Improving the way videos are organized
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
With just 50 lines of code, the program spots and fixes likely errors.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
“Programmable matter” technique could enable product designers to churn out prototypes with ease.
Computer models that mimic humans’ extraordinary hearing abilities could improve treatments for hearing loss.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
New publishing model provides unique and timely solutions to the production, curation, and preservation of knowledge.
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.