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

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State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.

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