09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable and recorded computer software using artificial intelligence for causal reasoning, predictive analytics, and machine learning Software as a service (SAAS) services featuring software using artificial intelligence for causal reasoning, predictive analytics, and machine learning; Application service provider (ASP) featuring software using artificial intelligence for causal reasoning, predictive analytics, and machine learning; Providing online non-downloadable software using artificial intelligence for causal reasoning, predictive analytics, and machine learning; Consultancy in the field of artificial intelligence technology; Research in the field of artificial intelligence technology; Artificial intelligence services in the nature of information technology consulting services and computer technology consultancy for integrating data, generating predictive models, and delivering filed optimization solutions
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable and recorded computer software using artificial intelligence for causal reasoning, predictive analytics, and machine learning; Downloadable and recorded computer software using artificial intelligence for collecting, receiving, analyzing, and presenting geological data; Downloadable and recorded computer software using artificial intelligence for collecting, receiving, analyzing, and presenting geotechnical drilling data Software as a service (SAAS) services featuring software using artificial intelligence for causal reasoning, predictive analytics, and machine learning; Software as a service (SAAS) services featuring software using artificial intelligence for collecting, receiving, analyzing, and presenting geological data; Software as a service (SAAS) services featuring software using artificial intelligence for collecting, receiving, analyzing, and presenting geotechnical drilling data
3.
IMPROVED EMPIRICAL FORMULA-BASED ESTIMATION TECHNIQUES BASED ON CORRECTING SITUATIONAL BIAS
An improved empirical formula-based estimation techniques based on correcting situational bias includes generating a map associated with situational bias in one or more empirical formulas. The map corresponds to trajectories of outputs for the one or more empirical formulas, where each trajectory of the trajectories is based on a change to an influencer variable of the one or more empirical formulas. The influencer variable is associated with data that is stable during the change to the influencer variable. The improved empirical formula-based estimation technique further includes identifying a convergence in the trajectories of the outputs for the one or more empirical formulas, where the convergence is based on adaptable boundary conditions and indicative of a compensation for the situational bias in the one or more empirical formulas, and outputting an inference based on the convergence in the trajectories of the outputs for the one or more empirical formulas.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
4.
Empirical formula-based estimation techniques based on correcting situational bias
An improved empirical formula-based estimation techniques based on correcting situational bias includes generating a map associated with situational bias in one or more empirical formulas. The map corresponds to trajectories of outputs for the one or more empirical formulas, where each trajectory of the trajectories is based on a change to an influencer variable of the one or more empirical formulas. The influencer variable is associated with data that is stable during the change to the influencer variable. The improved empirical formula-based estimation technique further includes identifying a convergence in the trajectories of the outputs for the one or more empirical formulas, where the convergence is based on adaptable boundary conditions and indicative of a compensation for the situational bias in the one or more empirical formulas, and outputting an inference based on the convergence in the trajectories of the outputs for the one or more empirical formulas.
Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. The hypotheses may be modified using, for example, auto-hypothesis generation. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.
H04L 67/02 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
6.
Method and apparatus for applying intuition technology to better preserve grains against pest damages in smart silos
Methods and systems for performing pest infestation forewarning are described. In one embodiment, intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of grain storage container-based (e.g., silo-based) environments. The collected core data and ring data are analyzed to determine one or more changing situations of the storage container-based (e.g., silo-based) environments. A system forewarning is generated based on the changing situations that are observed.
In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications. An exemplary personal safety device may include, for example, a processor and a memory to execute instructions; a rechargeable battery to electrically power the personal safety device; a front facing video camera to capture video data of a scene anterior to a front face of the personal safety device; a rear facing video camera to capture video data of a scene posterior to a rear of the personal safety device; an audio capture device to capture audio data from an environment within which the personal safety device is to operate; a trigger to initiate recording of the front facing video camera, the rear facing video camera, and the audio capture device when triggered by an operator of the personal safety device; and a transceiver to transmit the recorded video data from the front and rear cameras and the captured audio data to a remote location over a network. According to another embodiment, a holster operates in conjunction with a body camera to activate audio and video capture and streaming upon removal of a firearm from the holster. Other related embodiments are disclosed.
