Dijkstra's algorithm has long been the quickest way of finding the shortest possible paths in a network, but researchers have ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.