RSS Pioneers is an intensive workshop for senior PhD students and early career researchers in the robotics community. Held in conjunction with the main Robotics: Science and Systems (RSS) conference, each year the RSS Pioneers brings together a cohort of the world’s top early-career researchers.
Imagine developing a finer control knob for artificial intelligence (AI) applications like Google Gemini and OpenAI ChatGPT. Mikhail Belkin, a professor with UC San Diego’s Halıcıoğlu Data Science Institute (HDSI) – part of the School of Computing, Information and Data Sciences (SCIDS) – has been working with a team that has done just that. Specifically, […]
The IEEE Information Theory Society Thomas M. Cover Dissertation Award is awarded annually to the author of an outstanding doctoral dissertation. Neha Sangwan has been selected as the recipient of the 2025 Thomas M. Cover Dissertation Award for her dissertation entitled “Communication with Byzantine Users”. This award is given annually to the author of an […]
All presentations from last week’s Horizons for Optimization in AI Workshop are now available to view!
Researchers at the University of California San Diego and other institutions are working on a way to make a type of artificial intelligence (AI) called diffusion models—a type of AI that can generate new content such as images and videos by training on large datasets—more efficient and widely applicable. Currently, diffusion models work by making […]
TILOS Networks Team co-lead Alejandro Ribeiro, a professor in the departments of electrical & systems engineering and computer & information science at University of Pennsylvania, has been named the Solomon and Sylvia G. Charp Professor of Electrical and Systems Engineering.
TILOS Foundations team member Mikhail (Misha) Belkin is working toward a better understanding of how AI and generative AI models actually work. Belkin gave a talk at UC San Diego’s Generative AI Summit arguing that a method known as recursive feature machines—essentially an algorithm that selects features within neural networks and their training sets—is the […]
Congratulations to the Sloan Research Fellows of 2025, who represent the most promising early-career scientists working today. Their achievements and potential place them among the next generation of scientific leaders in the U.S. and Canada.
Engineering and medical researchers at Penn have developed a groundbreaking framework that can determine the best and most computationally optimized distribution strategy for COVID-19 vaccinations in any given community. Published in PLOS One, this study addresses one of the most critical challenges in pandemic response—how to prioritize vaccination efforts in communities with individuals of different […]
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 population complexity to determine the […]
