This free, half-day event for undergraduates is hosted by the National Science Foundation Artificial Intelligence-driven RNA BioFoundry (AIRFoundry). Led by experts from the University of Pennsylvania and University of Puerto Rico, Mayagüez, the event will highlight how AI can enhance RNA, with applications in medicine, agriculture and more. Students will also be able to tour cutting-edge labs and engage […]
AI
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Join President J. Larry Jameson and Provost John L. Jackson, Jr. along with the Penn AI Council for the launch of Penn AI. Senior Vice Provost for Research Dawn Bonnell will lead a discussion with members of the Penn AI Council to explore AI’s societal implications and Penn’s potential to influence a more sustainable future. […] |
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Abstract: Machine learning applications are increasingly reliant on black-box pretrained models. To ensure safe use of these models, techniques such as unlearning, guardrails, and watermarking have been proposed to curb model behavior and audit usage. Unfortunately, while these post-hoc approaches give positive safety ‘vibes’ when evaluated in isolation, our work shows that existing techniques are quite brittle when deployed […] |
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract I will present recent work by my research group on the design and analysis of stochastic-gradient-based algorithms for solving nonconvex constrained optimization problems, which may arise, for example, in informed supervised learning. I will focus in particular on algorithmic strategies that have consistently been shown to exhibit the best practical […]
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Misra will share insights on the intersection of technological innovation, business strategy, and talent in the AI era, drawing on his leadership experience in global finance and tech investment. The program will also include the presentation of the 2024 D. Robert Yarnall Award. Click here to RSVP to this event. |
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This event is presented by the Wharton Accountable AI Lab and co-sponsored by the Wharton AI & Analytics Initiative; Penn Engineering; the Center for Technology, Innovation & Competition; and the Perry World House. The Penn AI Governance Workshop will feature panel discussions, lightning talks and networking opportunities, and will conclude with a reception. The workshop brings together leading Penn researchers to explore key […]
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In today’s data-driven landscape, vast unstructured data sources — like documents and electronic health records (EHRs) — demand advanced AI tools to unlock their full potential. Generative AI, powered by large language models (LLMs), is becoming indispensable for processing and extracting insights from complex language-based data. Participants will explore: Identifying key problems that lend themselves to AI-driven solutions. Collecting and preparing data, building models and running state-of-the-art algorithms. […] |
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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 transferrable to other models---even proprietary ones—potentially compromising a wide range of AI systems with a single exploit. This surprising fragility underscores a critical weakness in […] |
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We present a new perspective on online learning that we refer to as gradient equilibrium: a sequence of iterates achieves gradient equilibrium if the average of gradients of losses along the sequence converges to zero. In general, this condition is not implied by, nor implies, sublinear regret. It turns out that gradient equilibrium is achievable […] |
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A panel hosted by Penn Engineering Entrepreneurship (EENT) highlighting the importance of AI for the next generation of leaders and showcasing how Penn has been, and will continue to be, at the forefront of this evolving field. Panelists include: Elizabeth (Liz) Golden CEO & Co-Founder @ Wavelet Medical Mel Tang Founding Operating Partner & CFO of Matter […] |
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Click here for more details. The workshop will explore the state of the art in sustainable computing and share recent research at the intersection of technology, economics, and policy. Through invited talks, panel discussions, and breakout sessions, participants will help shape a research agenda for the field. The workshop aims to produce a white paper and publish […] |
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Please RSVP here. We are living in an age where capabilities previously thought to be hallmarks of human intelligence are increasingly being replicated, or at least mimicked, in artificial systems. Tasks involving language, reasoning, perception and even interaction with the real world have all been demonstrated in silico. What does this fact tell us about […]
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Penn Engineering alumni working in AI will share industry insights in a panel discussion, followed by student networking sessions. Schedule: 2–3 p.m. Panel Discussion and Q&A 3:15–4 p.m. Breakout Networking Sessions Panelists include: Sara Dwyer (ENG’19) Founder & CEO at Parambil David Q. Sun (GEE’14, GR’20) Senior Engineering Manager, Siri & Information Intelligence, AIML at Apple […] |
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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 my research on building generative models that combine physical realism with scalability in high-dimensional environments. The presentation delves into both the theoretical foundations and practical […] |
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: This talk considers the problem of resilient distributed multi-agent optimization for cyberphysical systems in the presence of malicious or non-cooperative agents. It is assumed that stochastic values of trust between agents are available which allows agents to learn their trustworthy neighbors simultaneously with performing updates to minimize their own local […] |
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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 social media platforms—or so we are told. In this talk, I will critically examine claims of this sort—made frequently by politicians, journalists, and public intellectuals—summarizing […] |
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Solving min-max problems is a central question in optimization, games, learning, and controls. Arguably the most natural algorithm is Gradient-Descent-Ascent (GDA), however since the 1970s, conventional wisdom has argued that it fails to converge even on simple problems. This failure spurred the extensive literature on modifying GDA with extragradients, optimism, momentum, anchoring, […] |
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For two centuries, The Franklin Insitute has honored pioneering achievements in science, engineering, and industry. As the oldest comprehensive science awards program in the United States. The Franklin Insitute Awards celebrates Benjamin Franklin's legacy by honoring the Franklins of today. Through their remarkable contributions, our laureates inspire the Franklins of tomorrow. The 2025 Benjamin Franklin […]
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Abstract: Neurosymbolic Program Synthesis (NSP) integrates neural networks and symbolic reasoning to tackle complex tasks requiring both perception and logical reasoning. This talk provides an overview of the NSP framework and its applications in domains such as image editing, data extraction, and robot learning from demonstrations. We will delve into the key ideas behind NSP […] |
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The Franklin Institute Awards Laureate Symposium is dedicated to honoring William James Dally, recipient of the 2025 Benjamin Franklin Medal in Computer and Cognitive Science The event will feature Margaret Martonosi (H. T. Adams ’35 Professor of Computer Science, Princeton University), Yakun Sophia Shao (Associate Professor in Electrical Engineering and Computer Sciences, UC Berkeley), Joe […] |
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