The present disclosure contemplates a method for synchronizing a large number of generators on an AC bus simultaneously by closing the generator breakers when the generators are rotating but de-energized. Then excitation is raised for each generator simultaneously, causing the generators to synchronize as voltage increases, without large transient current surges that can damage the machines. In order to safely maximize the rate at which excitation is raised, initial excitation can be controlled using current regulation, specifically controlling excitation current instead of voltage. Once a predetermined voltage is reached, a control scheme can be switched to a voltage regulation mode, which brings the generator to the final desired voltage.
H02P 1/56 - Arrangements for starting electric motors or dynamo-electric converters for starting dynamo-electric motors or dynamo-electric converters for starting two or more dynamo-electric motors simultaneously
H02P 5/68 - Arrangements specially adapted for regulating or controlling the speed or torque of two or more electric motors controlling two or more dc dynamo-electric motors
2.
Dynamic Participant Device Management for Hosting a Teleconference
Systems and methods for hosting a teleconference are disclosed herein. The method can include receiving, by a server, a request from a connected participant device to transition from a non-interactive slot to an interactive slot of the teleconference and moving, by the server, the connected participant device from the non-interactive slot to a buffer slot. The method can also include determining, by the server, a longest-inactive participant device among one or more participant devices currently occupying interactive slots; removing, by the server, the longest-inactive participant device from an associated interactive slot; and moving, by the server, the connected participant device from the buffer slot to the associated interactive slot.
A method includes receiving a spoken utterance that includes a plurality of words, and generating, using a neural network-based utterance classifier comprising a stack of multiple Long-Short Term Memory (LSTM) layers, a respective textual representation for each word of the of the plurality of words of the spoken utterance. The neural network-based utterance classifier trained on negative training examples of spoken utterances not directed toward an automated assistant server. The method further including determining, using the respective textual representation generated for each word of the plurality of words of the spoken utterance, that the spoken utterance is one of directed toward the automated assistant server or not directed toward the automated assistant server, and when the spoken utterance is directed toward the automated assistant server, generating instructions that cause the automated assistant server to generate a response to the spoken utterance.
A computer-implemented method for partially supervised image segmentation having improved strong mask generalization includes obtaining, by a computing system including one or more computing devices, a machine-learned segmentation model, the machine-learned segmentation model including an anchor-free detector model and a deep mask head network, the deep mask head network including an encoder-decoder structure having a plurality of layers. The computer-implemented method includes obtaining, by the computing system, input data including tensor data. The computer-implemented method includes providing, by the computing system, the input data as input to the machine-learned segmentation model. The computer-implemented method includes receiving, by the computing system, output data from the machine-learned segmentation model, the output data including a segmentation of the tensor data, the segmentation including one or more instance masks.
G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
5.
DECENTRALIZED LEARNING OF MACHINE LEARNING MODEL(S) THROUGH UTILIZATION OF STALE UPDATES(S) RECEIVED FROM STRAGGLER COMPUTING DEVICE(S)
During a round of decentralized learning for updating of a global machine learning (ML) model, remote processor(s) of a remote system may transmit, to a population of computing devices, primary weights for a primary version of the global ML model, and cause each of the computing devices to generate a corresponding update for the primary version of the global ML model. Further, the remote processor(s) may cause the primary version of the global ML model to be updated based on the corresponding updates that are received during the round of decentralized learning. However, the remote processor(s) may receive other corresponding updates subsequent to the round of decentralized learning. Accordingly, various techniques described herein (e.g., FARe-DUST, FeAST on MSG, and/or other techniques) enable the other corresponding updates to be utilized in achieving a final version of the global ML model.
Various arrangements involving a bidirectional pulse driver circuit are presented herein. The driver circuit can include a forward pulse trigger circuit and a forward pulse loop circuit. The forward pulse loop circuit can include a first silicon-controlled rectifier (SCR) that is activated by the forward pulse trigger circuit. The driver circuit can include a reverse pulse trigger circuit and a reverse pulse loop circuit. The reverse pulse loop circuit can include a second SCR that is activated by the reverse pulse trigger circuit. The driver circuit can also include a controller that activates the forward pulse trigger circuit and the reverse pulse trigger circuit in a first pattern to cause a current pulse to be applied to a load in a forward direction and in a second pattern to cause the current pulse to be applied to the load in a reverse direction.
H03K 3/57 - Generators characterised by the type of circuit or by the means used for producing pulses by the use of an energy-accumulating element discharged through the load by a switching device controlled by an external signal and not incorporating positive feedback the switching device being a semiconductor device
H03K 3/352 - Generators characterised by the type of circuit or by the means used for producing pulses by the use, as active elements, of bipolar semiconductor devices with more than two PN junctions, or more than three electrodes, or more than one electrode connected to the same conductivity region the devices being thyristors
7.
HEAD-WORN COMPUTING DEVICE WITH MICROPHONE BEAM STEERING
The disclosed devices and methods provide beamforming for a head-worn microphone array that can adapt to changes in the user's head position/orientation. The microphone array may be part of a head-worn computing device, which can be configured to automatically detect a direction for the beamforming based on computer-assisted recognition of a conversation with a participant. After the participant is identified, the beamforming can automatically steer the sensitivity of the microphone array towards the participant regardless of the position of the head user to improve a quality of the captured audio without constraining movement of a user. The improved audio may be used to aid in a user's hearing of the conversation, aid an augmented reality application corresponding to the conversation, and/or provide a degree of privacy by limiting sensitivity to participants in the conversation.
To provide navigation directions according to road surface types of road segments, a request for navigation directions from a starting location to a destination location is received. A set of candidate routes for navigating from the starting location to the destination location is identified. Then for each road segment within each candidate route, a road surface type for the road segment is determined. A route is selected from the set of candidate routes based at least in part on the road surface types of the road segments within the route. A set of navigation directions is provided for presentation on a client device for navigating from the starting location to the destination location via the selected route.
The technology is generally directed to a coordinated power throttling mechanism for a payload using power provided by a rack such that the rack power does not exceed a threshold amount for greater than a predetermined period of time. The coordinated power throttling mechanism includes the rack providing a power throttling signal to the payload and the payload executing the power throttling upon detection of the throttling signal. The payload may detect the throttling signal and, after a delay, execute the power throttling. The delay may ensure that all payloads within the rack have detected the power throttling signal.
An example device includes a display component that is configured to operate at a first refresh rate or a second refresh rate. The device also includes one or more processors operable to perform operations. The operations include identifying a rate change triggering event while the display component is operating at the first refresh rate. The operations further include determining a current brightness value of the display component. The operations also include determining, based on an environmental state measurement associated with an environment around the device, a threshold brightness value. The operations additionally include transitioning the display component from the first refresh rate to the second refresh rate m response to identifying the rate change triggering event if the current brightness value of the display component meets or exceeds the threshold brightness value.
G09G 3/20 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
11.
