摘要
由一名新闻记者兼机器人与机器学习每日新闻的新闻编辑根据来自华盛顿特区的新闻报道来源，由NewsRx记者提出的专利申请是由Inve Ntors BARR，Brian（纽约州申内克塔迪）；BEAN，Kenny（弗吉尼亚州赫恩登）；GOODSITT，Jeremy（伊利诺伊州香槟，美国）；RAFFERTY，Galen（加利福尼亚州马霍米特，美国2024年6月6日在线提供。本专利申请没有受让人。记者们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。通过先进的类人智能(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目标的机会。机器学习是人工智能的一种方法或子集，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，并生成输出(例如，预测、验证等)，而不需要人来编程特定的指令S。
Abstract
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."
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