首页|New Machine Learning Study Findings Reported from University of Electronic Scien ce and Technology of China [Adaptive Resolution Inference (Ar i): Energy-efficient Machine Learning for Internet of Things]
New Machine Learning Study Findings Reported from University of Electronic Scien ce and Technology of China [Adaptive Resolution Inference (Ar i): Energy-efficient Machine Learning for Internet of Things]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Chengdu, People’s Republic of C hina, by NewsRx journalists, research stated, “The implementationof machine lea rning (ML) in Internet of Things (IoT) devices poses significant operational cha llengesdue to limited energy and computation resources. In recent years, signif icant efforts have been made toimplement simplified ML models that can achieve reasonable performance while reducing computation andenergy, for example by pru ning weights in neural networks, or using reduced precision for the parametersa nd arithmetic operations.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China
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