Machine-learning system tackles speech and object recognition, all at once
Model learns to pick out objects within an image, using spoken descriptions.
Helping computers fill in the gaps between video frames
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Artificial intelligence system uses transparent, human-like reasoning to solve problems
Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.
Smoothing out sketches’ rough edges
MIT-developed tool improves automated image vectorization, saving digital artists time and effort.
Taking machine thinking out of the black box
Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.
Design tool reveals a product’s many possible performance tradeoffs
Users can quickly visualize designs that optimize multiple parameters at once.
Artificial intelligence model “learns” from patient data to make cancer treatment less toxic
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors.
Holding law-enforcement accountable for electronic surveillance
CSAIL system encourages government transparency using cryptography on a public log of wiretap requests.
Automating molecule design to speed up drug development
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
An AI system for editing music in videos
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.
“Blind” Cheetah 3 robot can climb stairs littered with obstacles
Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
How to control robots with brainwaves and hand gestures
Computer Science and Artificial Intelligence Laboratory system enables people to correct robot mistakes on multiple-choice tasks.
Chip upgrade helps miniature drones navigate
Low-power design will allow devices as small as a honeybee to determine their location while flying.
Faster analysis of medical images
Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.
MIT engineers build smart power outlet
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.