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.
MIT announces five flagship projects in first-ever Climate Grand Challenges competition
The portfolio of multiyear projects focuses on delivering breakthrough solutions.
Q&A: Climate Grand Challenges finalists on using data and science to forecast climate-related risk
Faculty leaders highlight innovations that can close longstanding knowledge gaps and reimagine how the world responds to the climate crisis.
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.
Study reveals the dynamics of human milk production
A new analysis shows how milk-producing cells change over time in nursing mothers.
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.
Dan Huttenlocher ponders our human future in an age of artificial intelligence
For the MIT Schwarzman College of Computing dean, bringing disciplines together is the best way to address challenges and opportunities posed by rapid advancements in computing.
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.
Solving the challenges of robotic pizza-making
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.