US Air Force pilots get an artificial intelligence assist with scheduling aircrews
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.
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.
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
How a pair of MIT Sloan Executive Education alumni translated teachings from an MIT course to operations improvements at Mexico’s largest brewery.
Math professor Ankur Moitra seeks algorithms with provable guarantees, to pin down the mechanisms of machine learning.
Technology solutions to climate change, disaster response, and global health challenges are up for discussion in a new Lincoln Laboratory lecture series.