CIS Seminar: “Building Planetary-Scale Collaborative Intelligence”
Today, access to high-quality data has become the key bottleneck to deploying Machine Learning (ML). Often, data that is most valuable is locked away in inaccessible silos due to unfavorable incentives […]
Rigorous and Glamorous in 100 Words or Less: An Abstract Workshop
It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results. Community for Rigor is here to help! Join Professor Konrad […]
Energy Week Lecture – “Towards Sustainable Artificial Intelligence and Datacenters”
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 […]
CIS Seminar: Generalizing Outside the Training Distribution through Compositional Generation”
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 […]
2024 Celebration of Diversity
The Office of Diversity, Equity & Inclusion is hosting another Celebration of Diversity gala. The gathering is intended to showcase students, staff, and faculty from Penn Engineering in their cultural […]
CIS Seminar: “Frameworks for Efficient Algorithms for Learning: Robustness and Data Compression”
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 […]
ASSET Seminar: “Building a Foundation for Trustworthy Machine Learning” (Elan Rosenfeld, Carnegie Mellon University)
ABSTRACT: Artificial Intelligence is being increasingly relied on in safety-critical domains. But the predictive models underlying these systems are notoriously brittle, and trustworthy deployment remains a significant challenge. In this […]
CIS/IDEAS Seminar: “Flow matching and optimal transport with applications to cell trajectories and protein design”
ABSTRACT: Flow matching models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models, score matching models, and continuous normalizing flows. In this talk I […]
Research Impact Seminar – Bring Your Research Out of the Lab (Penn Engineering Entrepreneurship)
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 […]
CIS Seminar: “Decision Making with Internet-Scale Knowledge”
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 […]