How ride-sharing can improve traffic, save money, and help the environment
Study shows carpooling apps could reduce congestion by a factor of three while still serving the same number of people.
Study shows carpooling apps could reduce congestion by a factor of three while still serving the same number of people.
Preserving variety in subsets of unmanageably large data sets should aid machine learning.
Technique shrinks data sets while preserving their fundamental mathematical relationships.
System correlates recorded speech with images, could lead to fully automated speech recognition.
Machine-learning system doesn’t require costly hand-annotated data.
Machine-learning system spontaneously reproduces aspects of human neurology.
Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.
“Information extraction” system helps turn plain text into data for statistical analysis.
Self-driving scooter demonstrated at MIT complements autonomous golf carts and city cars.
New training technique would reveal the basis for machine-learning systems’ decisions.
New model-fitting technique is efficient even for data sets with hundreds of variables.
Combining cellphone data with perceptions of public spaces could help guide urban planning.
Senior Sarah Hensley aims to improve Earth's most advanced humanoid robot, in advance of its trip to the Red Planet.
Tuka Al-Hanai and Mohammad Ghassemi have connected over 500 MIT students for more than 1,000 lunch meetings.