Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

Artificial intelligence algorithms are designed to learn in fits and starts. Instead of continuously updating their knowledge base with new information over time as humans do, algorithms can learn ...

This is a graduate topics course on learning in networks, focusing in particular on fundamental statistical and computational limits. Topics include the planted clique problem, community detection, ...

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...