The TILOS mission is to make impossible optimizations possible, at scale and in practice. Our research will pioneer learning-enabled optimizations that transform chip design, robotics, networks, and other use domains that are vital to our nation’s health, prosperity, and welfare.
TILOS is a National Science Foundation funded National Artificial Intelligence (AI) Research Institute.
TILOS-SDSU Seminar: Challenging Estimation Problems in Vehicle Autonomy
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TILOS Seminar with Surbhi Goel of University of Pennsylvania
Surbhi Goel, University of Pennsylvania
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TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning
LEARN MORE >TILOS Seminar with Petar Veličković of Google DeepMind
Petar Veličković, Google DeepMind
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Penn researchers develop optimized framework for COVID-19 vaccination distribution
The research team, comprised of Saswati Sarkar, Professor in Electrical and Systems Engineering (ESE), Shirin Saeedi Bidokhti, Assistant Professor in ESE, Harvey Rubin, a practicing physician at Penn Medicine and Professor of Infectious Diseases, and ESE doctoral student Raghu Arghal, designed their framework to be able to account for enough…
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Construction robot researchers target dangerous and dirty jobs
Research to remotely pilot robots and improve how the machines model construction environments is well underway at UC San Diego. The team, led by electrical and computer engineering professors Truong Nguyen and Nikolay Atanasov, is looking for ways to integrate robotics into the construction industry and improve the 3D models…
Read MoreTILOS Faculty Affiliate Rose Yu honored with Presidential Early Career Award for Scientists and Engineers
The Presidential Early Career Award for Scientists and Engineers (PECASE) is the highest honor bestowed by the U.S. government on outstanding scientists and engineers early in their careers. PECASE recognizes scientists and engineers who show exceptional potential for leadership early in their research careers. The award recognizes innovative and far-reaching…
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Researchers tap robots for the dirty, dull and dangerous
UC San Diego Today || Dirty, dull and dangerous: these are the types of jobs most fit for robotization. Yet, equipping robots to navigate dynamic environments and perform complex tasks is a tall order — even more so in the construction industry. University of California San Diego Electrical and Computer…
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