The bat-and-ball problem is a famous math puzzle that more than half of people—even Harvard graduates—get wrong. It's ...

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...

A new benchmark pitting AI against previously unseen maths problems shows systems still fall short of top human expertise.

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...

Abstract: Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a ...

An experiment with 2,520 participants backs Richard Feynman’s answer to every diner’s dilemma: do I want to try something new?

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...

For generations, mathematicians have tried and failed to solve an 80-year-old problem. In May, an artificial intelligence (AI) model successfully tackled it. OpenAI, the maker of ChatGPT, said one of ...

Place any number of dots on a two-dimensional plane—say, a piece of paper—and measure the distance between each pair. If you rearrange the dots, how many pairs could be positioned exactly the same ...