Beaver Works Summer Institute concludes its fourth year
Students wow visitors with a flurry of races and demonstrations during the program's signature final event.
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Optimus Ride’s autonomous system makes self-driving vehicles a reality
MIT startup’s unique approach to improving human mobility is helping it gain traction in a competitive landscape.
Eight from MIT honored in 2019 Technology Review 35 Innovators Under 35
Eight postdocs and alumni are among those named to the list.
Guided by AI, robotic platform automates molecule manufacture
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Computer-aided knitting
New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.
Seeking new physics, scientists borrow from social networks
Technique can spot anomalous particle smashups that may point to phenomena beyond the Standard Model.
E14 Fund helps Media Lab community deploy startups
“First and foremost we’re a community-builder,” says Habib Haddad, a managing partner of the venture fund.
Tekuma Frenchman designs new marine city in China
School of Architecture and Planning alumni and faculty team up to create an ecologically restorative urban waterfront.
Celebrating a curious mind: Steven Keating 1988-2019
Steven Keating SM'12, PhD '16 inspired millions with his research-driven approach to battling cancer and his advocacy for open patient health data.
Prime Minister Mark Rutte of the Netherlands tours MIT
Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.
Automated system generates robotic parts for novel tasks
When designing actuators involves too many variables for humans to test by hand, this system can step in.
Artificial “muscles” achieve powerful pulling force
New MIT system of contracting fibers could be a boon for biomedical devices and robotics.
IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Machine learning for everyone
A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.