首页|Researchers Submit Patent Application, 'Selecting A Runtime Configuration Based On Model Performance', for Approval (USPTO 20240330141)
Researchers Submit Patent Application, 'Selecting A Runtime Configuration Based On Model Performance', for Approval (USPTO 20240330141)
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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 Ambha Madhusudhana, Nikhil (Chicago, IL, US); Bryson, Barrett (Raleigh, NC, US); Nicholson, John W. (Cary, NC, US); Wang, Mengnan (Chapel Hill, NC, US), filed on March 29, 2023, was made available online on October 3, 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 models are computer programs that are use d to recognize patterns in data or make predictions. However, running a machine learning model can be resource intensive. When running machine learning models, due to varying system resources, the model output may be unstable and/or have un expected latency.” As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors’ summary information for this patent application: “Disclosed are procedures for selecting a runtime configuration ba sed on model performance. Said procedures may be implemented by apparatus, syste ms, methods, or computer program products.
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