Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

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

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

This Perspective introduces the concept of multifactor authentication for extracellular vesicle (EV) analysis as an effective tool to resolve the heterogeneity problem that often confounds mechanistic ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of ...

Modern businesses run on data. Companies regularly capture, store and analyze large amounts of quantitative and qualitative data on consumer behavior, to which they can apply predictive analytics to ...