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

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

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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.

AlbuquerqueNew MexicoUnited StatesNorth and Central AmericaBusinessCyborgsEmerging TechnologiesMachine Lea rningSandia National Laboratories

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.5)