Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Contemporary food systems face a profound paradox: never before have we produced so much food or accumulated so much knowledge about nutrition, yet ...

Some data suggest artificial intelligence is already causing job losses. Other sources show the opposite. Why is it so hard ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

See how precise messaging helps cut wasted spend, attract better prospects and give ad algorithms cleaner signals to optimize ...

With peak wildfire season underway in California, PG & E’s Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...