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

Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.

Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.

MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.

Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.

System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.

Recurrent processing via prefrontal cortex, necessary for quick visual object processing in primates, provides a key insight for developing brain-like artificial intelligence.

Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.

MIT researchers release the Synthetic Data Vault, a set of open-source tools meant to expand data access without compromising privacy.

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.