ROBOT NAVIGATION IN DEPENDENCE ON GESTURE(S) OF HUMAN(S) IN ENVIRONMENT WITH ROBOT
Training and/or utilizing a high-level neural network (NN) model, such as a sequential NN model. The high-level NN model, when trained, can be used to process a sequence of consecutive state data instances (e.g., N most recent, including a current state date instance) to generate a sequence of outputs that indicate a sequence of position deltas. The sequence of position deltas can be used to generate an intermediate target position for navigation and, optionally, an intermediate target orientation that corresponds to the intermediate target position. The intermediate target position and, optionally, the intermediate target orientation, can be provided to a low-level navigation policy, such as an MPC policy, and used by the low-level navigation policy as its goal position (and optionally goal orientation) for a plurality of iterations (e.g., until a new intermediate target position (and optionally new target orientation) is generated using the high-level NN model.
G05D 1/02 - Control of position or course in two dimensions
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
12.
SYSTEMS AND METHODS FOR HANDLING MACRO COMPATIBILITY FOR DOCUMENTS AT A STORAGE SYSTEM
A document including one or more macros in a first programming language is identified. A determination is made that one or more objects of the document are referenced by a function defined by a macro of the one or more macros. The function is converted into one or more sets of operations represented in a first programming language. A user is provided with access to the one or more objects of the document based on the one or more sets of operations represented in the second programming language.
G06F 8/76 - Adapting program code to run in a different environment; Porting
G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead
H04L 67/1097 - Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
13.
Methods and Systems for Improving Measurement of Sleep Data by Classifying Users Based on Sleeper Type
The present disclosure is directed towards systems and methods for improving analysis of sleep data by classifying users based on sleeper type. In particular, a wearable computing system can obtain a first set of motion sensor data from the motion sensor for a user during a first period. The wearable computing system can determine a sleeper type from a plurality of sleeper types for the user based on the first set of motion sensor data received from the motion sensor. The wearable computing system can select a sleep analysis model from a plurality of sleep analysis models based on the sleeper type determined for the user. The wearable computing system can use the selected sleep analysis model to analyze a second set of motion sensor data from a second period to determine one or more sleep characteristics for the user during the second period.
Provided are machine learning models that generate geometry-free neural scene representations through efficient object-centric novel-view synthesis. In particular, one example aspect of the present disclosure provides a novel framework in which an encoder model (e.g., an encoder transformer network) processes one or more RGB images (with or without pose) to produce a fully latent scene representation that can be passed to a decoder model (e.g., a decoder transformer network). Given one or more target poses, the decoder model can synthesize images in a single forward pass. In some example implementations, because transformers are used rather than convolutional or MLP networks, the encoder can learn an attention model that extracts enough 3D information about a scene from a small set of images to render novel views with correct projections, parallax, occlusions, and even semantics, without explicit geometry.
Systems and methods of the present disclosure include a method for increasing teleconferencing bandwidth efficiency via presentation of remotely accessible content. The method includes receiving a request to present content to a teleconference from a presenting participant device of the teleconference. The method includes generating a unit of software instructions that is configured to cause a participant device to access the content from an originating location that differs from the presenting participant device, and display the content within a shared content interface of the teleconference configured to display a view of the content that is consistent between each participant device of the teleconference. The method includes providing the unit of software instructions to one or more non-presenting participant devices of the teleconference.
Multiple global motion models associated with respective segments of a current frame are decoded from a compressed bitstream. Each global motion model is based on a segmentation of the current frame and represents a respective underlying motion of blocks within a respective segment. Blocks of the current frame are decoded by: for each inter-predicted block of a segment, decoding, form the compressed bitstream, an indication of whether to decode the each inter-predicted block based on a global motion model of the multiple global motion models and associated with the segment, or whether to decode the each inter-predicted block based on a motion vector that is different from the global motion model; and decoding the each inter-predicted block based on the indication.
H04N 19/517 - Processing of motion vectors by encoding
H04N 19/17 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
H04N 19/20 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video object coding
H04N 19/54 - Motion estimation other than block-based using feature points or meshes
H04N 19/543 - Motion estimation other than block-based using regions
H04N 19/547 - Motion estimation performed in a transform domain
H04N 19/557 - Motion estimation characterised by stopping computation or iteration based on certain criteria, e.g. error magnitude being too large or early exit
H04N 19/80 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
17.
MANAGING INSTALLATION AND UPDATES OF AN APPLICATION ON A COMPUTING DEVICE
This disclosure relates to a method for managing installation of applications, where the method includes receiving, from a first computing device associated with an administrator of an organization, a pin request to attach an application, provided by an application store platform, with a version of the application, initiating, in response to the pin request, transfer of a copy of the version of the application from the application store platform to a data storage device, generating an application identifier that identifies a location of the version of the application stored in the data storage device, and transmitting installation data to a second computing device that is managed by the organization. The installation data includes the application identifier, which is used by the second computing device to install the version of the application from the data storage device.
Aspects of the disclosure provide for verifying user-generated content (UGC). When the UGC is a review of an entity of a good or service, the review is verified when a UGC verification system determines that the user authoring the review was a consumer of a good or service offered by the entity. At the time of a transaction for a good or service, the UGC verification system can receive and respond to a request by a point-of-sale (POS) system to generate a unique encoding. The POS system may be implemented on a device in communication with, but separate from, a platform implementing the UGC verification system. The UGC verification system tracks receipt of requests to access a content form for leaving a review, so as to ensure that each generated encoding is only used to access the content form once.
Systems and methods of generating voice-based software applications are provided. A system can receive, from an application developer computing device, a request to build a voice-based software application. The system can select an application template from a plurality of application templates. The selected application template can include a module that corresponds to a function of the voice-based software application. The system can provide the selected application template to the application developer computing device. The system can receive, from the application developer computing device, an input for a field of the at least one module of the selected application template. The system can generate the voice-based software application based on the selected application template and the input for the at least one field of the at least one module of the selected application template.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G10L 15/18 - Speech classification or search using natural language modelling
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
G10L 15/28 - Constructional details of speech recognition systems
H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
H04N 21/458 - Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
20.
AUDIO-BASED POLLING DURING A CONFERENCE CALL DISCUSSION
One or more audio files including a recording of one or more verbal statements provided by a first participant of the conference call are obtained. A determination is made that the recorded one or more verbal statements include a question associated with audio-based polling of a set of second participants of the conference call. Response data indicating one or more responses to the question provided by at least one of the set of second participants is obtained. A report indicating one or more outcomes of the audio-based polling is generated based on at least the question and the one or more responses to the question indicated by the obtained response data.
Audio rendering devices comprising at least one audio rendering unit for playing audio streams, processing circuit and a wireless communication unit for establishing wireless links and related method are disclosed. One audio rendering device is configured to receive a remote audio stream prioritization policy comprising one or more lists of associations between audio stream attributes and priority values, update a local audio stream prioritization policy based on the remote audio stream prioritization policy, identify audio streams available via wireless links, retrieve audio stream attributes of the available audio streams, select an available audio stream to be played among the available audio streams, based on the updated local audio stream prioritization policy and based on the audio stream attributes of the available audio streams, and play the selected audio stream, by the audio rendering unit of the audio rendering device.
