首页|Patent Application Titled 'Biasing Machine Learning Model Outputs' Published Onl ine (USPTO 20240185369)
Patent Application Titled 'Biasing Machine Learning Model Outputs' Published Onl ine (USPTO 20240185369)
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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 BARR, Brian (Schenectady, NY, US); BEAN, Kenny (Herndon, VA, US); GOODSITT , Jeremy (Champaign, IL, US); RAFFERTY, Galen (Mahomet, IL, US); SHARPE, Samuel (Cambridge, MA, US); WALTERS, Austin (Savoy, IL, US), filed on December 5, 2022, was made available online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Artificial intelligence describes different ways that a machi ne interacts with an environment. Through advanced, human-like intelligence (e.g ., provided by software and hardware), an artificial intelligence system may per ceive an environment and take actions that maximize a chance of achieving goals. Machine learning is an approach, or a subset, of artificial intelligence, with an emphasis on learning rather than just computer programming. A machine learnin g system may utilize complex models to analyze a massive amount of data, recogni ze patterns among the data, and generate an output (e.g., a prediction, a classi fication, or the like) without requiring a human to program specific instruction s."
Artificial IntelligenceCyborgsEmergi ng TechnologiesMachine LearningPatent Application
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