A new state of the art for unsupervised computer vision
MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.
MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
Admired teacher and mentor was a longtime member of the Laboratory for Electromagnetic and Electronic Systems and the High Voltage Research Laboratory, and champion of the VI-A Internship program.
MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
The program’s inaugural honoree, Professor Mohamed H. A. Hassan, president of the World Academy of Sciences, recently visited MIT.
A new platform will unite climate models, impact predictions, random control trial evaluations, and humanitarian services to bring cutting-edge tools to Bangladeshi communities.
A Climate Grand Challenges flagship project aims to reduce agriculture-driven emissions while making food crop plants heartier and more nutritious.
Mechanical engineers put an Oreo’s cream filling through a battery of tests to understand what happens when two wafers are twisted apart.
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
To better inform local policy in the face of changing weather extremes, MIT researchers seek to advance the modeling of long-term weather risks.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.
The Center for Electrification and Decarbonization of Industry unites MIT climate researchers to create scalable clean energy solutions under one roof.
The system could provide teleoperated endovascular treatment to patients during the critical time window after a stroke begins.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.