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
Source: mit.edu