Artificial intelligence in its most successful form -- things like ChatGPT or DeepMind's AlphaFold to predict proteins -- has been trapped in one conspicuously narrow dimension: The AI sees things ...

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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

More than any of the many headline achievements of artificial intelligence -- winning at chess, predicting the folding of proteins, labeling cats and dogs -- the form of AI known as generative AI has ...

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine learning has modestly improved predictions using brain MRI data, most studies ...

Additional oral presentations explore odronextamab in areas of high unmet need, including the primary analysis in diffuse large B-cell lymphoma progressing after CAR-T therapy and first results in ...

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...