Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.

The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Today’s supercomputers are enormously powerful, but the work they do − running AI and tackling difficult science − is pushing them to their limits. Building bigger supercomputers won’t be easy.

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.

Suppose the law of gravity is simply a byproduct of the universe operating under a computer-like code.