Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
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 ...
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
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Hackers used Claude and ChatGPT to steal hundreds of millions of Mexican government records
A group of hackers used both Claude Code and ChatGPT in a cybersecurity hack that lasted two and a half months.
Anthropic's new flagship model Claude Opus 4.7 beat every benchmark we threw at it, and eats tokens like a hungry teenager.
Understanding The Robotics Landscape The Current State of Robotics Robots aren’t just science fiction anymore; they’re ...
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