Artificial intelligence system learns concepts shared across video, audio, and text
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
FLC Excellence in Technology Transfer Award recognizes two innovations that have transitioned to commercial use.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
CIS research affiliate describes his goals in creating a webinar series exploring sustainable development in Africa.
MIT students Malik and Miles George gain attention on the video-sharing social network for their captivating, funny science videos.
Study uncovers overlooked environmental impacts of internet use by estimating associated carbon, land, and water footprints.
Several of the winning innovations apply artificial intelligence to solutions for challenges to national security.
Website, online tools will help MIT fulfill National Association of the Deaf lawsuit settlement terms.
A new computational imaging method could change how we view hidden information in scenes.
CSAIL system could help athletes, dancers, and others better analyze how they move.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Playful Learning Lab, founded by AnnMarie Thomas ’01, is collaborating with rock band OK Go to create hands-on PK-12 engineering experiences.
MIT professor directs award-winning rock musical “Bat Out of Hell.”