A. Michael West: Advancing human-robot interactions in health care
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.
A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.
The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
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.
With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.
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.