Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all ...

For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

The conversation around explainable AI has never been more urgent, but you cannot have explainable AI without explainable ...

"With the acceleration of a new round of technological revolution, AI for Science has shifted the paradigm in scientific ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...

Fardeen NB (Fardeen Noor Basha), a 23-year-old artificial intelligence researcher and graduate of the University of Cincinnati, has developed a 7-billion parameter large language model (LLM) known as ...

Appfigures finds visual model launches generate 6.5x more downloads — but most don’t convert that spike into revenue.

In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...

The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

Networking chip company Astera Labs Inc. is trying to ease the traffic congestion in artificial intelligence data centers ...

IBM Corp. will use its Think 2026 conference today to outline a broad expansion of its enterprise artificial intelligence ...

The Trump administration on Tuesday announced it had expanded a program to give U.S. government scientists access to ...