Robot learns to follow orders like Alexa
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
Custom robots in a matter of minutes
CSAIL’s “Interactive Robogami” lets you design and 3-D print origami-inspired robots from 2-D designs.
Using machine learning to improve patient care
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.
Automatic image retouching on your phone
System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Bringing neural networks to cellphones
Method for modeling neural networks’ power consumption could help make the systems portable.
Miniaturizing the brain of a drone
Method for designing efficient computer chips may get miniature smart drones off the ground.
Why do some neighborhoods improve?
Density of highly educated residents, rather than income or housing costs, predicts revitalization.
Peering into neural networks
New technique helps elucidate the inner workings of neural networks trained on visual data.
Q&A: Running a company in an era of “crazy technological progress”
New book by Andrew McAfee and Erik Brynjolfsson surveys tech’s challenges for business.
Computer system predicts products of chemical reactions
Machine learning approach could aid the design of industrial processes for drug manufacturing.
Drones that drive
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars.
MIT President Reif attends White House technology meeting
Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.
Shrinking data for surgical training
Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.
Danielle Olson: Building empathy through computer science and art
CSAIL PhD student creates immersive media to help users understand each other’s backgrounds and feelings.