Some people can drop a task midstream, respond to a curveball, and then slide back into deep focus with barely a hitch.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Brian P. Lazzaro from Cornell University discusses the role of dynamic feedbacks in determining infection outcomes ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

Randomness inside cells can decide whether a cancer returns after chemotherapy or whether an infection survives antibiotics.