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MIT researchers discovered a new way to estimate the amount of information contained in a piece of data using probabilistic programming and probabilistic inference. The breakthrough entropy estimators open up new applications in medicine, scientific discovery, cognitive science, and artificial intelligence.

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,Claude Shannon ,Feras Saad ,Vikash Mansinghka ,Department Of Brain ,Cognitive Sciences ,Mathematical Theory ,Emeritus Claude Shannon ,Marco Cusumano Towner Phd ,Probabilistic Models ,Mit Csail ,Probabilistic Computing Project ,Robcomp ,Information Theory ,Probabilistic Programming ,Probabilistic Inference ,Ntropy Estimators ,Ikash Mansinghkha ,Bayesian Inference ,Artificial Intelligence Research ,Ntropy Via Inference Eevi ,Medical Diagnoses ,

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