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ASSET Seminar: “Title TBD”

Abstract TBD   Zoom: https://upenn.zoom.us/j/97681131112

ASSET Seminar: “AIRFoundry: AI for RNA Discovery and Synthesis”

Virtually everyone today is aware of the mRNA vaccine for COVID, which saved many lives and earned the Nobel Prize for Drs. Drew Weissman and Katalin Kariko. The vaccine consisted […]

AI Research Mixer 2025

Event Date: Friday, September 19, 2025 Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering and Science The Warren Center for […]

AI Research Mixer

Event Date: Friday, September 19, 2025 Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering and Science The Warren Center for […]

ASSET Seminar: “Fake News, Echo Chambers, and Algorithms: A Data Science Perspective”

Abstract: American democracy has been undermined by an “infodemic” of fake news, coupled with the widespread segregation of consumers into ideologically homogenous echo chambers by inscrutable algorithms deployed by rapacious […]

ASSET Seminar: “Learning Reliable and Robust Generative Intelligence”

Abstract: Robust simulation and precise modeling of physical dynamics are essential for advancing perception, planning, and control in the development of generalist physical agents. In this talk, I will present […]

ASSET Seminar: “Alignment and Control with Representation Engineering”

Abstract: Large Language Models (LLMs) are vulnerable to adversarial attacks, which bypass common safeguards put in place to prevent these models from generating harmful output. Notably, these attacks can be […]

ASSET Seminar: “Algorithmic Stability for Trustworthy Machine Learning and Statistics”

Abstract: Data-driven systems hold immense potential to positively impact society, but their reliability remains a challenge. Their outputs are often too brittle to changes in their training data, leaving them […]

ASSET Seminar: “Controlling Language Models”

Abstract: Controlling language models is key to unlocking their full potential and making them useful for downstream tasks. Successfully deploying these models often requires both task-specific customization and rigorous auditing […]

ASSET Seminar: “Beyond Scaling: Frontiers of Retrieval-Augmented Language Models”

Abstract: Large Language Models (LMs) have demonstrated remarkable capabilities by scaling up training data and model sizes. However, they continue to face critical challenges, including hallucinations and outdated knowledge, which […]

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