摘要
Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-根据NewsRx记者来自华盛顿特区的新闻报道，发明者穆罕默德·哈扎(Dammam,SA)、安东亚历山大(Columbia,MD,US)于2023年5月12日申请专利，2024年5月16日在线提供。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(AI)可以使计算rs执行越来越复杂的任务，例如与通常与人类相关的认知功能有关的任务。目前有几种人工智能方法，包括机器学习(ML)技术。在机器学习中，计算机可以被编程来解析数据，从数据中学习。”并从现实世界中做出预测。有了机器学习，计算机可以使用数据来训练执行任务，而不是用特定的算法来显式编程来执行任务。在被称为人工神经网络的E ML方法上，灵感来自于生物大脑中神经元的互连。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors AlMutairi, Mohammed Hazza (Dammam, SA); Alexander, Anton (Columbia, MD, US), fil ed on May 12, 2023, was made available online on May 16, 2024, according to news reporting originating from 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 (AI) can enable compute rs to perform increasingly complicated tasks,such as tasks related to cognitive functions typically associated with humans. Several approaches to AI are preval ent, including machine learning (ML) techniques. In ML, a computer may be progra mmed to parse data, learn from the data, and make predictions from real-world in puts. With ML, a computer may be trained using data to perform a task, rather th an explicitly programmed with a particular algorithm for performing the task. On e ML approach, referred to as artificial neural networks, was inspired by the in terconnections of neurons in a biological brain.
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