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

Data from more than 15,000 ancient people reveal natural selection of hundreds of genes linked to immunity, skin tone, ...

Learning a second language is becoming increasingly popular worldwide, with millions of people turning to digital tools and ...

Abstract: Recent empirical studies show three phenomena with increasing size of language models: compute-optimal size scaling, emergent capabilities, and performance plateauing. We present a simple ...