Computer Science and Artificial Intelligence Laboratory (CSAIL)
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens.
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic.
Student committee delivers interactive conference on microsystems and nanoscience.
History unfolds as an interdisciplinary research team uses computational tools to examine the contents of “locked” letters.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
The advance could boost recommendation algorithms and internet search.
Assistant professor adapts her laboratory class, Engineering Interactive Technologies, to the pandemic, with surprising results.