Algorithm reduces use of riskier antibiotics for UTIs

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

Adam Conner-Simons | Rachel Gordon | MIT CSAIL • mit
Nov. 5, 2020 ~7 min

Using machine learning to track the pandemic’s impact on mental health

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

Anne Trafton | MIT News Office • mit
Nov. 5, 2020 ~8 min

Testing sewage to home in on Covid-19

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

Scott Murray | Institute for Data, Systems, and Society • mit
Oct. 28, 2020 ~5 min

AI Cures: data-driven clinical solutions for Covid-19

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

Terri Park | MIT Schwarzman College of Computing • mit
Oct. 27, 2020 ~9 min

Stressed on the job? An AI teammate may know how to help

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

Kylie Foy | MIT Lincoln Laboratory • mit
Oct. 26, 2020 ~9 min

Translating lost languages using machine learning

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

Adam Conner-Simons | MIT CSAIL • mit
Oct. 21, 2020 ~5 min

Neural pathway crucial to successful rapid object recognition in primates

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

Alli Gold | School of Science • mit
Oct. 20, 2020 ~5 min

A global collaboration to move artificial intelligence principles to practice

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 Schwarzman College of Computing • mit
Oct. 19, 2020 ~5 min

The real promise of synthetic data

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

Laboratory for Information and Decision Systems • mit
Oct. 16, 2020 ~9 min

Machine learning uncovers potential new TB drugs

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

Anne Trafton | MIT News Office • mit
Oct. 15, 2020 ~7 min

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