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 […]
Congratulations to Zishan (Bruce) Shao ’24 and Dr. Aditya Devarakonda on the acceptance of their co-authored article, “Enhanced Cycle Coordinate Descent Methods for Elastic Net Penalized Linear Models,” at the NeurIPS 2025 conference!
Wondering what courses are offered in Spring ’26? Are there any prerequisites? Is the course right for me? What do those courses entail? Any timeline to take a particular course? Join us Monday, September 29 at 4:00 PM in Manchester 024. Dr. William Turkett will answer questions you may have. All are welcome!
Join us Monday, September 22 at 4:00 PM in Manc 024! Dr. Mengnan Du, Assistant Professor of Data Science at the New Jersey Institute of Technology (NJIT), will be presenting his research titled Opening the Black Box: New Frameworks for Understanding LLM Internal Behavior. Abstract: […]
Join us Monday, September 15 at 4:00 PM in Manc 024! Dr. Ron Doyle will be sharing his insights on Computing & Entrepreneurship – From Garage to Unicorn. Abstract: What happens when technology meets entrepreneurship? The result is a transformative force shaping the future—driving innovation […]
What happens when an ancient philosopher’s wisdom is applied to the world of artificial intelligence? In this conversation with philosopher and Prof. William Cochran, we explore the essential role of ethics in computer science. The rapid rise of AI demands a moral compass, and the […]
Join us Monday, September 1 at 4:00 PM in Manc 024! Dr. Xin Wang, Research Assistant, Department of Computer Science, Virginia Tech will be presenting his research titled Metadata-Aware Memory Security. Abstract: Cloud computing reduces costs by sharing servers among many users, but this model […]