The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...
A new international study suggests most clinical artificial intelligence (AI) tools are not yet ready for safe, equitable use ...
This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
QINGDAO, SHANDONG, CHINA, January 19, 2026 /EINPresswire.com/ -- The landscape of environmental monitoring and ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.
The Satu Mare project is a utility-scale solar plant owned and operated by Shikun & Binui Energy. Under the agreement, DeepSolar will provide continuous analytics and performance monitoring designed ...
Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...
Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?
Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal missions prevent Kessler syndrome and protect orbiting spacecraft.
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
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