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Tech Xplore on MSNNew algorithm enables efficient machine learning with symmetric data structuresIf you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
9d
Tech Xplore on MSNA thermodynamic approach to machine learning: How optimal transport theory can improve generative modelsJoint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...
We are excited to welcome this year's cohort for the Machine Learning in Economics Summer Institute, which will be held in Chicago, August 7-13, 2025. Applications for the 2025 Institute can be found ...
Katy Perry suffered a scare when she nearly fell off a flying prop at her concert Friday night.
Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...
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