首页|Study Results from Department of Computer Sciences and Engineering Broaden Under standing of Machine Learning (Machine Learning-based Computation Offloading In M ulti-access Edge Computing: a Survey)

Study Results from Department of Computer Sciences and Engineering Broaden Under standing of Machine Learning (Machine Learning-based Computation Offloading In M ulti-access Edge Computing: a Survey)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Gauhati, India, by Ne wsRx correspondents, research stated, “The advancement of technology towards the realization of the evolving mobile computing paradigm brings a rapid paradigm s hift in its usage, especially in the Internet, computation, and communications, that has a profound impact on businesses, services, and users. With the rise in resource -intensive or edge -based mobile applications such as autonomous drivin g, Amazon Go, virtual and augmented reality, and healthcare -related application s, countless challenges in computation and communication parameters like latency , bandwidth, and energy consumption are evolving.”

GauhatiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningDepartment of Computer Sciences and Engineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.16)