The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.

Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.

Led by Assistant Professor Richard Teague, a team of international astronomers has released a collection of papers and public data furthering our understanding of planet formation.

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.

Postdoc Haoran Li describes how the Concrete Sustainability Hub is enabling accessible, fast, and robust pavement decision-making.