Robotics & Machine Learning Daily News2024,Issue(MAY.6) :33-34.

New Artificial Intelligence Findings from University of Science and Technology Beijing Reported (Priority Aggregation Network With Integrated Computation and Sensation for Ultra Dense Artificial Intelligence of Things)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :33-34.

New Artificial Intelligence Findings from University of Science and Technology Beijing Reported (Priority Aggregation Network With Integrated Computation and Sensation for Ultra Dense Artificial Intelligence of Things)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According to newsreporting out of Beijing, Peop le’s Republic of China, by NewsRx editors, research stated, “In the realmof ult ra dense Intelligence of Things, efficient utilization of computation and sensat ion (CAS) resourcesremains a challenge due to their uneven temporal and spatial distribution.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).Our news journalists obtained a quote from the research from the University of S cience and TechnologyBeijing, “Priority Aggregation Network (PAN) is introduced to employ priority as an intermediary to restore,combine, and exchange idle CA S resources’ permissions for cross-temporal and cross-modal resourceleasing. PA N awards priority to devices that lease their sensing and computing resources to others,facilitating efficient resource allocation.”According to the news editors, the research concluded: “Numerical results indica te PAN maintains highcross-temporal task completion rates while conserving equi pment resources, with increased willingness topay for resources.”

Key words

Beijing/People’s Republic of China/Asi a/Artificial Intelligence/Emerging Technologies/Machine Learning/University of Science and Technology Beijing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文