Robotics & Machine Learning Daily News2024,Issue(Oct.14) :99-100.

Studies from Tsinghua University Add New Findings in the Area of Artificial Inte lligence (Photoresponsive Two-dimensional Magnetic Junctions for Reconfigurable In-memory Sensing)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :99-100.

Studies from Tsinghua University Add New Findings in the Area of Artificial Inte lligence (Photoresponsive Two-dimensional Magnetic Junctions for Reconfigurable In-memory Sensing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Artificial Intelligence have bee n presented. According to news reporting originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Magnetic tunneling ju nctions (MTJs) lie in the core of magnetic random access memory, holding promise in integrating memory and computing to reduce hardware complexity, transition l atency, and power consumption. However, traditional MTJs are insensitive to ligh t, limiting their functionality in in-memory sensing-a crucial component for mac hine vision systems in artificial intelligence applications.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Artificial Intelligence/Emerging Technologies/Machine Learning/Machine Vis ion/Magnetoresistance/Physics/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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