In 1946, the mathematician Paul Erdős posed the unit distance problem—and suggested a winning strategy. An A.I. model has now ...

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

Artificial intelligence (AI) was not a formal or informal part of my graduate school training, yet AI is increasingly ...

While Meta is conducting another brutal round of layoffs, cutting highly experienced, specialised AI talent to “flatten" its org chart, Elon Musk is working on another trajectory. He recently tweeted ...

If you've been using AI tools for chemistry lab reports or physics problem sets in 2026, you're likely already experiencing a major shift: these tools are no longer just chatbots you copy-paste from.

Abstract: With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly ...

Some readers may solve the problem procedurally: line up the two numbers, add the ones column, carry the one, and add the tens to get 43. Others might instead notice a creative shortcut: 29 + 14 is ...

This article investigates a distributed aggregative optimization problem, focusing on formation control within local constraint sets over a multirobot system. Each robot's local objective function is ...

Chennai, India - In a landmark partnership, Mu Sigma Business Solutions Private Limited and its charitable arm, Mu Sigma Foundation, have joined forces with Anna University to launch the Ambiga & ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...