Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Advancing proprietary AI discovery of high-bioavailability Oral GLP-1 drug candidates. HOUSTON, Feb. 3, 2026 /PRNewswire/ -- Deep EigenMatics, Inc., a pioneer in high-velocity Artificial Intelligence ...
From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...
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