Providing hands-on photonics education across Massachusetts
MIT’s LEAP at MIT.nano is the first in a network to advance manufacturing for the state.
MIT’s LEAP at MIT.nano is the first in a network to advance manufacturing for the state.
MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
Admired teacher and mentor was a longtime member of the Laboratory for Electromagnetic and Electronic Systems and the High Voltage Research Laboratory, and champion of the VI-A Internship program.
MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
New program strives to bridge the talent gap for underrepresented groups in the tech industry.
The NCSOFT-sponsored program will advance cutting-edge technologies for gaming and data visualization.
A new robotic manipulation course provides a broad survey of state-of-the-art robotics, equipping students to identify and solve the field’s biggest problems.
Su is the first MIT alumna to make a gift for a building that will bear her own name.
The Institute also ranks second in two subject areas.
A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.
MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.