A new material developed by MIT engineers exhibits “record-breaking” vapor absorption.

Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.

The new findings could explain biodiversity hotspots in tectonically quiet regions.

The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.

The bioderived “smart sutures” could help patients heal after bowel resection or other types of surgery.

MIT and Harvard Medical School researchers mapped out many of the cells, genes, and cellular pathways that are modified by exercise or high-fat diet.

Using a new robotic platform, researchers can simultaneously track hundreds of microbial populations as they evolve new proteins or other molecules.

The existential threat of COVID-19 has highlighted an acute need to develop working therapeutics against emerging health threats. One of the luxuries deep learning has afforded us is the ability to modify the landscape as it unfolds -- so long as we can keep up with the viral threat, and access the right data.