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Josh Tenenbaum is a Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT). His research focuses on understanding the cognitive processes underlying human intelligence through a multidisciplinary approach that combines computational cognitive science, behavioral experiments, and machine learning. Tenenbaum's work investigates how humans learn to understand the world, including concept learning, causal reasoning, and the acquisition of language. His team utilizes Bayesian models and probabilistic programming to create computational models that can predict behavior and explain cognitive processes. By exploring how cognitive abilities can be modeled and understood through artificial intelligence systems, Tenenbaum aims to bridge the gap between human cognition and machine learning, contributing to advancements in both fields.