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for securely attributing application (app) installations while preserving user privacy are described. In one aspect, a method includes a given digital component that can be provided and can include a reference to a software application. A user interaction with the digital component that initiates installation of the application can be detected. The software application can be installed at a client device. The following can be obtained: (i) impression data that reference the software application and (ii) interaction data that reference the software application. Attribution credits for the installation of the software application can be assigned by applying an attribution model to the presentation and interaction data. Attribution tokens can be generated that includes (i) data identifying the software application, (ii) data identifying the respective attribution credit assigned to the entity, and (iii) and an integrity token.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
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
23.
Systems and Methods for Communication Efficient Distributed Mean Estimation
The present disclosure provides systems and methods for communication efficient distributed mean estimation. In particular, aspects of the present disclosure can be implemented by a system in which a number of vectors reside on a number of different clients, and a centralized server device seeks to estimate the mean of such vectors. According to one aspect of the present disclosure, a client computing device can rotate a vector by a random rotation matrix and then subsequently perform probabilistic quantization on the rotated vector. According to another aspect of the present disclosure, subsequent to quantization but prior to transmission, the client computing can encode the quantized vector according to a variable length coding scheme (e.g., by computing variable length codes).
A method for decaying speech processing includes receiving, at a voice-enabled device, an indication of a microphone trigger event indicating a possible interaction with the device through speech where the device has a microphone that, when open, is configured to capture speech for speech recognition. In response to receiving the indication of the microphone trigger event, the method also includes instructing the microphone to open or remain open for a duration window to capture an audio stream in an environment of the device and providing the audio stream captured by the open microphone to a speech recognition system. During the duration window, the method further includes decaying a level of the speech recognition processing based on a function of the duration window and instructing the speech recognition system to use the decayed level of speech recognition processing over the audio stream captured by the open microphone.
Systems and methods of the present disclosure are directed to automatic control of mute controllers for participants in videoconferences. For example, a method for automatically controlling a mute control associated with a participant during a videoconference includes obtaining communication data associated with the participant participating in the videoconference. The communication data includes audio signals associated with the participant and/or visual signals associated with the participant. The method includes processing the communication data by a gate control model to generate an output. The output is indicative of an intent of the participant to communicate with other participants of the videoconference. The method includes generating a noise gate status based at least in part on the output associated with the gate control model. The method includes automatically controlling the mute control of the participant based at least in part on the noise gate status.
G10L 25/57 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for processing of video signals
H04N 5/232 - Devices for controlling television cameras, e.g. remote control
In a computer system where multiple client computers share use of a storage device, submission priorities for input-output commands from the computers are adjusted when one or more of the client computers exceeds its quota of usage. The submission priorities for the client computers which are exceeding their quota are reduced relative to submission priorities for client computers which are not exceeding their quotas. This allows up to full usage of the processing capacity of the storage device, while minimizing effects such as unfairness and latency experienced by the other client computers.
Methods, systems and apparatus for implementing a quantum gate on a quantum system comprising a second qubit coupled to a first qubit and a third qubit. In one aspect, a method includes evolving a state of the quantum system for a predetermined time, wherein during evolving: the ground and first excited state of the second qubit are separated by a first energy gap ω; the first and second excited state of the second qubit are separated by a second energy gap equal to a first multiple of ω minus qubit anharmoniticity η; the ground and first excited state of the first qubit and third qubit are separated by a third energy gap equal to ω−η; and the first and second excited state of the first qubit and third qubit are separated by a fourth energy gap equal to the first multiple of the ω minus a second multiple of η.
A first image is rendered on an active area of an OLED display panel with a first refresh rate that is below a threshold refresh rate and, subsequent to rendering the first image with the first refresh rate, a second image that is different from the first image is rendered on the active area, where the rendering of the second image includes rendering a number of initial frames of the second image at a second refresh rate that is at or above the threshold refresh rate. After rendering the number of initial frames of the second image at the second refresh rate, additional frames of the second image on the active area are rendered with the first refresh rate, where the number of initial frames is greater than 1.
G09G 3/3233 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED] organic, e.g. using organic light-emitting diodes [OLED] using an active matrix with pixel circuitry controlling the current through the light-emitting element
29.
Socket To Support High Performance Multi-die ASICs
A microelectronic system may include a microelectronic component having electrically conductive elements exposed at a first surface thereof, a socket mounted to a first surface of the microelectronic component and including a substrate embedded therein, one or more microelectronic elements each having active semiconductor devices therein and each having element contacts exposed at a front face thereof, and a plurality of socket pins mounted to and extending above the substrate, the socket pins being ground shielded coaxial socket pins. The one or more microelectronic elements may be disposed at least partially within a recess defined within the socket. The socket may have a land grid array comprising top surfaces of the plurality of the socket pins or electrically conductive pads mounted to corresponding ones of the socket pins, and the element contacts of the one or more microelectronic elements may be pressed into contact with the land grid array.
H01L 25/10 - Assemblies consisting of a plurality of individual semiconductor or other solid state devices all the devices being of a type provided for in the same subgroup of groups , or in a single subclass of , , e.g. assemblies of rectifier diodes the devices having separate containers
H01L 23/538 - Arrangements for conducting electric current within the device in operation from one component to another the interconnection structure between a plurality of semiconductor chips being formed on, or in, insulating substrates
H01L 25/00 - Assemblies consisting of a plurality of individual semiconductor or other solid state devices
30.
METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION
Methods, systems, and media for providing automated assistance during a video recording session are provided. In some embodiments, the method comprises: receiving, at a first user device, user input to initiate a video recording session, wherein a video recording session comprises a plurality of segments of recorded video, wherein at least one segment of recorded video is non-contiguous with a second segment of recorded video; executing a machine learning model on the first user device that monitors the video recording session and that analyzes audio content and video content of the recorded video to determine segment metadata and segment quality metrics for each segment of the plurality of segments of recorded video; associating each segment of the plurality of segments of recorded video with the segment metadata and the segment quality metrics determined using the machine learning model, wherein the segment metadata and the segment quality metrics for each segment of the plurality of segments is presented when editing the recorded video from the video recording session; receiving a remote input during the video recording session, wherein the remote input comprises at least one of a voice command, a gesture command, and a remote control command; determining, using the machine learning model executing on the first user device, a video recording command associated with the remote input; and causing the video recording session to execute an action associated with the video recording command.
Dynamically adapting provision of notification output to reduce distractions and/or to mitigate usage of computational resources. In some implementations, an automated assistant application predicts a level of engagement for a user and determines, based on the predicted level of engagement (and optionally future predicted level(s) of engagement), provisioning (e.g., whether, when, and/or how) of output that is based on a received notification. For example, the automated assistant application can, based on predicted level(s) of engagement, determine whether to provide any output based on a received notification, determine whether to suppress provision of output that is based on the received notification (e.g., until a later time with a decreased predicted level of engagement), determine whether to provide output that is a condensed version of the received notification, determine whether to automatically respond to the notification, and/or select an output modality for providing output that is based on the received notification.
H04W 68/02 - Arrangements for increasing efficiency of notification or paging channel
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
H04W 4/46 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for vehicle-to-vehicle communication [V2V]
A system and method for updating and correcting facts that receives proposed values for facts from users and determines a correctness score which is used to automatically accept or reject the proposed values.
