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.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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.
Study reveals the dynamics of human milk production
A new analysis shows how milk-producing cells change over time in nursing mothers.
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.
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.
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.
Security tool guarantees privacy in surveillance footage
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
3 Questions: How the MIT mini cheetah learns to run
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
When it comes to AI, can we ditch the datasets?
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Q&A: Climate Grand Challenges finalists on building equity and fairness into climate solutions
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
How to help humans understand robots
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
Four from MIT named Meta Fellows for 2022
The honorees include four MIT graduate students in electrical engineering and computer science, economics, and media arts and sciences.