Creating “digital twins” at scale
Model could help predictive virtual models become standard practice in engineering.
Model could help predictive virtual models become standard practice in engineering.
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
Visualization software and hardware could offer new possibilities for coaching and sports training.
Society for Industrial and Applied Mathematics recognizes Kepner, a pivotal member of the team that established Lincoln Laboratory's Supercomputing Center, for his innovative work in computing.
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.