Using LLMs to convert machine-learning explanations into readable narratives could help users make better decisions about when to trust a model.

The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.

Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation.

MIT engineers show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.

MIT chemical engineers designed an environmentally friendly alternative to the microbeads used in some health and beauty products.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

MIT chemical engineers have devised a way to capture methane, a potent greenhouse gas, and convert it into polymers.

Researchers propose a simple fix to an existing technique that could help artists, designers, and engineers create better 3D models.

The new balloon can be expanded before a meal to prevent overeating, then deflated when no longer needed.

This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.