Machine learning models pretrained on internet data have acquired broad knowledge about the world but struggle to solve complex tasks that require extended reasoning and planning. Sequential decision making, on […]
ABSTRACT: The rapid advance of AI driven by Large Language Models (LLMs), like ChatGPT, has led to impressive results across a range of different use cases. This has included several […]
In many computer systems today, an attacker that breaks one system component can steal data from millions of users. In this talk, I will present three systems that can withstand […]
Learn how to commercialize your research and navigate Penn's innovation ecosystem with Penn Engineering: Entrepreneurship. This is the first part of a series from Penn Engineering’s Entrepreneurship group. Featuring: Andrew […]
Cloud computing, which has seen significant growth over the past decade, fundamentally relies on the sharing of hardware resources among users. This approach enhances resource utilization and reduces operational costs. […]
ABSTRACT: Despite ML models' impressive performance, training and deploying them is currently a somewhat messy endeavor. But does it have to be? In this talk, I overview my work on […]
As the impact of artificial intelligence (AI) continues to proliferate, computer architects must assess and mitigate its environmental impact. This talk will survey strategies for reducing the carbon footprint of […]
Though modern machine learning has been highly successful, as we move towards more critical applications, many challenges towards building trustworthy systems, such as ensuring robustness, privacy, and fairness, arise. Ad […]
Generative AI has led to stunning successes in recent years but is fundamentally limited by the amount of data available. This is especially limiting in the embodied setting – where […]
ABSTRACT: Despite the widespread proliferation of neural networks, the mechanisms through which they operate so successfully are not well understood. In this talk, we will first explore empirical and theoretical […]
