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

Abstract: Motivated by the application of point-to-point communication networks and biological storage, we investigate new achievability bounds for noisy permutation channels with strictly positive ...

Abstract: The integration of Artificial Intelligence (AI) in education has shown promising potential to enhance learning experiences and provide personalized assistance to students. However, existing ...

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