Robotics & Machine Learning Daily News2024,Issue(Nov.21) :59-60.

New Machine Learning Findings from Colorado School of Mines Described (Predictio n of Antenna Performance Based On Scalable Data-informed Machine Learning Method s)

科罗拉多矿业学院的机器学习新发现基于可伸缩的天线性能描述(预测)数据信息机器学习方法

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :59-60.

New Machine Learning Findings from Colorado School of Mines Described (Predictio n of Antenna Performance Based On Scalable Data-informed Machine Learning Method s)

科罗拉多矿业学院的机器学习新发现基于可伸缩的天线性能描述(预测)数据信息机器学习方法

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍机器学习的新数据。根据来自Golden,Colorado,作者NewsRx Journali Sts,research称:“本文提出了一种可扩展的体系结构。”利用各种数据信息机器学习方法(DIML)预测天线性能。该体系结构利用图形处理单元(GPUs)的运算能力,充分利用了硬件(HW)加速从电磁(EM)全波仿真到最终机器学习(ML)验证。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromGolden, Colorado, by NewsRx journali sts, research stated, “- This paper proposes a scalable architecturefor predict ing antenna performance using various data- informed machine learning (DIML) met hods. By utilizing the computation power of graphics processing units (GPUs), th e architecture takes advantage ofhardware (HW) acceleration from the beginning of electromagnetic (EM) full-wave simulation to the finalmachine learning (ML) validation.”

Key words

Golden/Colorado/United States/North a nd Central America/Cyborgs/Emerging Technologies/Machine Learning/Colorado S chool of Mines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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