Methods and systems are provided for ranking search results and generating a presentation. In some implementations, a search system generates a presentation based on a search query. In some implementations, a search system ranks search results based on data stored in a knowledge graph. In some implementations, a search system identifies a modifying concept such as a superlative in a received search query, and determines ranking properties based on the modifying concept.
Systems and methods are provided for multimodal input collection. More particularly, the present disclosure relates to efficient and intuitive multimodal input collection for mobile devices. As an example, a mobile computing system (e.g., a smartphone, a tablet, a wearable device, etc.) can display a lock screen interface at a display device associated with the mobile computing system (e.g., an initial interface that requests interaction and/or authentication from the user before granting access to applications, etc.).
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
The technology is generally directed to a method of mapping fiber networks. The fiber networks may include a plurality of cables, such as fiber optic cables. The cable may be divided into segments. Each cable has a first end segment and a second end segment, each with a known location. When there is a perturbation that causes the cable to vibrate, each segment of the cable may experience an associated strain at a different time. Based on the known location of the perturbation sources, the known location of the end segments, and the relative time that the perturbation is detected at each cable segment, the location of each segment and, therefore, the entire cable may be determined.
A computerized method features operations conducted by a security analyzer device to process incoming information to ascertain a presence of cybersecurity threats based on a top threat list provided to the security analyzer device. The top threat list includes a plurality of cybersecurity threats prioritized for an enterprise that is subscribing to a threat management system and protected by the security analyzer device. The computerized method further conducts analytics of incoming information to determine a level of correlation between at least a portion of the incoming information and any of the plurality of cybersecurity threats within the top threat lists content, and upon determining the level of correlation between the portion of the incoming information and a cybersecurity threat of the plurality of cybersecurity threats exceeding a first threshold, may conduct operations to neutralize or mitigate the cybersecurity threat.
A threat management system features a recommendation engine and an action engine. The recommendation engine is configured to (i) conduct analytics on content from the threat catalog and content from the enterprise profile to generate results that identify a plurality of threats directed to the enterprise and (ii) generate a top threat list based on the analytic results. The action engine is communicatively coupled to the recommendation engine. The action engine is configured to receive the top threat list and generate a plurality of actions corresponding to each threat of the top threat list, where each action of the plurality of actions includes information directed to operations to mitigate or neutralize a risk associated with a threat of the top threat list.
Image coding using guided machine learning restoration may include obtaining reconstructed frame data by decoding, obtaining a restored frame by restoring the reconstructed frame, and outputting the restored frame. Obtaining the restored frame may include obtaining a reconstructed block, obtaining guide parameter values, obtaining a restored block, and including the restored block in the restored frame. Obtaining the restored block may include inputting the reconstructed block to an input layer of a trained guided convolutional neural network, wherein the neural network is constrained such that an output layer has a defined cardinality of channels, obtaining, from the output layer, neural network output channel predictions, obtaining a guided neural network prediction as a linear combination of the guide parameter values and the neural network output channel predictions, and generating the restored block using the guided neural network prediction.
H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
H04N 19/30 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
A voltage supervisor (VS) or voltage sensing circuitry or architecture that can detect fast voltage transients. To detect fast voltage transients, a dedicated differential pair is routed between a point of load, such as a die or other chip, processor, etc., and the circuitry of the voltage supervisor. By connecting the differential pair at the point of load, fast voltage transients may be detected at the load level (e.g., at the point of load) and thereafter used to enable, disable, and/or restart an electronic device, such as a die, chip, processor, or other electronic component or system.
The present disclosure provides for dynamically deactivating rectifiers to force remaining rectifiers to operate at or near their peak power efficiency. Rectifiers, for example rectifiers on racks of a data center, may operate according to an efficiency curve, based on its current load. Instead of distributing an AC power load across more rectifiers that operate sub-optimally on their efficiency curve, aspects of the disclosure provide for automatically deactivating some rectifiers by lowering voltage set-points. As power load to a rack decreases, the voltage of the current to a rectifier with a reduced voltage set-point falls below the set-point and turns off. Power is automatically redistributed to the remaining active rectifiers. The redistribution increases the power load onto the remaining rectifiers, allowing the rectifiers to perform more efficiently in converting AC power to DC power.
A method includes training a first differentially private (DP) model using a private training set, the private training set including a plurality of training samples, the first DP model satisfying a differential privacy budget, the differential privacy budget defining an amount of information about individual training samples of the private training set that may be revealed by the first DP model. The method also includes, while training the first DP model, generating a plurality of intermediate checkpoints, each intermediate checkpoint of the plurality of intermediate checkpoints representing a different intermediate state of the first DP model, each of the intermediate checkpoints satisfying the same differential privacy budget. The method further includes determining an aggregate of the first DP model and the plurality of intermediate checkpoints, and determining, using the aggregate, a second DP model, the second DP model satisfying the same differential privacy budget.
The present disclosure provides an assay device for determining a concentration of hemoglobin in a sample. The device includes a separation membrane containing a cell lysing reagent that is present on the separation membrane in an amount greater than 200 micrograms/square centimeter to less than 675 micrograms/square centimeter. Further, the device includes a downstream detection membrane configured to elicit a quantifiable response in the presence of hemoglobin. The detection membrane includes an asymmetric membrane having a first plurality of pores located towards an upstream side of the detection membrane and a second plurality of pores located towards a downstream side of the detection membrane. The first plurality of pores are larger than the second plurality of pores. The present disclosure also provides methods for using a vertical flow assay device to lyse the red blood cells in the sample to quantify the level of hemoglobin present via reflectance spectroscopy.
Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
Aspects of the disclosure are directed to automatically determining floor planning in chips, which factors in memory macro alignment. A deep reinforcement learning (RL) agent can be trained to determine optimal placements for the memory macros, where memory macro alignment can be included as a regularization cost to be added to the placement objective as a RL reward. Tradeoffs between the placement objective and alignment of macros can be controlled by a tunable alignment parameter.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06F 30/392 - Floor-planning or layout, e.g. partitioning or placement
45.
System And Method For Exercise Type Recognition Using Wearables
The present disclosure provides for using multiple inertial measurement units (IMUs) to recognize particular user activity, such as particular types of exercises and repetitions of such exercises. The IMUs may be located in consumer products, such as smartwatches and earbuds. Each IMU may include an accelerometer and a gyroscope, each with three axes of measurement, for a total of 12 raw measurement streams. A training image includes a plurality of subplots or tiles, each depicting a separate data stream. The training image is then used to train a machine learning model to recognize IMU data as corresponding to a particular type of exercise.
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
G06V 10/778 - Active pattern-learning, e.g. online learning of image or video features
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
This document describes methods, devices, systems, and means for determining a joint-codebook for wireless communication with a user equipment, UE, by a base station in an active coordination set, ACS, in which a base station receives capability information from one or more other base stations in the ACS. The base station generates a joint-codebook for the ACS based on the received capability information and sends the joint-codebook to the one or more other base stations in the ACS. The base station and the other base stations in the ACS jointly-transmit the joint-codebook to the UE and receive Precoding Matrix Indicator, PMI, feedback from the UE. The base station and the other base stations in the ACS jointly-process downlink data for the UE using the PMI feedback and the joint-codebook and jointly-transmit the downlink data to the UE.
