CIS Seminar: “AI for Materials Discovery: Graphs, Language Models, and Agents”
Artificial intelligence (AI) is transforming scientific discovery, particularly in materials science, by accelerating the prediction and design of materials with desired properties. Traditional physics-based modeling of atomic systems is computationally […]
CIS Seminar: “Probabilistic Experimental Design for Petascale DNA Synthesis”
Generative modeling offers a powerful paradigm for designing novel functional DNA, RNA and protein sequences. In this talk, I introduce probabilistic experimental design methods to efficiently manufacture samples from generative […]
CIS Seminar: “Next Generation Operating Systems for the Cloud”
Modern datacenters must handle an ever-growing array of real-time and data-intensive workloads, such as interactive web services and AI models, that demand both low latency and high throughput. However, traditional […]
CIS Seminar: “Intelligence Augmentation for Scientific Researchers”
Special location for this talk: 105 Amy Gutmann Hall Recent advances in Artificial Intelligence are powering revolutionary interactive tools that will transform the very nature of the scientific enterprise. We […]
CIS Seminar: “Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI”
We have made exciting progress in AI by massive models on massive amounts of data center compute. However, the demands for AI are rapidly expanding. I identify how to maximize […]
Celebration of Community
The Cora Ingrum Center for Community and Outreach is planning its annual Celebration of Community gala to showcase Penn Engineering students, staff, and faculty in their multi-talented richness. The event […]
CIS Seminar: “Privacy, Copyright, and Data Integrity: The Cascading Implications of Generative AI”
The rapid adoption of generative AI has created a cycle where personal information cascades perpetually: from people to models to applications and online platforms, then back through scrapers into the […]
CIS Seminar: “Realizing the Promise of Language-level Security in Real Systems”
Promises are cheap. Software vendors routinely describe their offerings as “secure”, but few are based on designs that can guarantee even the most basic security properties. To address this problem, […]
CIS Seminar: “Learning Theoretic Foundations for Modern (Data) Science”
In this talk, I will explain how fundamental problems in computational learning theory are at the heart of modern problems in machine learning and scientific applications and how algorithmic insights […]
ESE Guest Seminar – “On Team Decision Problems with Nonclassical Information Structures”
Team theory is a mathematical formalism for decentralized stochastic control problems in which a “team,” consisting of a number of members, cooperates to achieve a common objective. It was developed […]