Bertsekas’s research spanned, and had a major influence upon, several fields, including optimization, control, large-scale computation, reinforcement learning, and artificial intelligence.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
David Alexander Bruns-Smith
Assistant Professor, shared appointment with MIT Sloan School of Management, [AI+D]
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
Location: Room 34-401A (Grier Room A) Zoom: https://mit.zoom.us/j/93930155446?pwd=deWNA2lxU0KrlsNsIqc9g44TxtJtDM.1 Presenter: Avik Pal Thesis Title: Performance Portable Scientific Computing through Multi-Level Compiler Optimizations Thesis Abstract: Scientific computing faces a trade-off between…
MIT researchers developed a way to identify the smallest dataset that guarantees optimal solutions to complex problems.
Bailey Flanigan
Assistant Professor, shared appointment with Political Science, Theodore T. Miller (1922) Career Development Professor [CS]
Office: 53-437 and 45-501C
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,…
All promotions and appointments will take effect July 1, 2025.