H04B 7/0456 - Selection of precoding matrices or codebooks, e.g. using matrices for antenna weighting
H04B 7/06 - Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04L 25/03 - Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
47.
Mesh Network Range Extension and Reliability Enhancement Through Lower Order MIMO Spatial Streams
This document describes improvements in range and reliability for wireless mesh networks implementing IEEE 802.11 networking technologies. Reducing the number of spatial streams, N, to a lower value at middle and far distance ranges using an optimized rate control algorithm, preemptively trades off a lower throughput limit for a higher link budget. This higher link budget provides longer range and higher RF link reliability by using an N×N spatial diversity of MIMO RF channels for maximizing link budget instead of network throughput.
The present disclosure contemplates a method for synchronizing a large number of generators on an AC bus by synchronizing each generator's output to a nominal output that is generated from a common external source. For example, each generator, using a high speed communication signal, can synchronize to a nominal output provided by a master generator, or centralized command module. In another example, each generator can generate its own nominal output referenced to a common external time signal, such as a global positioning system (GPS) signal, or other reference. By synchronizing independently of bus voltage and frequency, the generators are able to synchronize in parallel, instead of serially.
This document describes apparatuses and techniques for providing a flexible connector between a secondary circuit board and a main logic board with a permeability shield to increase impedance of the flexible connector to reduce antenna loss from an antenna via the flexible connector to the main logic board. For example, an apparatus includes a secondary circuit board supporting one or more control pads and an antenna. A flexible connector includes a plurality of conductive traces configured to electrically couple the one or more control pads of the secondary circuit board to a coupling on a main logic board. A permeability shield is configured to be disposed along one or more portions of the flexible connector. The permeability shield is configured to increase impedance of the flexible connector to reduce antenna loss of the antenna via the control pads and the flexible connector to the main logic board.
Implementations relate to processing media content, and/or associated metadata, to classify the media content into a first category, of a plurality of predefined categories. Versions of those implementations further relate to extracting target content from the media content; generating, based on the extracted target content, an action that corresponds to an application; and generating, based on the generated action, a selectable suggestion including a textual portion that describes the action. Some of those versions further relate to causing the selectable suggestion to be displayed at a display of a client device, along with rendering of the media content. The selectable suggestion, when selected, causes the application to perform the action. The target content can be extracted based on the first category and can be extracted based on the first category in response to the media content being classified into the first category.
An electronic document associated with users of a collaborative document platform is identified. The electronic document is associated with an approval data structure including entries that correspond to approval requests. A portion of an approval data structure is included within the content of the electronic document for presentation to a first user. A first user updates a first entry of the portion of the approval data structure included within the content of the electronic is detected. The update to the first entry corresponds to a first approval request for a second user to approve a portion of the electronic document. A first notification is transmitted to a second client device associated with the second user. The first notification indicates the first approval request. The approval data structure is updated to include data of the first entry.
Methods, systems, and apparatus for operating a system of qubits. In one aspect, a method includes operating a first qubit from a first plurality of qubits at a first qubit frequency from a first qubit frequency region, and operating a second qubit from the first plurality of qubits at a second qubit frequency from a second first qubit frequency region, the second qubit frequency and the second first qubit frequency region being different to the first qubit frequency and the first qubit frequency region, respectively, wherein the second qubit is diagonal to the first qubit in a two-dimensional grid of qubits.
G06N 10/70 - Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation
G06F 15/80 - Architectures of general purpose stored program computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
The present disclosure provides for automatically detecting errors, such as SDC, in a multi-core computing environment. For example, cores may run in an error detection mode, in which multiple cores repeat the same execution of instructions and the results are compared. Based on the results, it may be determined whether one of the cores is failing.
G06F 12/0842 - Multiuser, multiprocessor or multiprocessing cache systems for multiprocessing or multitasking
G06F 12/0891 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches using clearing, invalidating or resetting means
55.
MANAGING POINT-TO-POINT AND POINT-TO-MULTIPOINT TRANSMISSION
A method in one or more nodes of a radio access network (RAN), for managing multicast and/or broadcast services (MBS) communications, includes transmitting to a user device an MBS radio bearer (MRB) configuration associated with an MRB, implementing a shared packet data convergence protocol (PDCP) entity to transmit first MB S packets to the user device via the MRB and according to the MRB configuration and a first lower layer configuration, and after transmitting the first MB S packets, implementing the shared PDCP entity to transmit second MB S packets to the user device via the MRB and according to a second lower layer configuration and the MRB configuration. The first and second lower layer configurations being different ones of a multicast configuration and a unicast configuration.
H04W 4/06 - Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
H04W 72/30 - Resource management for broadcast services
For a coding block of an image, a luma prediction block is generated, a luma residual block is generated, a quantized luma block is generated after transforming the luma residual block using a luma transform type, and the quantized luma block is entropy encoded. A chroma prediction block is generated, a chroma residual block is generated, an initial chroma transform type for the chroma residual block is determined as the luma transform type, a quantized chroma block is generated using the chroma residual block transformed by a final chroma transform type, and the quantized chroma block is entropy encoded. When the initial chroma transform type is other than a default transform type, the final chroma transform type is the initial chroma transform type or the default transform type, and quantized coefficients of the quantized chroma block depend upon quantized coefficients of the quantized luma block.
H04N 19/12 - Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
H04N 19/103 - Selection of coding mode or of prediction mode
H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
H04N 19/13 - Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
57.
Calibrating Input Display Data for Seamless Transitions in Multiple Display Refresh Rates
A method for calibrating input display data for multiple display refresh rates comprises measuring (1210) an optical property of a display panel for an input gray level at a first refresh rate, measuring (1220) the optical property for a plurality of candidate gray levels at a second refresh rate, selecting (1230), based on the measured optical properties of the display panel, a corresponding gray level for the input gray level, wherein the corresponding gray level is selected from the plurality of candidate gray levels and storing (1240), at the device, the corresponding gray level for the input gray level, wherein subsequent to the storing, the device is configured to adjust input display data using the corresponding gray level for the input gray level when the display panel is transitioning from the first refresh rate to the second refresh rate.
G09G 3/20 - Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix
Techniques are described herein to improve onboarding of third party entity data with existing knowledge graphs. In various implementations, a computing system associated with an existing knowledge graph may receive a request from a third party to onboard, with the existing knowledge graph, a plurality of entities. Each entity may have associated identifier(s) and relationship(s) with other entities of the plurality of entities. First third party entity data that describes the plurality of entities and associated identifiers/relationships may be received from the third party. The first third entity party data may be analyzed to identify semantic fingerprint(s) matching respective subsets of the entities. Results related to the analyzing may be determined. The results may include a statistic representing success or failure of applying rule(s) to a respective subset of entities that match a given semantic fingerprint. Remedial action(s) may be triggered based on the failure statistic.
The systems and methods of the present disclosure generally relate to a data processing system that can identify and surface alternative requests when presented with ambiguous, unclear, or other requests to which a data processing system may not be able to respond. The data processing system can improve the efficiency of network transmissions to reduce network bandwidth usage and processor utilization by selecting alternative requests that are responsive to the intent of the original request.
