PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
The series aims to help policymakers create better oversight of AI in society.
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Founded in 2019, The EECS Alliance program connects industry leading companies with EECS students for internships, post graduate employment, networking, and collaborations. In 2023, it has grown to include over 30 organizations that have either joined the Alliance or participate in its flagship program, 6A.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
This ongoing listing of awards and recognitions won by our faculty is added to all year, beginning in September.