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: This paper aims to provide a comparative analysis of low-power design methods for the implementation of the Arithmetic Logical Unit using Fin- Field Effective Transistor. The study evaluates ...

With the integration of machine learning techniques into the medical field, there has been a sea change in the last couple of years, and a new era of innovation seems to usher in precision healthcare ...