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

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

For creators working on storyboards or brand campaigns, the most impactful new feature is the ability to generate up to eight ...