World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A new review finds that AI is no longer being treated simply as a technical add-on for solar and wind prediction, but ...

The terrain of internet wagering has evolved considerably, with many UK punters seeking alternatives to traditional regulated platforms. These non-regulated betting platforms, typically known as non ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Data doesn’t persuade on its own. Structure your insights to show what’s working, what’s not, and what to do next.

NIST shifts National Vulnerability Database to risk-based triage as CVE submissions hit record levels - SiliconANGLE ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

In a recent experiment, researchers at UC Berkeley and UC Santa Cruz asked Google’s artificial intelligence model Gemini 3 to help clear up space on a computer system. This involved deleting a bunch ...

Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...