首页|Findings from University of Minnesota Update Knowledge of Machine Learning (A Ma chine Learning Approach To Improving Timing Consistency Between Global Route and Detailed Route)
Findings from University of Minnesota Update Knowledge of Machine Learning (A Ma chine Learning Approach To Improving Timing Consistency Between Global Route and Detailed Route)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According to newsreporting out of Minneapolis, M innesota, by NewsRx editors, research stated, “Due to the unavailabilityof rout ing information in design stages prior to detailed routing (DR), the tasks of ti ming predictionand optimization pose major challenges. Inaccurate timing predic tion wastes design effort, hurts circuitperformance, and may lead to design fai lure.”
MinneapolisMinnesotaUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniv ersity of Minnesota
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