Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

Bestselling math author Danica McKellar has valuable communication tips from a career as a professional storyteller.

For the lowest power consumption, MCUs are still preferred, and for high performance, MPUs are dominant. But that’s changing.

Explore what drives blockchain transaction fees lower and how cheaper fees impact adoption, DeFi, and network scalability.

Somewhere at the edge of mathematics lurks a number so large that it breaks the very foundations of our understanding - and ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

Why is it so hard for manufacturers to bring AI to the factory floor? What will it take? It boils down to strategic ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.