A method of reducing computer resource requirements for display of additional content on a client device configured for playback of media content can include determining, by an application installed on a client device, that display of additional content has been triggered from a first context of the application, identifying, by the application, a context identifier corresponding to the first context, determining, by a content manager installed on the client device, that an item of additional content associated with the context identifier is stored in a cache of the client device, identifying, by the content manager, an elapsed display time associated with the item of content, and initiating, by the application, display of the item of additional content based on the elapsed display time.
H04N 21/4722 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
G06F 9/48 - Program initiating; Program switching, e.g. by interrupt
H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/658 - Transmission by the client directed to the server
61.
SYSTEMS AND METHODS FOR PRESENTING SCROLLING ONLINE CONTENT ON MOBILE DEVICES
A computer-implemented method for providing dynamically scrolling content within a vertically scrolling online publication is implemented by a content serving computing device in communication with a memory. The method includes retrieving a dynamically scrolling content item, receiving a set of display information related to a user computing device, and serving the dynamically scrolling content item within a slot of a vertically scrolling online publication presented at the user computing device, wherein the dynamically scrolling content item is served based partially on the set of display information, wherein the dynamically scrolling content item is configured to scroll horizontally in response to a first haptic input received by a user of the user computing device.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for allocating computing resources. In one aspect, a method includes receiving intent data specifying one or more computing services to be hosted by a computing network, requested characteristics of computing resources for use in hosting the computing service, and a priority value for each requested characteristic. A budget constraint is identified for each computing service. Available resources data is identified that specifies a set of available computing resources. A resource allocation problem for allocating computing resources for the one or more computing resources is generated based on the intent data, each budget constraint, and the available resources data. At least a portion of the set of computing resources is allocated for the one or more computing services based on results of evaluating the resource allocation problem to meet a particular resource allocation objective.
The present disclosure includes systems, methods, and computer-readable mediums for discovering capabilities of a hardware (HW) accelerator card. A processor may communicate a request for a listing of acceleration services to a HW accelerator card connected to the processor via the communication interface. The HW accelerator card may retrieve the listing from memory and provide a response to the processor that includes a listing of the HW acceleration services provided by the HW accelerator card.
This document describes techniques directed to active thermal-control of a floodlight and associated floodlights. As described, an example floodlight includes a first heat-transfer subsystem that uses a fully enclosed heat sink to transfer heat from an array of LEDs to a first housing component of the floodlight. The floodlight further includes a second heat-transfer subsystem to transfer heat from one or more PSUs to a second housing component of the floodlight. Described techniques include using thermistors located throughout the floodlight to actively monitor a temperature profile within the floodlight and, if one or more operating-temperature thresholds are violated, reducing power consumption within the floodlight.
Methods, systems, and media for presenting search results are provided. In accordance with some embodiments, the method comprises: receiving text corresponding to a search query; determining whether a content rating score associated with the search query is below a predetermined threshold, wherein the score is calculated by: identifying a first plurality of search results retrieved using the search query, wherein each search result is associated with one of a plurality of content ratings classes; and calculating the content rating score that is a proportion of search results associated with at least one of the content ratings classes among the first plurality of search results; in response to determining that the content rating score is below the predetermined threshold, identifying a second plurality of search results to be presented based on the search query; and causing the second plurality of search results to be presented.
In one embodiment, a system includes first host machines implementing a public-cloud computing environment, wherein at least one of the first host machines includes a resource manager that provides a public-cloud resource interface through which one or more public-cloud clients interact with one or more virtual machines, and second host machines implementing a private-cloud computing environment, wherein at least one of the second host machines includes one or more private-cloud virtual machines, wherein at least one of the first host machines further includes a private-cloud VM resource provider through which the resource manager interacts with the private-cloud virtual machines, wherein the VM resource provider translates requests to perform virtual machine operations from a public-cloud-resource interface to a private-cloud virtual machine interface, and the private-cloud virtual machines perform the requested virtual machine operations in response to receiving the translated requests from the VM resource provider.
The present disclosure relates to generating and adjusting translated audio from a video-based source. The method includes receiving video data and corresponding audio data in a first language; generating a translated preliminary transcript in a second language; aligning timing windows of portions of the translated preliminary transcript with corresponding segments of the audio data; determining portions of the translated aligned transcript in the second language that exceed a timing window range of the corresponding segments of the audio data in the first language to generate flagged transcript portions; transmitting the original transcript, the translated aligned transcript, and the first speech dub to a first device, the generated flagged transcript portions included in the original transcript and the translated aligned transcript; receiving, from the first device, a modified original transcript; and generating, based on the modified original transcript, a second speech dub in the second language.
G10L 13/02 - Methods for producing synthetic speech; Speech synthesisers
G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
G10L 13/08 - Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination
A reading assistant tool implemented in a browser application facilitates the presentation of text content in a manner and format that addresses the reading and/or comprehension capabilities of individual users, while maintaining the context of the original content. The reading assistant tool outputs a reader view pane alongside a main content pane. Original content is presented in the main content pane, and simplified/reformatted content corresponding to text content extracted from the original content, is presented in the reader view pane. Scrolling of the extracted text content in the reader view pane is synchronized with scrolling of the original content in the main content pane, so that context is maintained as the user moves through the content. The concurrent presentation of the original content and the extracted text content allows the user to more easily consume the extracted text content, while also maintaining context as originally intended.
An improved nanoimprint lithography process is presented in which the height is controlled by the thickness of a residual layer of resin leftover after ultraviolet curing and releasing of a nanoimprint mold from a resin layer. Moreover, the thickness of the residual layer may be controlled by a fill factor of either a nanoimprint mold that transfers its pattern to a resin layer disposed on a substrate, or by droplets of resin in the resin layer.
G03F 7/00 - Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printed surfaces; Materials therefor, e.g. comprising photoresists; Apparatus specially adapted therefor
F21V 8/00 - Use of light guides, e.g. fibre optic devices, in lighting devices or systems
Implementations relate to restricting access of an application to audio data content captured subsequent to rendering content to the user at the request of the application. An application can generate content that is to be rendered to a user with an additional request to receive audio data content from audio data captured immediately after rendering the content. The content can be processed, using a trained machine learning model that generates, as output, an indication of likelihood that providing audio data content after rendering the content from the application was improper. In instances the application improperly requested audio data content, the application can be restricted from being provided the audio data content and/or subsequent audio data content.
A computer-implemented method includes setting, by a participant computing device participating in a videoconference, a maximum quantization parameter (QP) value for encoding a predetermined type of video frame to a value which is the lesser of: a first QP value determined based on an average value of QP values used to encode video frames before the predetermined type of video frame, or a second QP value corresponding to an application-specified maximum QP value. The computer-implemented method further includes encoding the predetermined type of video frame using the set maximum QP value.
H04N 19/164 - Feedback from the receiver or from the transmission channel
H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
72.
