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

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

AIhub is excited to launch a new series, speaking with leading researchers to explore the breakthroughs driving AI and the ...

Linguists can mix, match or even break the rules of real-world languages to create interesting imaginary ones.

A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...

From Egypt to Indonesia, developers are building their own models to better reflect local languages and cultures.

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

The Chrome and Edge browsers have built-in APIs for language detection, translation, summarization, and more, using locally ...

On March 19, 2026, Slator published the Slator Data-for-AI Market Report, a 160-page report that analyzes the emerging global ...