“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 ...

Download Maple – advanced mathematics and symbolic computation. Maple represents a comprehensive environment for mathematical exploration and technical problem solving, blending symbolic computation ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

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 ...