Advances in computing and artificial intelligence (AI) are changing our world at a rapid—and accelerating—pace. As we prepare for a future where AI and machine learning are deeply…
Presentations from some of MIT’s most inspiring students, researchers, and faculty. We’ll hear curated presentations on themselves and their research followed by live Q&A! To learn more please…
The Institute also ranks second in two subject areas.
Sixteen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.