Autonomous innovations in an uncertain world
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
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.
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
MIT researchers investigate the causes of health-care disparities among underrepresented groups.
The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.