Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.

Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.

Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.

A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.

Adding a module that mimics part of the brain can prevent common errors made by computer vision models.

What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.

Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.

MIT Task Force on the Work of the Future identifies ways to align new technologies with durable careers.

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.