“AI for Impact” lives up to its name
Entrepreneurship class MAS.664 launches businesses with a global reach.
Entrepreneurship class MAS.664 launches businesses with a global reach.
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
Dina Katabi and Aleksander Madry receive additional support to pursue their research and develop their careers.
The alumni-founded startup Uncountable has developed a digital workbook to help scientists get more out of experimental data.
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.
MIT researchers train a neural network to predict a “boiling crisis,” with potential applications for cooling computer chips and nuclear reactors.
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.
Faculty from the departments of Physics and of Nuclear Science and Engineering faculty were selected for the Early Career Research Program.
Alumni of the MIT New Engineering Education Transformation Program (NEET) worked together remotely from across the globe to design thinking machines.
Selective global honor supports early-career scientists and engineers in taking on new pursuits.
A new art/science collaboration uses molecular structures as its creative medium.