By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors KIM, Stephanie (New York, NY, US); PUVVADA, Anu (Houston, TX, US); SISSELM AN, Michael (Lakeville, CT, US); URBAN, Andrew (Seattle, WA, US); YANOSY, JR., J ohn A. (Grapevine, TX, US), filed on September 29, 2023, was made available onli ne on September 5, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Current assessments ignore context and the causal influential relationships between intrinsic characteristics of an assessment object and the extrinsic characteristics of an external environment. Current assessments do no t specify the semantics of its core concepts, specify any logical relationships in a model, or impose any requirements for data driven evidence-based objectivit y. Thus, the determinations made by current assessment models tend to have lower accuracies. Current assessment models are unable to discover,semantically inte grate, and interpret information acquired from multiple sources that are relevan t to an assessment object having various levels of common understanding and matu rity of embodiment.
Artificial IntelligenceCyborgsEmergi ng TechnologiesMachine LearningPatent Application
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