New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Artificial Intelligence
Translating proteins into music, and back
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
Want to learn how to train an artificial intelligence model? Ask a friend.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Toward artificial intelligence that learns to write code
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
Algorithm tells robots where nearby humans are headed
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
New 3-D printing approach makes cell-scale lattice structures
System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
“Particle robot” works as a cluster of simple units
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Exercises in amazement: Discovering deep learning
A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.