The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Theory of computation, particularly the connections among logic, automata and computational complexity. His current research projects involve algebraic and model-theoretic approaches to circuit ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

A hybrid computer uses rotating mechanical beams for memory and electrical contacts for logic, performing reprogrammable computation through physical motion in environments where conventional ...

At the heart of computer science is the ability to find creative solutions to complex problems. It’s not just about studying the principles of software design or exploring the subtle nuances of ...