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.
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.
Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
Computer Science and Artificial Intelligence Laboratory system enables people to correct robot mistakes on multiple-choice tasks.
Low-power design will allow devices as small as a honeybee to determine their location while flying.
Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
PhD candidate and Amazon Robotics Challenge winner Maria Bauza helps to improve how robots interact with the world.
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.
Algorithm provides networks with the most current information available while avoiding data congestion.
Mechanical engineering researchers are using AI and machine learning technologies to enhance the products we use in everyday life.
With novel system, data scientists can analyze massive networks without the need for power-hungry servers.
Activity simulator could eventually teach robots tasks like making coffee or setting the table.
New dispatching approach could cut the number of cars on the road while meeting rider demand.
Algorithm computes “buffer zones” around autonomous vehicles and reassess them on the fly.