Intel Corporation

Other

Aieconomy LLC

Brian McCarson

Mark Y Kelly

Keith Nolan

Niall Cahill

Keith A Ellis

Hugh Martin Carr

Charlie Sheridan

Michael J Nolan

Peter J Barry

Michael J McGrath

Cliodhna Ni Scanaill

Jessica C McCarthy

Gabriel Mullarkey

Daire Healy

Lisa Sherin

Philip Wade

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

Agentic AI, contextual AI, and generative AI systems and methods for medical and genetic analytics, diagnostics, and treatment recommendations

Generative AI systems and methods are provided to produce leading indicators of economic activity based on, for example, agricultural, fishing, mining, lumber harvesting, environmental, or ecological attributes and other factors determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users may then subscribe to the date for the use in economic forecasting.

Generative AI systems and methods for economic analytics and forecasting

Generative AI systems and methods are developed to provide recommendations regarding the prevention, detection, mitigation, and/or remediation of cybersecurity threats as determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users and/or AI agents (i.e., a form of 'agentic AI') may then subscribe to the data for the use in cybersecurity analytics, protection, mitigation, containment, remediation, and/or counterattacks of cybersecurity threats.

Generative AI and agentic AI systems and methods for prevention, detection, mitigation and remediation of cybersecurity threats

Generative AI systems and methods are provided to provide recommendations as to whether a particular security associated with a corporate entity and/or its competitors should be purchased, sold, or held, as determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users may then subscribe to the date for the use in economic forecasting.

Generative AI systems and methods for securities trading

Methods, apparatus, systems and articles of manufacture are disclosed to manage process excursions. An example apparatus includes a digital twin comparer to determine when a product fails to satisfy a tolerance metric of a digital twin, and a fingerprint manager to generate a fingerprint corresponding to a sensor pattern. The example apparatus also includes a node interfacer to determine a number of workstations of a process control system that exhibit the fingerprint, and an excursion statistics calculator to invoke a corrective action for respective ones of the number of workstations, the corrective action based on a threshold count of the number of workstations that exhibit the fingerprint.

Methods, systems, articles of manufacture and apparatus to manage process excursions

Predictive analytics techniques are used to produce leading indicators of economic activity based on factors determined from a range of available data sources, such as public and/or private transportation data. A fee-based subscription system may be provided for the sharing of leading indicators to users. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode.

Systems and methods for deriving leading indicators of future manufacturing, production, and consumption of goods and services

Orchestration and/or management of services on deployed computing, electronic, appliance and like devices are described. A service orchestration and/or management system ('SOMS') may be configured to provide for orchestration and/or management of services to one or more deployed devices. The SOMS may obtain information from deployed devices, such as status, capabilities and service metadata. The SOMS may then encapsulate and store the obtained information for later use. The SOMS may also store service information, facilitate creation of services based on stored service definition meta-data, modeling or simulating a service prior to deployment, and deployment of a service to remotely deployed devices followed by activation to begin operation of the service. Other embodiments may be described and claimed.

Orchestration and management of services to deployed devices

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that receive a plurality of sensor data values and a plurality of location data values corresponding to the sensor data values, may generate interpolated data values for a surveyed area, and may generate an image corresponding to the surveyed area based at least in part on the sensor data values and the interpolated data values. Other embodiments may be described and/or claimed.

Growing community of inventors

Chandler, AZ, United States of America

Brian McCarson