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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 ...
A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...
Journal Reference: Feng Hu and Qiusheng Li. Reconstruction of tropical cyclone boundary layer wind field using physics-informed machine learning. Physics of Fluids, 2024 DOI: 10.1063/5.0234728 ...
4d
News-Medical.Net on MSNMachine learning model predicts radiotherapy response in patients with nasopharyngeal carcinomaResearchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...
The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...
Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...
PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI (the Facebook owner's AI research arm) in 2016, it is now maintained ...
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