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Tech Xplore on MSN5d
New algorithm enables efficient machine learning with symmetric data structures
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Brown University22h
National Science Foundation renews Brown’s national mathematics institute with $16.5 million
The grant will fund the Institute for Computational and Experimental Research in Mathematics through 2030, offering ...
AZoQuantum4d
Quantum Computing Changes the Game for Low-Carbon Building Operations
Decarbonizing the built environment is crucial for net-zero goals. Quantum computing enhances building operations, optimizing energy use and reducing emissions.
Gaussian processes provide a new path toward quantum machine learning
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
Semiconductor Engineering12d
Machine Learning Tools Help Bridge Design-To-Manufacturing Gap
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
Tech Xplore on MSN4d
A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
EurekAlert!6d
Integration of machine learning and experimental validation reveals new lipid-lowering drug candidates
Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.