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MIT's Probabilistic Computing Project develops tools and systems that integrate probabilistic inference, generative models, and Monte Carlo methods to advance artificial and natural intelligence. The project has produced probabilistic programming languages, automated Bayesian modeling systems, and Bayesian inverse graphics for 3D computer vision, with applications tested through industry collaborations and open-source software.
AI named PClean in January 2026.