The information bottleneck (IB) principle is a powerful information‐theoretic framework that seeks to compress data representations while preserving the information most pertinent to a given task.

In recent years, as the field of deep learning has matured, a small but growing group of researchers and technologists has begun to question the prevailing assumptions behind neural networks. Among ...

Deep learning may need a new programming language that's more flexible and easier to work with than Python, Facebook AI Research director Yann LeCun said today. It's not yet clear if such a language ...

Introduction to machine learning and artificial neural networks; feasibility of learning; deep feedforward networks; regularization in deep learning; optimization of deep learning models; ...

Geoffrey Hinton, University Professor emeritus of computer science at the University of Toronto and winner of the 2024 Nobel Prize in Physics, has added another prestigious award to his collection: ...