Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

These conversations reveal how top practitioners are adapting strategy as platforms prioritize automation over transparency.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Why the challenge of truly representative democracy is so complex. Moon Duchin, who leads the University of Chicago’s Data and Democracy Research Initiative, explores how math can help solve ...

Start talking about engaging games or virtually any gambling product and, well, randomness tends to be the common thread. Developers usually lean on math—algorithms, probability, all that—to introduce ...

Data center company Core Scientific Inc. asked a Texas federal judge to throw out Malikie Innovations Ltd.’s lawsuit against it, arguing the asserted cryptography patents are invalid because they ...

The inaugural winner of the Yale Nonfiction Book Prize, this debut collection from Gleason contains enlightening and beautifully written essays on illness and medicine. The Continue reading » Letters ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...