Five CSAIL researchers named ACM fellows
The Association for Computer Machinery cites Devadas, Grimson, Morris, Rubinfeld, and Rus as having "provided key knowledge" to computing.
Can you out-race a computer?
Deep-learning algorithm can weigh up a neighborhood better than humans.
Fingertip sensor gives robot unprecedented dexterity
Equipped with a novel optical sensor, a robot grasps a USB plug and inserts it into a USB port.
Where to grab space debris
Algorithm tested aboard the International Space Station analyzes the rotation of objects in space.
An end to drug errors?
Mint Solutions tackles medication errors with scanning system that ensures patients get the right pills.
Extracting audio from visual information
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
Who did what?
Techniques from natural-language processing enable computers to efficiently search video for actions.
Never forget a face
New algorithm uses subtle changes to make a face more memorable without changing a person’s overall appearance.
Taking a new look at subway map design
CSAIL researchers are using a computational model that better understands peripheral vision to test the usability of MBTA subway maps.
Teaching computers to see — by learning to see like computers
By translating images into the language spoken by object-recognition systems, then translating them back, researchers hope to explain the systems’ failures.
Seeing the human pulse
An algorithm that can accurately gauge heart rate by measuring tiny head movements in video data could ultimately help diagnose cardiac disease.
Finding a gecko in the crowd
A combination of crowdsourcing and computer vision could identify individuals within endangered populations.
Is that smile real or fake?
A computerized system developed at MIT can tell the difference between smiles of joy and smiles of frustration.
The quantifier
By helping biologists turn their hunches into rigorous mathematical models, Polina Golland builds software that interprets medical images.
Putting the ‘art’ in artificial intelligence
CSAIL associate professor develops AI systems that can interpret images.