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Estimating the informativeness of data

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. ....

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 , Information Theory , Probabilistic Programming , Probabilistic Inference , Ntropy Estimators , Ikash Mansinghkha , Feras Saad , Bayesian Inference , Artificial Intelligence Research , Ntropy Via Inference Eevi , Medical Diagnoses , Claude Shannon ,