Estimating the informativeness of data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
A new state of the art for unsupervised computer vision
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.
Anticipating others’ behavior on the road
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
A flexible way to grab items with feeling
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
Looking forward to forecast the risks of a changing climate
To better inform local policy in the face of changing weather extremes, MIT researchers seek to advance the modeling of long-term weather risks.
Learning to think critically about machine learning
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
MIT Schwarzman College of Computing unveils Break Through Tech AI
New program strives to bridge the talent gap for underrepresented groups in the tech industry.
Computing our climate future
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.
MIT’s FutureMakers programs help kids get their minds around — and hands on — AI
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.
Manipulating the future
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.
An optimized solution for face recognition
When artificial intelligence is tasked with visually identifying objects and faces, it assigns specific components of its network to face recognition — just like the human brain.
QS World University Rankings rates MIT No. 1 in 12 subjects for 2022
The Institute also ranks second in two subject areas.
Does this artificial intelligence think like a human?
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.
Bringing together the next generation of quantum coders
MIT iQuHACK gave teams from across the country time and experience on real quantum computers.
Robots dress humans without the full picture
MIT researchers design a robot that has a trick or two up its sleeve.