TILOS is a partnership of faculty from University of California, San Diego, Massachusetts Institute of Technology, National University, University of Pennsylvania, University of Texas at Austin, and Yale University.
TILOS will pioneer learning-enabled optimizations that transform chip design, robotics, communication networks, and other domains vital to our nation’s health, prosperity, and welfare. Foundational research will pursue five main pillars:
- Bridging discrete and continuous optimization.
- Distributed, parallel, and federated optimization.
- Optimization on manifolds.
- Dynamic decisions under uncertainty.
- Nonconvex optimization in deep learning.
Faster computer chip design. Wireless networks with greater energy efficiency. Self-driving cars that interact better with pedestrians and with one another. These are among the advances expected to emerge from a new institute led by the University of California San Diego that is focused on Artificial Intelligence (AI) and optimization. The institute for Learning-enabled Optimization at Scale, or TILOS, is funded by a grant from the National Science Foundation. The Institute is housed at the Halicioglu Data Science Institute (HDSI), UC San Diego’s hub for data science and artificial intelligence.
