“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
All promotions and appointments will take effect July 1, 2025.
How AI is improving simulations with smarter sampling techniques
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
Modeling relationships to solve complex problems efficiently
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.
The dedicated teacher and academic leader transformed research in computer architectures, parallel computing, and digital design, enabling faster and more efficient computation.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
Department of EECS Announces 2024 Promotions
Adam Belay, Manya Ghobadi, Stefanie Mueller, and Julian Shun are all being promoted to associate professor with tenure.
The Institute also ranks second in five subject areas.
Department of EECS Announces 2024 Promotions
The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.