Upcoming Seminars
Seminar: Agent-Oriented Programming of Language Models
Wei Dong, National AI Campus and Managing Director of Ann Arbor Algorithms
April 17th, 2025
12:45 pm to 1:45 pm (Free Period)
Online
Abstract: A large language model is an automaton, and like any automaton, it should be programmed in the language it accepts. When we view prompt engineering as programming through the lens of automata theory, it becomes clear that traditional software engineering practice — rooted in the strict separation of programming languages and natural languages — must be rethought. In this seminar, Dr. Dong will present a conceptual framework of agent-oriented programming based on emails and share intriguing experimental results from Ann Arbor.
This is a joint event hosted by the Research Office, Provost Office, and the Math department.
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Seminar: The AI’s impact on the Future of Education
Ananda Gunawardena, NJ AI Hub
April 22nd, 2025
12:45 PM to 1:45 PM (Free Period) in Armitage – 124 or join Online
followed by open discussion and refreshments at “The Alumni House” Cooper Street
This is a joint event hosted by the Research Office, Provost Office, and the Math department.
Abstract: As AI continues to transform education, we need to think about how AI will impact education and future workforce development. This seminar will highlight our work with NJ AI Hub (https://njaihub.org/), a centralized resource for foundational research, innovation economy, education and workforce development. We will also introduce key AI innovations, including Cubits.ai, an AI-driven course platform; CodeBench, a cloud-based coding environment; and SmartSlides, an AI-powered tool for creating dynamic presentations. These technologies aim to make learning more interactive, accessible, and effective. We will explore how AI is reshaping education and how new tools and course reimagining can support instructors and students in the evolving digital landscape.
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Seminar: Intelligent Projector Systems for Spatial Augmented Reality
Haibin Ling, Stonybrook University
April 24th, 2025
12:45pm to 1:45pm (Free Period)
Armitage – 121
Abstract: The rapid advancement of imaging techniques and artificial intelligence has revolutionized research and applications in visual intelligence (VI). In this talk, I will present our studies covering a broad range of topics in VI, including visual recognition, video understanding, visual enhancement, and relevant machine learning techniques, with applications in virtual/augmented reality, biomedical research, and more.
I will then present our recent work applying AI to projector systems for spatial augmented reality tasks. In particular, image-based relighting, projector compensation and depth/normal reconstruction are three important tasks of projector-camera systems (ProCams) and spatial augmented reality (SAR). Although they share a similar pipeline of finding projector-camera image mappings, in tradition, they are addressed independently, sometimes with different prerequisites, devices and sampling images. In practice, this may be cumbersome for SAR applications to address them one-by-one. In this talk, we propose a novel end-to-end trainable model named DeProCams to explicitly learn the photometric and geometric mappings of ProCams, and once trained, DeProCams can be applied simultaneously to the three tasks. DeProCams explicitly decomposes the projector-camera image mappings into three subprocesses: shading attributes estimation, rough direct light estimation and photorealistic neural rendering. In our experiments, DeProCams shows clear advantages over previous arts with promising quality and meanwhile being fully differentiable. Moreover, by solving the three tasks in a unified model, DeProCams waives the need for additional optical devices, radiometric calibrations and structured light patterns. We will also briefly show our recent work on language-guided projection content generation. This is a joint work with Bingyao Huang.