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Researchers from AMLab and CuspAI Introduced Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
MarkTechPost@AI 2025-03-07T20:16:09.000000Z
Theorists propose a completely new class of quantum particles
Physics World 2025-01-28T13:10:57.000000Z
Polymathic AI Releases ‘The Well’: 15TB of Machine Learning Datasets Containing Numerical Simulations of a Wide Variety of Spatiotemporal Physical Systems
MarkTechPost@AI 2024-12-03T01:04:55.000000Z
小样本下的数据驱动建模:基于神经常微分方程|周四直播·复杂系统自动建模读书会第二季
集智俱乐部 2024-09-25T15:42:17.000000Z
Researchers from Brown University Introduce Symplectic Graph Neural Networks (SympGNNs) to Revolutionize High-Dimensional Hamiltonian Systems Modeling and Overcome Challenges in Energy Conservation and Node Classification
MarkTechPost@AI 2024-09-10T09:20:10.000000Z
Every system is equivalent to some utility maximizer. So, why are we still alive?
少点错误 2024-07-27T08:51:24.000000Z
博士论文| Northwestern 2024 | AI for Science: 图机器学习作为理解、控制和创建物理系统的工具
智源社区 2024-07-21T15:22:06.000000Z
Scientists use generative AI to answer complex questions in physics
MIT News - Computer Science and Artificial Intelligence Laboratory 2024-05-16T04:02:50.000000Z
Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) 2024-05-12T04:32:35.000000Z