科学智能-人工智能新浪潮

Lecture theme: AI-for-Science: The next wave of artificial intelligence Session 1: Overview：AI-for-Science: The next wave of artificial AI Booming AI: From Mimicking Human to Discovering the World Science: Discover and Change the World Four Paradigms of Science Closing the Loop of Scientific Discovery Session 2: Solving Scientific Equations Graphormer for Molecular Modeling Molecular Simulation AI Models for Molecular Simulation Graphormer Graphormer: Results MD Simulation for SARS-COV-2 The “Wedge” Effect of NTD DeepVortexNet for Fluid Modeling Meteorological Simulation Physics-informed Neural Network From Derivative-based to Monte-Carlo Deep Vortex Network Session 3: Mining Experimental Observations LorentzNet for Particle Detection Particle Detection Jet Analysis and Group Equivariance Problems with Existing AI Models LorentzNet Experimental Results SPT-Scientific Language Model SPT: Foundation Model for Science Effective Training: A System Work Effective Inference: Double Prompts Experimental Results Session 4: Discovering New Science AI for New Physics Detection Force Field Decomposing Learning Non-conservative Dynamics Experimental Results Target Applications More of Our Recent Research Microsoft Research AI4Science