Translating proteins into music, and back
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
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.
System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.
Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.