The AI model in news offers deeper insight into protein-to-protein talk, advancing innovation in understanding mutations, ...

RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change ...

The question is not whether you need to evolve your executive communication. It is whether you will do it before 2026 makes ...

Biology Letters study shows that bumblebees can be trained to differentiate between long and short light flashesResearchers at Queen Mary University ...

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

Discover the U.S. brain health supplement enhancing memory, focus & mental clarity with a clean-label nootropic formula. Neuro Sharp Neuro Sharp New York City, NY, Nov. 10, 2025 (GLOBE NEWSWIRE) -- ...

A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain's language system.

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...

The Otter Valley Unified Union School Board said Tuesday it could be interested in county-wide redistricting conversations if there is participation from other area boards. The decision, made at the ...

Adenomyosis, marked by ectopic endometrial tissue, lacks effective models. Xu et al. develop an assembloid model replicating hormone responses and adenomyosis features. Single-cell analysis and ...

Hi, thanks for your great work! When I try to use ImageOpenCLIPConvNext for encoding images and then feed the extracted features into the decoder MultiLevelDConv(level=4, in_ch1=[384, 768, 1536], ...