A basis for all cryptography
A tool that would provide a secure foundation for any cryptographic system may be close at hand.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Download RSS feed: News Articles / In the Media / Audio
Faster optimization
New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems.
Automating big-data analysis
System that replaces human intuition with algorithms outperforms 615 of 906 human teams.
Predicting change in the Alzheimer’s brain
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.
More-flexible machine learning
Giving machine-learning systems “partial credit” during training improves image classification.
Soft robotic hand can pick up and identify a wide array of objects
Team from Computer Science and Artificial Intelligence Lab develops silicone rubber gripper and advanced object-identification algorithms.
Learning language by playing games
System learns to play text-based computer game using only linguistic information.
Personalized heart models for surgical planning
System can convert MRI scans into 3D-printed, physical models in a few hours.
Learning spoken language
System learns to distinguish words’ phonetic components, without human annotation of training data.
First new cache-coherence mechanism in 30 years
More efficient memory-management scheme could help enable chips with thousands of cores.
CSAIL joins with Toyota on $25 million research center for autonomous cars
Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems.
Customizing 3-D printing
Design tool lets novices do in minutes what would take experts in computer-aided design hours.
Self-driving golf carts
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
Searching big data faster
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
UAVs learn to fly solo
Nick Roy develops unmanned aerial vehicles that can operate autonomously in constrained spaces and unmapped environments.