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.
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.
Engineers enlist AI to help scale up advanced solar cell manufacturing
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
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.
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.
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.
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.
Improving predictions of sea level rise for the next century
Brent Minchew leads two proposals to better understand glacial physics and predict sea-level rise as part of MIT's Climate Grand Challenges competition.