Data center development has focused on massive projects for AI training in obscure locations. AI inference is pushing ...
Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...
FeatureMAP improves single-cell data analysis by preserving gene-level information within the underlying manifold structure. This enables more accurate identification of transitional cell states, ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
HIV-1 envelope glycoprotein (Env), a gp120–gp41 trimer, undergoes coordinated conformational changes that drive membrane fusion and allow immune evasion by transiently concealing ...
Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...