How do humans make remarkable decisions with limited data and computing power—and what can that efficiency teach us about AI?

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at ...

The changing use of the word algorithm reflects this enhanced visibility. In fact, the meaning of this word has changed ...

Just a decade ago, it was nothing more than the dream of scientists in the lab. Recent advances by IBM, IonQ, Nvidia, and ...

IntroductionWhen it comes to V2G and smart charging, interest often centers on the sophistication of control algorithms.

Previously, determining how efficiently quantum processes could be simulated lacked definitive theoretical limits. Now, ...

Previously requiring up to n^(O(log n)) computation time, accurate estimation of probabilities from even complex ...

Agentic AI (i.e., AI systems capable of taking multistep actions on a planner’s behalf rather than simply producing a single ...

With a new platform called Who Eats Whom, citizen scientists reveal the fascinating, sometimes shocking interactions between species.

Compared to humans, language models like GPT-4 are highly optimistic about the creation of human-level AI. Researchers ...

Throughout my early medical education in the Deep South, race was ever-present, shaping the way we were taught to diagnose, ...

The retail jobs of the future are oft-debated, but the industry looks to be entering an era primed for the arrival of the chief AI officer.