Join us Monday, November 17 at 2:00 PM in Manc 120! Dr. Guanchu Wang will talk about his research titled Confidence Calibration for Large Language Models. Abstract: Despite the widespread adoption of large language models (LLMs) in daily life, their reliability remains a major concern. One […]
Historically, Artificial Intelligence has taken a symbolic route for representing and reasoning about objects at a higher-level or a statistical route for learning complex models from large data. To achieve true AI in complex domains such as healthcare, it is necessary to make these different […]
Join us Tuesday, November 11 at 11:00 AM in Manc 229! Dr. Olubunmi Sule will talk about her research titled Enhanced Retinal Blood Vessel Image Segmentation Using U-Net and Denoising Diffusion Probabilistic Models. Abstract: Accurate segmentation of retinal blood vessels is crucial for diagnosing and monitoring […]
Join us Monday, November 10 at 4:00 PM in Manc 024! Dr. Ron Doyle will talk about Surveying the Landscapes of Modern Technology and Jobs in Computing. This seminar will begin with an overview of modern computing technologies, programming languages, and software development methods. The majority of […]
Join us Monday, November 3 at 4:00 PM in Manc 024! Dr. Jason Cui will talk about his research titled Efficient Deep Learning and Spatial Modeling for Mapping Tropical Forest Canopies. Abstract: Accurately mapping and analyzing canopy palms is vital for understanding tropical forest structure, […]
Join us Monday, October 27 at 4:00 PM in Manc 024! Dr. Ron Doyle will be sharing his insights on From Infrastructure to Intelligence: The Evolution of Cloud Systems in the Age of AI. This seminar will introduce the fundamental technology underlying public and private clouds, […]
Abstract: As large language models (LLMs) grow in size, recentalgorithmic methods such as quantization, sparsification, and approximate gradient estimation aim to reduce memory and computation costs. However, these gains often come at the expense of accuracy. This talk introduces a data-algorithm co-design approach to address […]
Abstract: To share his career path and process for starting a business, his experiences like working in big tech, at startups, going through the Salesforce acquisition, and then fundraising/starting Ciridae. Bio: Jack Weissenberger, a 2019 graduate of Wake Forest University with a BS […]
Abstract: While FMs have demonstrated remarkable capabilities in storing knowledge and performing reasoning across modalities, including language, vision, and structured data. their stored knowledge is often static and prone to rapid obsolescence due to an evolving world. Moreover, their reliance on imperfect internal representations can […]
Huge congratulations to Mario, Julia, Ruicheng, and Mallory! These talented students have been awarded the Wake Forest Research Fellowship and received vital support from the URECA Center. Since last summer, they’ve been working incredibly hard, conducting intensive research, collaborating closely, and developing truly creative ideas […]