In an analysis of over 160,000 transplant candidates, researchers found that race is linked to how likely an organ offer is to be accepted on behalf of a patient.

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.

Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.

But a new study shows how advanced steelmaking technologies could substantially reduce carbon emissions.

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

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.

With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.

The Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.

Researchers share the design and implementation of an incentive-based Space Sustainability Rating.