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.
System helps severely motor-impaired individuals type more quickly and accurately
For individuals who communicate using a single switch, a new interface learns how they make selections, and then self-adjusts accordingly.
Generating new molecules with graph grammar
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.
Fighting discrimination in mortgage lending
A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.
Q&A: Alberto Rodriguez on teaching a robot to find your keys
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.
New program bolsters innovation in next-generation artificial intelligence hardware
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.