Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

B, an open-source AI foundation model that predicts Alzheimer's risk with 4x higher accuracy using multi-omic data.

The brain predicts the past and learns from prediction errors—unless it's overwhelmed. A little uncertainty is good; a lot is ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Researchers developed an AI tool that analyzes routine medical records to predict a child's ADHD risk by age 5, years before ...

Vibe coding companies — including these six — are picking up big money and even some controversy. Lovable, Cursor, and Replit are seeing valuations soar even as competition grows. The space has seen ...

A new study in Nature Human Behavior shows that brain connections often dismissed as 'noise' during neuroimaging can predict behavior as accurately as the strongest connections. Researchers analyzed ...

Apparent neural encoding of future words may arise from the statistical structure of language itself, rather than from predictive computations in the brain.

Learning underlies cognitive development and reshapes the brain. Understanding this process is critical for supporting learners and developing effective teaching strategies. This Collection welcomes ...

Our brains don’t just receive sensory input—they actively interpret, reshape, and even fill in missing details to create our perception of reality. From detecting sound patterns to seeing illusions, ...