Automated Security Rule Updates Based On Alert Feedback
Aspects of the disclosure are directed to systems, method, and computer-readable mediums for reducing the number of false positive alerts generated by a SIEM system by adjusting the set of rules the SIEM system uses to analyze attributes of the network traffic and/or system activities based on feedback from a SOAR system. Alert feedback may be received for a set of alerts generated in response to attributes triggering one or more rules. The alert feedback may indicate, for each alert of the set of alerts, whether the alert was a true positive alert or false positive alert. One or more conditions of the at least one rule may be adjusted based on the feedback.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating and decoding watermarks. An image and a data item is received. The encoder generates a first watermark and then a second watermark is generated using multiple first watermarks. The second watermark is used to watermark the image by overlaying the second watermark over the image. To decode the watermark, presence of a watermark is determined on a portion of an image. A distortion model determines distortions in the image and modifies the portion of the image based on the predicted distortions. The modified portion is decoded using the decoder to obtain a predicted first data item that is further used to validate the watermark based on the first data item.
A machine-learned sharing system and methods are provided for sharing content with users while masking sensitive information. The system receives a content stream for display to one or more users, converts the content stream into image data representative of at least a portion of the content stream, inputs the image data into a machine-learned model configured for masking sensitive content within shared content, receives from the machine-learned model a first mask indicative of a region within the first content stream that contains sensitive content, and renders a display of the content stream that masks the sensitive content based at least in part on the first mask indicative of the region of the first content stream having the sensitive content.
A method includes detecting a user interaction with a particular region of a graphical user interface (GUI), and determining that the user interaction will be consumed by a particular user interface (UI) component that is overlaid by a plurality of UI components configured to allow the user interaction to pass through to the particular UI component. The method also includes, based on determining that the user interaction will be consumed by the particular UI component, determining a cumulative opacity of the plurality of UI components at the particular region of the GUI. The method further includes determining that the cumulative opacity exceeds a threshold opacity and, based on determining that the cumulative opacity exceeds the threshold opacity, blocking the particular UI component from consuming the user interaction.
Various arrangements for reducing auditory spatial aliasing for a user are detailed herein. A first delay filter may be set that delays output of a first same audio signal by a first duration to a speaker of a first set of multiple speakers of a device compared to a second speaker of the first set of multiple speakers. A second delay filter may also be set that delays output of a second same audio signal by a second duration to a speaker of a second set of multiple speakers of the device compared to a second speaker of the second set of multiple speakers. The first same audio signal can be output using the first set of multiple speakers and the second same audio signal can be output using the second set of multiple speakers.
A mapping system allows a user to interact with any location on a digital map and present the user with location related information associated with the selected location. The location related information may be in the form or a card, pop-up, image, or other graphic and may be displayed on the map at or near the selected location, around the map, etc. The displayed location related information may include predetermined or pre-stored data about the location or may include location related information collected and generated on the fly in response to the user interaction with the digital map. The displayed location related information may be displayed in the same graphical format on the digital map regardless of whether location related information is predetermined information about the location that already exists or information that is collected and generated on the fly in response to the user interaction.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G01C 21/00 - Navigation; Navigational instruments not provided for in groups
G09B 29/00 - Maps; Plans; Charts; Diagrams, e.g. route diagrams
H04W 4/029 - Location-based management or tracking services
78.
DYNAMIC DISPLAY ALIGNMENT WITH LEFT AND RIGHT IMAGE OVERLAY
Improved techniques include providing a coupling element on a nose bridge that can overlay left and right images output from respective outcouplers and send the overlay image to a sensor. Based on at least a portion of the overlay image, the sensor may cause the left, right, or both field of views to move until the left and right images are aligned.
Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
Methods, systems and apparatus, including computer programs encoded on computer storage medium, for predicting a likelihood of a future computer memory failure. In one aspect training data inputs are obtained, where each training data input includes correctable memory error data that describes correctable errors that occurred in a computer memory and data indicating whether the correctable errors produced a failure of the computer memory. For each training data input, image representations of the correctable memory error data included in the training data input are generated. The image representations are processed using a machine learning model to output an estimated likelihood of a future failure of the computer memory. A difference between the estimated likelihood of the future failure of the computer memory and the data indicating whether the correctable errors produced a failure of the computer memory is computed. Values of model parameters are updated using the computed difference.
An interactive multi-view module identifies a plurality of media items associated with an event. Each of the plurality of media items is created by capturing the event. The interactive multi-view module synchronizes the audio portions of the media items according to a common reference timeline. The interactive multi-view module provides the media items for presentation in an interactive multi-view player interface based on the synchronized audio portions and multiple relative geographic locations. The interactive multi-view player interface allows a user of a plurality of users to switch between the plurality of media items, and indicates a video density indicating a quantity of media items available at a given point in time and a popularity indicator of one of the media items at the given point in time. The popularity indicator is determined using factors comprising a number of viewers of the media items at the given point in time.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
H04N 21/242 - Synchronization processes, e.g. processing of PCR [Program Clock References]
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/8549 - Creating video summaries, e.g. movie trailer
83.
Fully Homomorphic Encryption Transpiler for High-level Languages
A method includes obtaining first code in a high-level programming language. The first code represents a first function for performing one or more operations on plaintext. The method also includes converting the first code into an intermediate representation comprising a list of nodes. Each node of the list of nodes includes one or more logical operations. The method also includes converting the intermediate representation into a Boolean intermediate representation that includes a plurality of single-bit logical operations. The method also includes transpiling the Boolean intermediate representation into second code in the high-level programming language. The second code represents a second function for performing, using fully homomorphic encryption (FHE), the one or more operations on ciphertext.
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
84.
Weighted Alternating Paths in Graphs for Quantum Computing
A computer-implemented method for expanding a set of matched nodes in a partially-matched graph can include obtaining, by a computing system, a partially-matched graph having a matching set, the partially-matched graph including one or more edges and a plurality of nodes, the one or more edges having a matching label. The method can include obtaining at least two unmatched nodes. The method can include determining an alternating path from a first unmatched node of the at least two unmatched nodes to a second unmatched node of the at least two unmatched nodes, the alternating path including at least one edge of the one or more edges. The method can include inverting the matching label of the at least one edge of the alternating path such that the at least two unmatched nodes are included in the matching set of the partially-matched graph.
This disclosure relates to generating telecommunication network measurements. In one aspect, a method includes presenting, by a client device, a digital component that, when interacted with, initiates a call by the client device to a phone number specified by the digital component. A trusted program stores, in a presentation event data structure, a presentation event data element specifying the phone number and resource locator for a reporting system to which reports for the digital component are sent. The trusted program detects a phone call by the client device to a given phone number. The given phone number is compared to one or more presentation event data elements stored in the presentation event data structure. A determination is made that the given phone number matches the phone number specified by the digital component. In response, an event report is transmitted to the reporting system.
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
Implementations relate to an automated assistant that can respond to communications received via a third party application and/or other third party communication modality. The automated assistant can determine that the user is participating in multiple different conversations via multiple different third party communication services. In some implementations, conversations can be processed to identify particular features of the conversations. When the automated assistant is invoked to provide input to a conversation, the automated assistant can compare the input to the identified conversation features in order to select the particular conversation that is most relevant to the input. In this way, the automated assistant can assist with any of multiple disparate conversations that are each occurring via a different third party application.
