首页|'Detecting and Correcting Anomalies in Computer-Based Reasoning Systems' in Pate nt Application Approval Process (USPTO 20240135206)
'Detecting and Correcting Anomalies in Computer-Based Reasoning Systems' in Pate nt Application Approval Process (USPTO 20240135206)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A patent application by the inventor H azard, Christopher James (Raleigh, NC, US), filed on October 23, 2023, was made available online on April 25, 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: “Many systems are controlled by machine learning systems. A common issue with such systems, however, is that when there is an an omalous outcome, such as a system failure, unexpected action, etc., there is no way to know why the system acted in the manner in which it did. For example, in a machine learning system to detect letters or numbers in images, tens or hundre ds of thousands of training data (e.g., pictures along with coded letters or num bers) might be used to train the system. The system can then be used to act on i ncoming images to find letters and numbers in those images. At times, those outc omes might be anomalous. For example, the system may “find” letters or numbers t hat are not actually in the images, find incorrect letters or numbers, or fail t o find letters or numbers in the images.
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