How strong is your knot?
With help from spaghetti and color-changing fibers, a new mathematical model predicts a knot’s stability.
With help from spaghetti and color-changing fibers, a new mathematical model predicts a knot’s stability.
New control system may enable humanoid robots to do heavy lifting and other physically demanding tasks.
Physicists simulate critical “reheating” period that kickstarted the Big Bang in the universe’s first fractions of a second.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
MIT engineers develop a model that predicts how the cornstarch-water mixture turns from liquid to solid, and back again.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.
Two longtime friends explore how computer vision systems go awry.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.