This document describes a thermal-control system that is integrated into a security camera. The thermal-control system includes a combination of heatsinks and thermal interface materials with high thermal conductivities. The thermal-control system may transfer and spread energy from a high thermal-loading condition effectuated upon the security camera to concurrently maintain temperatures of multiple thermal zones on or within the security camera at or below prescribed temperature thresholds.
G03B 17/55 - APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR - Details of cameras or camera bodies; Accessories therefor with provision for heating or cooling, e.g. in aircraft
G08B 13/196 - Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
H04N 23/52 - Elements optimising image sensor operation, e.g. for electromagnetic interference [EMI] protection or temperature control by heat transfer or cooling elements
H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating
88.
INVOKING AN AUTOMATED ASSISTANT TO PERFORM MULTIPLE TASKS THROUGH AN INDIVIDUAL COMMAND
Methods, apparatus, systems, and computer-readable media for engaging an automated assistant to perform multiple tasks through a multitask command. The multitask command can be a command that, when provided by a user, causes the automated assistant to invoke multiple different agent modules for performing tasks to complete the multitask command. During execution of the multitask command, a user can provide input that can be used by one or more agent modules to perform their respective tasks. Furthermore, feedback from one or more agent modules can be used by the automated assistant to dynamically alter tasks in order to more effectively use resources available during completion of the multitask command.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that identify and issue search queries expected to be issued in the future. A set of search queries that have been issued by multiple user devices can be obtained. For each query instance, contextual data can be obtained. A first query and its contextual data can be input to a model that outputs the query's likelihood of being issued in the future. The model can be trained using contextual data for training queries and a corresponding labels for the training queries. The learning model outputs the first query's likelihood of being issued in future, and this query is stored as a repeatable query if the likelihood satisfying a repeatability threshold. Subsequently, a stored repeatable query is issued upon a selection of a user selectable interface component and the search engine provides search results for the query.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
G06F 1/16 - Constructional details or arrangements
G06F 3/023 - Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
G06F 3/04883 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
A method includes identifying a middlebox receiving network flow and communicating with one or more backend virtual machines. The method also includes receiving flow statistics corresponding to the network flow of the middlebox and determining whether the flow statistics satisfy an offload rule. The offload rule indicates when to migrate the network flow from the middlebox to an end host. When the flow statistics satisfy the offload rule, the method also includes migrating the network flow from the middlebox to the end host.
Methods and devices are provided where a wearable device may receive sensor data and activate a recipe building mode of the wearable device when the sensor data satisfies a commencement condition. An image sensor of the wearable device may capture images of a physical environment. A recognition engine of the wearable device may identify ingredients detected in the images, determine an amount of the ingredients, identify utensils detected in the images, track actions of a user based on the images, and determine the name of a recipe, in response to terminating the capture of the images. The wearable device may store the recipe, the recipe including the name of the recipe, the ingredients, the amount of ingredients, the utensils, the actions of the user, and the one or more images. The recipe may be annotated with captions and output on a display of the wearable device.
Techniques are described herein for generating synthetic paired source code snippets that are semantically equivalent but syntactically distinct. In various implementations, few shot learning may be performed to prompt a large language model, based on demonstration source code snippet(s) in syntactically constrained pseudocode, to generate additional source code snippets in the syntactically constrained pseudocode. Based on additional source code snippets in additional programming language(s), the large language model may be used to generate more training source code snippets in the syntactically constrained pseudocode. The training source code snippets in the syntactically constrained pseudocode may be programmatically translated to generate synthetic training pairs of semantically equivalent source code snippets. Each synthetic training pair of the plurality of synthetic training pairs may include training snippets in first and second programming languages, and may be usable to train a machine learning translation model to translate between the first and second programming languages.
Aspects of the disclosure are directed to protecting non-public data used in computer-based trials. Reports can be generated based on the computer-based trials that contain performance metrics or other data points to evaluate the computer-based trials. The reports can be viewed by data providers and/or trial providers without divulging the non-public data. Data providers can provide the non-public data for running the computer-based trials. Trial providers can run the computer-based trials. A cloud provider can provide infrastructure for storing source code for the computer-based trials, the non-public data, and reports generated from the computer-based trials. The cloud provider can also provide infrastructure for executing the computer-based trials and generating the reports from the computer-based trials.
A computer-implemented method includes setting, by a computing device, a maximum quantization parameter (QP) value for encoding an input video frame to a value which is the maximum of: a first QP value corresponding to a first proportion of an application-specified maximum QP value, or a second QP value determined based on a value which is the minimum of: a third QP value determined based on an average value of QP values used to encode a plurality of video frames before the input video frame, or a fourth QP value corresponding to a second proportion of the application-specified maximum QP value. The computer-implemented method further includes using the set maximum QP value as a quality bound for encoding the input video frame.
H04N 19/30 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
96.
Chat View Modification Based on User Identification or User Movement
According an embodiment, a computing device can: identify, in a chat view associated with a video chat session, a first authorized participant and a second authorized participant of the video chat session; render, in the chat view, first visual data indicative of the first authorized participant and second visual data indicative of the second authorized participant based at least in part on identification of the first authorized participant and the second authorized participant, respectively; define, in the chat view, a chat zone indicative of a reference location of the first authorized participant; determine that the first authorized participant moved outside the chat zone; and/or conceal, in the chat view, the first visual data indicative of the first authorized participant based at least in part on determination that the first authorized participant moved outside the chat zone.
An image is rendered based a neural radiance field (NeRF) volumetric representation of a scene, where the NeRF representation is based on captured frames of video data, each frame including a color image, a widefield IR image, and a plurality of depth IR images of the scene. Each depth IR image is captured when the scene is illuminated by a different pattern of points of IR light, and the illumination by the patterns occurs at different times. The NeRF representation provides a mapping between positions and viewing directions to a color and optical density at each position in the scene, where the color and optical density at each position enables a viewing of the scene from a new perspective, and the NeRF representation provides a mapping between positions and viewing directions to IR values for each of the different patterns of points of IR light from the new perspective.
G06T 7/90 - Determination of colour characteristics
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
H04N 13/279 - Image signal generators from 3D object models, e.g. computer-generated stereoscopic image signals the virtual viewpoint locations being selected by the viewers or determined by tracking
H04N 13/344 - Displays for viewing with the aid of special glasses or head-mounted displays [HMD] with head-mounted left-right displays
H04N 13/398 - Synchronisation thereof; Control thereof
H04N 23/11 - Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths for generating image signals from visible and infrared light wavelengths
98.
SYSTEMS AND METHODS FOR TRAINING LANGUAGE MODELS TO REASON OVER TABLES
Systems and methods for pre-training and fine-tuning of neural-network-based language models to reason directly over tables without generating logical forms. In some examples, a language model can be pre-trained using masked-language modeling tasks synthetically generated from tables pulled from a knowledge corpus. In some examples, the language model may be further pre-trained using pairs of counterfactual statements generated from those tables, and/or one or more statements that compare selected data from those tables. The language model may then be fine-tuned using examples that include only a question, an answer, and a table, allowing fine-tuning examples to be harvested directly from existing benchmark datasets or synthetically generated.