A deep multi-agent reinforcement learning framework that jointly coordinates electric vehicle charging, traffic routing and ...

A new two-stage reduced order model combines hyper-reduction and Gaussian process regression to cut both training and ...

A prominent researcher claims to have a revolutionary approach to “interpretability,” or the science of why A.I. models do ...

A few short years ago, asking AI to add two four-digit numbers together for a third-grade math assignment would have been a bad idea. Over half the time, the answer would be wrong, studies have shown.

OpenAI released proposed solutions to hundreds of math problems. Knowledge-intense companies need to understand if competitors are out-spending them on AI.

When OpenAI released hundreds of claimed solutions to some of the world’s hardest math problems this week, the frontier lab said that it had consulted an advisory group of elite mathematicians to ...

After a previous solution angered mathematicians, the company characterized the new release as being more responsive to concerns about A.I. disrupting research. By Kenneth Chang and Siobhan Roberts ...

On October 2, 2026, Meta AI Research published six mathematics papers co-authored with human mathematicians and its Muse Spark model — five of them presenting answers to previously unsolved open ...

Coding talent, creativity and teamwork took centre stage at TUT's eMalahleni Campus when students showcased innovative software solutions during the Fourth Annual Programming Fest. The event ...

We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...

You’re neck-deep in IKEA assembly instructions. Furniture parts lie strewn across the floor. Your new purchase sits half-complete in front of you, mocking your fruitless hours. As an uninterested ...