<span class="vcard">Steve Nadis | MIT CSAIL</span>
Steve Nadis | MIT CSAIL
Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS machine learning MIT Schwarzman College of Computing Research School of Engineering

How symmetry can come to the aid of machine learning

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Health sciences and technology Human-computer interaction machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Social justice Technology and society

How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

Artificial Intelligence Biological engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Covid-19 Electrical Engineering & Computer Science (eecs) Immunology machine learning Medicine MIT Schwarzman College of Computing Pandemic Research School of Engineering Technology and society Vaccines Viruses

Creating a versatile vaccine to take on Covid-19 in its many guises

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.