Language (SQL) Cognitive Intelligence (CI) query. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an interpretability component that can identify dominant traits of a query input to determine a ranking of query results by identifying influential tokens of the query input based on data statistics and observing the dominant traits in influential tokens of a query output. In one or more embodiments, the interpretability component can identify dominant traits of the query input by incorporating co-occurrence measurements.
Methods, systems, and computer program products for a joint prediction and improvement framework for machine learning models are provided herein. A method includes obtaining a machine learning model initialized with a set of parameters; identifying one or more actions based on test inputs corresponding to the machine learning model and historical actions related to a task, where the historical actions are dependent on respective historical outputs of the machine learning model; using the identified one or more actions to jointly compute: one or more first values corresponding to inference loss for the machine learning model; and one or more second values based at least in part on a computing cost function associated with the task; and updating the set of parameters of the machine learning model based on the one or more first values and the one or more second values.
Embodiments of present invention provide a method of forming a phase change memory device. The method includes forming a bottom electrode on a supporting structure; forming a first blanket dielectric layer, a phase-change material layer, a second blanket dielectric layer, and a hard mask sequentially on top of the bottom electrode; forming an inner spacer in an opening in the hard mask to modify the opening; extending the opening into the second blanket dielectric layer to create an extended opening; filling the extended opening with a heating element; etching the second blanket dielectric layer, the phase-change material layer, and the first blanket dielectric layer respectively into a second dielectric layer, a phase-change element, and a first dielectric layer; forming a conductive liner surrounding the phase-change element; and forming a top electrode on top of the heating element. A structure formed thereby is also provided.
H01L 45/00 - Solid state devices specially adapted for rectifying, amplifying, oscillating, or switching without a potential-jump barrier or surface barrier, e.g. dielectric triodes; Ovshinsky-effect devices; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof
85.
PROCESSING COMPLEX PACKED TENSORS USING INTEGRATED CIRCUIT OF REAL AND COMPLEX PACKED TENSORS IN COMPLEX DOMAIN
An example system includes a processor that can receive a number of complex packed tensors, wherein each of the complex packed tensors include real numbers encoded as imaginary parts of complex numbers. The processor can execute a single instruction, multiple data (SIMD) operation on the complex packed tensors using an integrated circuit of real and complex packed tensors in a complex domain to generate a result.
Systems and techniques that facilitate expectation value calculation by grouping Pauli-strings are provided. In various embodiments, a system can comprise an expectation component that calculate expectation values of two Pauli-strings based on a first bit series of a first Pauli-string of the two Pauli-strings and a second bit series of a second Pauli-string of the two Pauli-strings, wherein bit series comprise a first value for a position of an x or y in a Pauli string and a second value for a position of a non-x or y in the Pauli-string.
A computer-implemented method for saving, renaming, or moving a file includes receiving a request to save, rename or move a file, determining real-time context data and meta-data for the file in response to receiving the request to save, rename or move the file, generating a suggested pathname using the real-time context data and presenting the suggested pathname to a user. The suggested pathname may include a folder or directory name and a filename. The method may also include enabling the user to edit and approve the suggested pathname. Examples of context data include a password hint for the file, storage attributes for the file, collaboration data for the file, calendar data for the user, a file naming policy for an organization, real-time IoT data, and a topic determined from content within the file. A corresponding system and computer program product for executing the above method are also disclosed herein.
Computer-implemented methods for wireless power transfer among multiple vehicles are provided. Aspects include identifying a group of vehicles, from a plurality of vehicles, that require charging and identifying a wireless charging capability of each vehicle of the group of vehicles. Aspects also include deploying wireless power chargers to the vehicles of the group of vehicles that do not have wireless charging capability and charging each vehicle of the group of vehicles using a wireless power transfer module. The charging of the group of vehicles is performed while the vehicles are in motion.
B60L 53/126 - Methods for pairing a vehicle and a charging station, e.g. establishing a one-to-one relation between a wireless power transmitter and a wireless power receiver
B60L 53/36 - Means for automatic or assisted adjustment of the relative position of charging devices and vehicles by positioning the vehicle
B60L 53/66 - Data transfer between charging stations and vehicles
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
89.
DOMAIN ADAPTIVE SPEECH RECOGNITION USING ARTIFICIAL INTELLIGENCE
Methods, systems, and computer program products for domain adaptive speech recognition using artificial intelligence are provided herein. A computer-implemented method includes generating a set of language data candidates, each language data candidate comprising one or more graphemes, by processing a sequence of phonemes related to input speech data using an artificial intelligence-based data conversion model; determining, for a target pair of phonemes and graphemes, a subset of graphemes from the set of language data candidates; generating a first speech recognition output by processing the subset of graphemes using at least one biasing language model and an artificial intelligence-based speech recognition model; generating a second speech recognition output by replacing at least a portion of the subset of graphemes in the first speech recognition output with at least one of the graphemes from the target pair; and performing automated actions based on the second speech recognition output.
