Robotics & Machine Learning Daily News2024,Issue(Jun.24) :131-133.

'Assessment Of Artificial Intelligence Errors Using Machine Learning' in Patent Application Approval Process (USPTO 20240185090)

专利申请批准过程中的“使用机器学习评估人工智能错误”(USPTO 20240185090)

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :131-133.

'Assessment Of Artificial Intelligence Errors Using Machine Learning' in Patent Application Approval Process (USPTO 20240185090)

专利申请批准过程中的“使用机器学习评估人工智能错误”(USPTO 20240185090)

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摘要

由Robotics&Machine Learning Daily News的新闻记者兼工作人员新闻编辑-发明者BARR,Brian(Schenectady,NY,US);BEAN,Kenny(Hernandon,VA,US);GOODSITT,Jere My(Campaign,IL,US);RAFFERTY,Galen(Mahom根据来自华盛顿特区的新闻报道,由NewsRx记者报道。本专利申请未转让给公司或机构。新闻编辑从发明者提供的背景信息中获得了以下引文:“人工智能描述了机器与环境交互的不同方式。通过高级的、类人的智能(例如由软件和硬件提供),人工智能系统可以感知环境并采取行动,最大限度地提高实现交流目标的机会。机器学习是一种方法或子集,机器学习系统可以利用复杂的模型来分析大量的数据,识别数据之间的模式,并产生输出(例如,预测,分类等),而不需要人来编写特定的指令。

Abstract

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."

Key words

Artificial Intelligence/Cyborgs/Emergi ng Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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