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04W 4/029 - Location-based management or tracking services
H04N 5/77 - Interface circuits between an apparatus for recording and another apparatus between a recording apparatus and a television camera
Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.
An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.
In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications. An exemplary personal safety device may include, for example, a processor and a memory to execute instructions; a rechargeable battery to electrically power the personal safety device; a front facing video camera to capture video data of a scene anterior to a front face of the personal safety device; a rear facing video camera to capture video data of a scene posterior to a rear of the personal safety device; an audio capture device to capture audio data from an environment within which the personal safety device is to operate; a trigger to initiate recording of the front facing video camera, the rear facing video camera, and the audio capture device when triggered by an operator of the personal safety device; and a transceiver to transmit the recorded video data from the front and rear cameras and the captured audio data to a remote location over a network. According to another embodiment, a holster operates in conjunction with a body camera to activate audio and video capture and streaming upon removal of a firearm from the holster. Other related embodiments are disclosed.
H04W 4/04 - in a dedicated environment, e.g. buildings or vehicles
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04W 4/029 - Location-based management or tracking services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (SAAS) services featuring data collection and predictive analysis software for industry; providing SAAS, namely, providing software for software platform integration to and with existing systems and equipment to enable companies to engage real time equipment failure monitoring and prevention; SAAS services featuring comprehensive software platform, integrated application programming interface software, configurable software engines and database analysis software, and attendant operating and application software for sensors and actuators and related hardware, all for integration with client systems, structures, processes and equipment, to enable clients to monitor equipment and processes to detect failures, inefficiencies, or stressors in order to prevent emergencies, disruptions, equipment and process failures, and allow for early analysis and response; SAAS services featuring software for the oil and gas industry to enable management, administration, analytics, and reporting for regulatory compliance; SAAS services featuring software for regulatory inspections of manufacturing plants and for manufacturing plants to be compliant with regulations; providing Internet of Things (IoT) integration services in the field of data collection and predictive analytics, namely, through implementation of software platform, application programming interface modules, sensors and actuators, related connective software, hardware and assembly in order to integrate disparate computer systems, networks, hardware and software, manufacturing equipment, to facilitate early warning detection of malfunctions, stressors, and predictive events and allow for remote monitoring and response; providing temporary use of on-line non-downloadable software allowing users and enterprise software applications to interface with remote devices and to allow connectivity, management, monitoring, auditing, all via a computer network; providing SAAS, namely, providing software-based solution to allows users or enterprise software applications to interface with, connect to and manage remote devices and providing a computing platform and solution that allows users or enterprise software applications to interface with, connect to and manage remote devices in integrated data collection and predictive analytics solution; consulting with regard to computer systems, computer network connectivity hardware and computer network connectivity software and middleware; technical support services, namely, troubleshooting and diagnosing system software, integration and connectivity software and middleware; computer services, namely, providing remote management of remote devices via computer networks; technical consulting and assistance with computer-based information systems and components, namely, technical consulting services in the field of data collection and predictive analytics to provide forewarning against losses, inefficiencies, and wastage
An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.
Systems are disclosed herein for improving analytic processing and processing for handling severe outliers in a dataset that cause predictive analytic processing to fail. In one embodiment, the system comprises one or more processors, a memory communicatively coupled to the one or more processors and to store logic, the logic, upon being executed by the one or more processors, transmits instructions to filter data for only a specified one or more variables, receives a first set of specified variables corresponding to a first external database, upon receiving the first set of specified variables, accessing a second set of specified variables corresponding to a second external database, accessing a third set of specified variables corresponding to a third external database, and performing predictive analytic processing using the first set of specified variables, the second set of specified variables and the third set of specified variables to generate a first insight.