Targeted acquisition of data for model training includes identifying attributes of classified samples of a collection of samples classified by a classification model, and generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
Embodiments of present invention provide a method of forming a MRAM structure. The method includes forming a sacrificial dielectric layer on top of a bottom contact; forming a stack of a first ferromagnetic layer, a tunnel barrier layer, a second ferromagnetic layer, and at least one hard mask on top of the sacrificial dielectric layer; forming an interlevel-dielectric (ILD) layer surrounding the stack; creating one or more via holes in the ILD layer to expose the sacrificial dielectric layer; selectively removing the sacrificial dielectric layer to create an opening underneath the first ferromagnetic layer; filling the opening with a first conductive material to form a bottom electrode; removing the at least one hard mask to expose the second ferromagnetic layer; and forming a top electrode of a second conductive material on top of the second ferromagnetic layer. An MRAM structure formed thereby is also provided.
H01L 43/02 - Devices using galvano-magnetic or similar magnetic effects; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof - Details
H01L 27/22 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate using similar magnetic field effects
H01L 43/12 - Processes or apparatus specially adapted for the manufacture or treatment of these devices or of parts thereof
92.
SEMICONDUCTOR STRUCTURE WITH FULLY WRAPPED-AROUND BACKSIDE CONTACT
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 23/528 - Layout of the interconnection structure
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 29/08 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
H01L 29/775 - Field-effect transistors with one-dimensional charge carrier gas channel, e.g. quantum wire FET
A semiconductor structure includes a backside power rail disposed in a backside dielectric layer, and dielectric spacer layers laterally extending inwardly from opposing sidewalls of the backside dielectric layer and on a portion of a bottom surface of the backside power rail.
An enhanced threat disposition analysis technique is provided. In response to receipt of a security threat identified in an alert, a threat disposition score (TDS) is retrieved. The TDS is generated from a machine learning scoring model that is built from information about historical security threats, including historical disposition of one or more alerts associated with the historical security threats. The TDS is based in part on an effectiveness of a prior calculated TDS to predict a particular historical disposition associated with the alert. The system augments an alert to include the threat disposition score, optionally together with a confidence level, to generate an enriched alert. The enriched alert is then presented to the security analyst for handling directly. Preferably, the machine learning model is updated continuously as the system handles security threats, thereby increasing the predictive benefit of the TDS scoring.
A probability distribution corresponding to the kernel function is determined and weights are sampled from the determined probability distribution corresponding to the given kernel function. Memristive devices of an analog crossbar are programmed based on the sampled weights, where each memristive device of the analog crossbar is configured to represent a corresponding weight. Two matrix-vector multiplication operations are performed on an analog input x and an analog input y using the programmed crossbar and a dot product is computed on results of the matrix-vector multiplication operations.
A computer-implemented method for virtual space insertion is provided. The computer-implemented method includes receiving first and second user inputs from users regarding user information and regarding a virtual space targeted for entry by each of the users, respectively, obtaining spatial and occupancy information of the virtual space, determining insertion point requirements for the entry of each of the users into the virtual space from the first user inputs, generating a self-similar geometric insertion point pattern compatible with the insertion point requirements to a first threshold and with the spatial and occupancy information to a second threshold and mapping an insertion point for the entry of each of the users into the virtual space to the self-similar geometric insertion point pattern.
A computer implemented method for spacing vehicles. A computer system simulates the vehicles moving on a road using a simulation system. The computer system determines an energy of the vehicles moving on the road using the simulation system. The computer system determines a desired spacing for the vehicles needed to reduce an undesired vehicle contact in response to an unexpected change in driving parameters for a number of the vehicles based on the energy of the vehicles moving on the road using the simulation system. The computer system performs a set of actions for the vehicles using the desired spacing determined for the vehicles.
A computer-implemented method according to one embodiment includes displaying an avatar associated with a second user on an augmented reality (AR) lens of a first communication device, in response to receiving, on the first communication device worn by a first user, a notification from a second communication device of the second user. The first user is monitored for a predetermined gesture. In response to a determination that the first user performs a first predetermined gesture, an action associated with the first predetermined gesture is performed by the first communication device. The method further includes outputting a response associated with the first predetermined gesture. The response indicates an availability of the first user to communicate with the second user.
A method, computer program product, and computer system are provided. A processor receives message data from a natural language conversation among participants in a project. A processor identifies at least two tasks mentioned in the message data. A processor determines a dependency between the at least two tasks based on the output of a sequential language model, where the messages associated with the at least two tasks are inputs to the sequential language model. A processor generates a directed graph depicting the at least two tasks and the determined dependency of the at least two tasks. A processor shares a directed graph across participants. A processor notifies participants who are blocked when dependent tasks are complete.
According to an aspect, a computer-implemented method includes identifying applications in a network environment that perform periodic data extraction and data transmission operations and identifying a frequency and a data transmission load for each of the operations. Aspects also include predicting an available bandwidth in the network environment based at least in part on the periodic data extraction and data transmission operations and based on a determination that the available bandwidth in the network environment will fall below a threshold value during a time interval instructing the applications to modify the one or more of the periodic data extraction and data transmission operations to increase the frequency associated with the one or more of the periodic data extraction and data transmission operations.
