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.
Artificial Intelligence
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.
Robot hand is soft and strong
Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.
Combining artificial intelligence with their passions
Research projects show creative ways MIT students are connecting computing to other fields.
Computing the future
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.