Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...
Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional materials that may host unusual quantum behavior. The work, published in ...
Researchers have shown that imposing hard constraints on the direction of input-output effects during neural network training ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound. Take, for example, AlphaFold, the AI ...
Figure 1: Three studies apply statistical-physics approaches to understand neural networks. This artistic visualization renders a situation where the hierarchical structure of the data (above) is ...
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