CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
This new approach could lead to enhanced AI models for drug and materials discovery.
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
Doctoral Thesis Title: Programmable Architectural Support for Diverse Sparse WorkloadsPresenter: Hyun Ryong “Ryan” LeePresenter’s Affiliation (CSAIL, RLE, LIDS, MTL, etc.): CSAILThesis Supervisor(s): Daniel Sanchez Date: 07/25/2025Time: 1PM Location if…
Name:Samuel Tenka Time:Wednesday, June 18, 4pm Room: 4-257 Zoom: https://mit.zoom.us/j/96397133905Password: cohobast Title: Geometric Aspects of Optimization and Representation in Learning Abstract: Machine learning combines methods in optimization, data-representation,…
Thesis Title: Next Generation Operating Systems for the Datacenter Presenter: Josh Fried Presenter’s Affiliation: CSAIL Thesis Supervisor: Adam Belay Date: April 1, 2025 Time: 3PM Location: 32-G882 (Hewlett)…
All promotions and appointments will take effect July 1, 2025.
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.