Expanding the Use and Scope of AI Diffusion Models

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 […]

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Exploring the Impact of Generative AI on Education, Research and More

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 […]

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Who to Vaccinate First? Penn Engineers Answer a Life-or-Death Question with Network Theory

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 […]

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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 population complexity to determine the […]

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