Robotics & Machine Learning Daily News2024,Issue(Jun.5) :11-12.

Findings from Sandia National Laboratories Has Provided New Data on Machine Lear ning (Machine Learning At the Edge To Improve In-field Safeguards Inspections)

桑迪亚国家实验室的研究结果提供了关于机器清理的新数据(边缘的机器学习,以改进现场安全检查)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :11-12.

Findings from Sandia National Laboratories Has Provided New Data on Machine Lear ning (Machine Learning At the Edge To Improve In-field Safeguards Inspections)

桑迪亚国家实验室的研究结果提供了关于机器清理的新数据(边缘的机器学习,以改进现场安全检查)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx J Ournalists在新墨西哥州阿尔伯克基的新闻报道,研究表明,"人工智能(AI)和机器学习(ML)在日常生活中几乎无处不在;来自具有自动驾驶系统、推荐系统、生成内容平台的汽车。实施人工智能作为国际保障措施的工具可以大大减轻保障监督检查员和核设施运营商的负担。这项研究的财政支持者包括美国国家核安全管理局(NNSA)国防核不扩散研发保障监督办公室Portfol,霍尼韦尔国际公司,能源部公共访问计划。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Albuquerque, New Mexico, by NewsRx j ournalists, research stated, “Artificial intelligence (AI) and machine learning (ML) are near-ubiquitous in day-to-day life; from cars with automated driver-ass istance, recommender systems, generative content platforms, and large language c hatbots. Implementing AI as a tool for international safeguards could significan tly decrease the burden on safeguards inspectors and nuclear facility operators. ” Financial supporters for this research include U.S. National Nuclear Security Ad ministration (NNSA) Office of Defense Nuclear Nonproliferation R&D Safeguards portfol, Honeywell International Inc., DOE Public Access Plan.

Key words

Albuquerque/New Mexico/United States/North and Central America/Business/Cyborgs/Emerging Technologies/Machine Lea rning/Sandia National Laboratories

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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