Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
Serena Booth Abstract: The learned behaviors of AI systems and robots should align with the intentions of their human designers. In service of this goal, people—especially experts—must be…
Eric H. Atkinson Abstract: Computer systems are increasingly deployed in partially-observable environments, in which the system cannot directly determine the environment’s state but receives partial information from observations.…
With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The effort aims to transform micronutrient dosing to children by harnessing the power of data.
Rujian Chen Thesis Supervisor: Dr. John W. Fisher III