An easier way to teach robots new skills
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
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.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
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.
MIT researchers design a robot that has a trick or two up its sleeve.
A new analysis shows how milk-producing cells change over time in nursing mothers.
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
“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.
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.