首页|'Assessment Of Artificial Intelligence Errors Using Machine Learning' in Patent Application Approval Process (USPTO 20240185090)
'Assessment Of Artificial Intelligence Errors Using Machine Learning' in Patent Application Approval Process (USPTO 20240185090)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors BARR, Brian (Schenectady, NY, US); BEAN, Kenny (Herndon, VA, US); GOODSITT, Jere my (Champaign, IL, US); RAFFERTY, Galen (Mahomet, IL, US); SHARPE, Samuel (Cambr idge, MA, US); WALTERS, Austin (Savoy, IL, US), filed on December 5, 2022, was m ade available online on June 6, 2024, according to news reporting originating fr om Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Artificial intelligence describes different way s that a machine interacts with an environment. Through advanced, human-like int elligence (e.g., provided by software and hardware), an artificial intelligence system may perceive an environment and take actions that maximize a chance of ac hieving goals. Machine learning is an approach, or a subset, of artificial intel ligence, with an emphasis on learning rather than just computer programming. A m achine learning system may utilize complex models to analyze a massive amount of data, recognize patterns among the data, and generate an output (e.g., a predic tion, a classification, or the like) without requiring a human to program specif ic instructions."
Artificial IntelligenceCyborgsEmergi ng TechnologiesMachine LearningPatent Application
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