Robot learns to follow orders like Alexa
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
CSAIL’s “Interactive Robogami” lets you design and 3-D print origami-inspired robots from 2-D designs.
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.
System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Method for modeling neural networks’ power consumption could help make the systems portable.
Method for designing efficient computer chips may get miniature smart drones off the ground.
Density of highly educated residents, rather than income or housing costs, predicts revitalization.
New technique helps elucidate the inner workings of neural networks trained on visual data.
Machine learning approach could aid the design of industrial processes for drug manufacturing.
New book by Andrew McAfee and Erik Brynjolfsson surveys tech’s challenges for business.
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars.
Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.
Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.
CSAIL PhD student creates immersive media to help users understand each other’s backgrounds and feelings.