Exclusive: OpenAI is launching a worldwide competition to find its next star researchers. Do you have what it takes?

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Scan to BIM is the process of converting laser-scanned point cloud data into a Building Information Model (BIM), most commonly created in Autodesk Revit. BIMPROVE delivers Scan to BIM models at LOD ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...

AI didn't just create new attack surfaces. It fundamentally changed who—and what—is requesting access in your environment. Zero Trust needs an upgrade for a world where autonomous agents outnumber ...

Anthropic’s rise from research lab to $380 billion AI giant tests whether principled guardrails can survive Silicon Valley’s fierce innovation race.