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Self-learning AI separates particle jets from background noise in simulated heavy-ion collisions
A team of physicists and computer scientists led by researchers at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory developed a new artificial intelligence (AI) approach that ...
Researchers introduced Machinometrics, a framework integrating deep learning activation heatmaps with physical density and ...
A systematic scoping review of 318 diagnostic accuracy studies found widespread variation in expert panel designs and ...
Artificial intelligence for materials science is moving beyond isolated prediction and optimization toward integrated research systems that connect computation, experimentation and scientific ...
As artificial intelligence becomes one of the fastest-adopted technologies, questions around who builds it, who benefits from it and who is left behind are becoming increasingly urgent. At the eShe ...
Against the backdrop of the global AI industrial boom, "The Practical Path of AI Entrepreneurship in China" systematically ...
Three technologies developed by MIT Lincoln Laboratory are among recipients of 2026 R&D 100 Awards. The awards recognize the ...
Artificial intelligence for materials science is moving beyond isolated prediction and optimization toward integrated research systems that connect ...
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