Robotics & Machine Learning Daily News2024,Issue(Mar.26) :32-32.

Findings from University College London (UCL) Broaden Understanding of Machine L earning (An Ultralow-power Real-time Machine Learning Based Fnirs Motion Artifac ts Detection)

Robotics & Machine Learning Daily News2024,Issue(Mar.26) :32-32.

Findings from University College London (UCL) Broaden Understanding of Machine L earning (An Ultralow-power Real-time Machine Learning Based Fnirs Motion Artifac ts Detection)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from London, United Kingdom, by NewsRx journalists, research stated, “Due to iterative matrix multiplicatio ns or gradient computations, machine learning modules often require a large amou nt of processing power and memory. As a result, they are often not feasible for use in wearable devices, which have limited processing power and memory.”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/University College London (UCL)

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