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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Abstract: Compared to integer quantization, logarithmic quantization aligns more effectively with the long-tailed distribution of data in large language models (LLMs), resulting in lower quantization ...

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InP and SiPho join CMOS as critical technologies. Lasers, CPO and OCS will be everywhere (indium phosphide, silicon photonics ...