The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions.
The MIT senior will pursue graduate studies in technology policy at Cambridge University.
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.
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.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.