Terra AI转发了
Earlier this month we were thrilled to host Professor Dani Blatter?as the first speaker in our new research seminar series at Terra AI! She delivered an exciting talk on Randomize-then-Optimize (RTO-TKO)—a lightning-fast Bayesian sampling strategy for subsurface imaging. Her approach bridges the gap between traditional inversion techniques and full Bayesian uncertainty estimation, making it possible to model uncertainty in large-scale geophysical problems without the crushing computational cost of MCMC. And best of all? It’s embarrassingly parallel! At Terra AI, staying ahead of cutting-edge AI and geoscience research is at the core of what we do. If you're working at the intersection of AI/ML, geophysics, and Bayesian inference, we’d love to hear your thoughts! Here's a question for everyone—what’s the biggest challenge you see in bringing Bayesian methods to large-scale geophysical problems? Terra AI, John Mern, PhD, Anthony Corso, Arec Jamgochian, Richard Rex, Danny Donahue, Luke R. #AI #Geophysics #BayesianInference #MachineLearning #SubsurfaceImaging #TerraAI