摘要
来自华盛顿特区的Robotics&Machine Learning Daily News Daily News的新闻记者兼工作人员新闻编辑报道，发明者日Mark(GB Guiseley)；JORDAN,Lewis(GA Atlanta,US)；JOSHUA,Allan(GA Atlanta,US)；MILLER,Stephe N(GB本专利申请没有受让人。新闻编辑从发明人提供的背景信息中获得了以下引文：“机器学习和其它自动化建模过程可以用于执行一个或多个功能(例如，获取、处理、分析和理解各种输入以便产生包括数字或符号信息的输出)。例如，这种技术可以涉及使用计算机实现的模型和算法(例如，卷积神经网络、支持向量机等。在一个例子中，用机器学习模型编程的计算机系统可以学习FROM训练数据，从而执行涉及与训练数据相似的环境或输入的未来任务。这种计算系统可以用于例如识别图像中的某些个人或对象，模拟O R根据与Gi Ven个人的交互模式预测实体未来的行为，等等。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors DAY, Mark (Guiseley, GB); JORDAN, Lewis (Atlanta, GA, US); JOSHUA, Allan (Atlanta, GA, US); MILLER, Stephe n (Guiseley, GB); TURNER, Matthew (Cumming, GA, US), filed on January 3, 2024, w as made available online on June 6, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Machine-learning and other automated modeling processes ca n be used to perform one or more functions (e.g., acquiring, processing, analyzi ng, and understanding various inputs in order to produce an output that includes numerical or symbolic information). For instance, such techniques can involve u sing computerimplemented models and algorithms (e.g., a convolutional neural ne twork, a support vector machine, etc.) to simulate human decision-making. In one example, a computer system programmed with a machinelearning model can learn f rom training data and thereby perform a future task that involves circumstances or inputs similar to the training data. Such a computing system can be used, for example, to recognize certain individuals or objects in an image, to simulate o r predict future actions by an entity based on a pattern of interactions to a gi ven individual, etc."
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