TILOS
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About
TILOS is a U.S. National Science Foundation Institute for Learning-enabled Optimization at Scale, funded by NSF and Intel. Its mission is to be the nexus of learning, optimization, and practice in chips, networks, and robotics. As a partnership of faculty from UC San Diego, MIT, National University, UPenn, UT Austin, and Yale, NSF TILOS pioneers learning-enabled optimizations for domains vital to national health and welfare. Its foundational research focuses on bridging discrete and continuous optimization, distributed/parallel/federated optimization, optimization on manifolds, dynamic decisions under uncertainty, and nonconvex optimization in deep learning.
Platform
Task
Features
• nonconvex optimization in deep learning
• dynamic decision-making under uncertainty
• distributed & federated optimization
• bridging discrete & continuous optimization
• communication networks research
• robotics systems optimization
• chip design advancements
• learning-enabled optimization
Pricing Plans
Open Research
Free Plan• Access to research publications
• Participation in seminars and workshops
• Opportunities for academic collaboration
• Contributions to open-source initiatives
Job Opportunities
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