Robotics & Machine Learning Daily News2024,Issue(Aug.26) :55-56.

Findings from University of Southern California (USC) Update Knowledge of Machin e Learning (Inference Latency Prediction for Cnns On Heterogeneous Mobile Device s and Ml Frameworks)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :55-56.

Findings from University of Southern California (USC) Update Knowledge of Machin e Learning (Inference Latency Prediction for Cnns On Heterogeneous Mobile Device s and Ml Frameworks)

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Abstract

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 Los Angeles, C alifornia, by NewsRx editors, research stated, “Due to the proliferationof infe rence tasks on mobile devices, state-of-the-art neural architectures are typical ly designed usingNeural Architecture Search (NAS) to achieve good tradeoffs bet ween machine learning accuracy andinference latency. While measuring inference latency of a huge set of candidate architectures during NASis not feasible, lat ency prediction for mobile devices is challenging, because of hardware heterogen eity,optimizations applied by machine learning frameworks, and diversity of neu ral architectures.”

Key words

Los Angeles/California/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Uni versity of Southern California (USC)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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