Materials Day talks examine the promises and challenges of AI and machine learning
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
Grad student Brandon Leshchinskiy created EarthDNA Ambassadors, an outreach program “for the Earth, for future generations.”
Coating particles with “right-handed” molecules could help them penetrate cancer cells more easily.
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Envisioning the future (and challenges) of designing affordable technology-enabled mobility devices.
MIT and University of Colorado researchers are collaborating on an experiment to be sent to the International Space Station.
Whether racing cross country or teaching coding in rural schools, senior Billy Woltz relishes experimentation and creative thinking.
New control system may enable humanoid robots to do heavy lifting and other physically demanding tasks.
Passive device relies on a layer of material that blocks incoming sunlight but lets heat radiate away.
New adhesive that binds wet surfaces within seconds could be used to heal wounds or implant medical devices.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
Barret Schlegelmilch ’18 takes part in simulated NASA mission to the Martian moon Phobos.