Information theory provides a unifying framework for both model selection and data compression by quantifying the trade-off between model complexity and the fidelity with which a model represents data ...

A pair of Carnegie Mellon University researchers recently discovered hints that the process of compressing information can solve complex reasoning tasks without pre-training on a large number of ...

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...