The scientist, a pioneer in neural networks, warns that ‘the capabilities of artificial intelligence continue to advance at a ...
Advancing proprietary AI discovery of high-bioavailability Oral GLP-1 drug candidates.HOUSTON, Feb. 3, 2026 /PRNewswire/ -- Deep EigenMatics, Inc., a ...
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
Abstract: Sparse deep neural networks (DNNs) are preferable in many real-world applications, especially edge computing. How to find the sparse structure of deep neural networks so that the model can ...
Abstract: Selecting targets to attack and assigning weapons are among the most critical decisions on the battlefield. The decision problem is represented as a dynamic weapon-target assignment (DWTA) ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
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