Predicting people's driving personalities
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Department
Electrical Engineering and Computer Science
Improbability Walk at MIT.nano honors Mildred Dresselhaus
Courtyard space celebrates beloved professor’s research and mentorship.
Sixteen grad students named to the Siebel Scholars class of 2020
MIT students from the fields of bioengineering, business, computer science, and energy science receive the prestigious awards.
Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
MIT.nano announces the Mildred S. Dresselhaus Lectures
Cornell University’s Paul McEuen will inaugurate series to honor beloved MIT professor.
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.
Better autonomous “reasoning” at tricky intersections
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
What makes an image memorable? Ask a computer
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Drawn to open-ended problems
Whether racing cross country or teaching coding in rural schools, senior Billy Woltz relishes experimentation and creative thinking.
Self-transforming robot blocks jump, spin, flip, and identify each other
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
Helping autonomous vehicles see around corners
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Pushy robots learn the fundamentals of object manipulation
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Fireside chat with Don Eigler wraps up MIT.nano “Perspectives in Nanotechnology” seminars
Series featured five experts who played seminal roles in understanding the nanoscale.
Deep learning with point clouds
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Two from MIT elected to the National Academy of Medicine for 2019
Sangeeta Bhatia and Richard Young recognized for their contributions to “advancement of the medical sciences, health care, and public health.”