Robotics & Machine Learning Daily News2024,Issue(Jul.3) :41-42.

University of Massachusetts Amherst Researcher Details New Studies and Findings in the Area of Machine Learning (Survey of Security Issues in Memristor-Based Ma chine Learning Accelerators for RF Analysis)

马萨诸塞大学阿默斯特研究员详细介绍了机器学习领域的新研究和发现(基于memristor的射频分析机器学习加速器安全问题调查)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :41-42.

University of Massachusetts Amherst Researcher Details New Studies and Findings in the Area of Machine Learning (Survey of Security Issues in Memristor-Based Ma chine Learning Accelerators for RF Analysis)

马萨诸塞大学阿默斯特研究员详细介绍了机器学习领域的新研究和发现(基于memristor的射频分析机器学习加速器安全问题调查)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx记者从马萨赫茨阿默斯特的新闻报道,研究表明,“我们探索了一种新的计算范式的安全性方面,该范式结合了新型记忆器和传统互补金属氧化物半导体(CMOS),构建了一种高效的模拟和/或数字结构,特别适合用于射频(RF)信号的机器学习(ML)集成处理器。为此类应用领域设计的模拟和/或混合硬件遵循与传统CMOS不同的约束条件。”这项研究的资助者包括陆军研究实验室。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Amherst, Massach usetts, by NewsRx journalists, research stated, “We explore security aspects of a new computing paradigm that combines novel memristors and traditional Complime ntary Metal Oxide Semiconductor (CMOS) to construct a highly efficient analog an d/or digital fabric that is especially well-suited to Machine Learning (ML) infe rence processors for Radio Frequency (RF) signals. Analog and/or hybrid hardware designed for such application areas follows different constraints from that of traditional CMOS.” Funders for this research include Army Research Laboratory.

Key words

University of Massachusetts Amherst/Amh erst/Massachusetts/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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