We don't need to keep up with our kids' changing lingo. Listening to the concerns, emotions, and desires that underlie the ...

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

Think of them like different gears in a car. The i3 is like first gear – good for basic tasks. The i5 is like second or third ...

This review examines how next-generation protein sequencing and analysis technologies are expanding proteomics beyond the ...

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...

ABSTRACT: This study explores the intrinsic connection between cultural heritage preservation and library reading promotion. The paper begins by outlining the significance of cultural heritage ...

Each discipline involves athletes hurtling down a slippery track with hopes of crossing the finish line with the fastest time. However, there are significant differences between each sport. Here's a ...

Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...