Driving toward a healthier planet
Materials Day speaker Brian Storey describes how the Toyota Research Institute is embracing machine learning to advance the use of electric vehicles.
Materials Day speaker Brian Storey describes how the Toyota Research Institute is embracing machine learning to advance the use of electric vehicles.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.
MIT team places first among U.S. universities at 2019 SpaceX Hyperloop Pod Competition.
Study finds that in some locations, lightweight gas-powered cars could have a bigger emissions-reducing impact than electric ones.
MIT spinout Superpedestrian has developed a smart electric scooter to improve urban mobility.
Teams were scored on speed, construction, performance, and financial planning at one of the world’s largest student engineering competitions.
MIT startup’s unique approach to improving human mobility is helping it gain traction in a competitive landscape.
In “semiautonomous” cars, older drivers may need more time to take the wheel when responding to the unexpected.
School of Architecture and Planning alumni and faculty team up to create an ecologically restorative urban waterfront.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
At the annual MIT Ship Design and Technology Symposium, naval construction and engineering students presented their work on real-life naval design projects.
Urban studies research from MIT sheds light on the ways low-income riders use mass transit.