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Last updated: October 4, 2026, 6:02 AM ET

AI & ML Research

Researchers measured LLM agent creativity by testing discovery capabilities in novel problem-solving tasks. Meanwhile, engineers built a PyTorch-based PINN to solve Navier-Stokes inverse problems for blood flow simulation, recovering viscosity and wall shear stress from sparse measurements. Both studies highlight advances in applying ML to scientific discovery and fluid dynamics modeling.