“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

NYC Solves has faced criticism from educators for assuming kids have mastered skills, leaving some lost and frustrated.

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 ...

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

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

Mathematics underpins defence, finance, AI and governance, yet India lacks sovereign capability. Six-pillar strategy proposes institutes, talent pipelines, defence maths, industry funding, state ...