Data center development has focused on massive projects for AI training in obscure locations. AI inference is pushing ...

Distinct cerebellar projections to the forebrain differentially support acquisition and offline consolidation of a motor skill engaging cerebello-striato-cortical circuits, revealing the temporal and ...

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 ...

Google's Ironwood TPU is live with 4.6 petaFLOPS per chip. Its eighth-gen splits into two: Broadcom for training, MediaTek for inference, both at 2nm in late 2027 ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

HIV-1 envelope glycoprotein (Env), a gp120–gp41 trimer, undergoes coordinated conformational changes that drive membrane fusion and allow immune evasion by transiently concealing ...

The rush to build and finance AI data centers has created a new kind of stress for CFOs at companies developing them. Some ...

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 ...