How Memory Powers Intelligence: From Cognition to AI Computing Systems

#artificial-intelligence #cognitive-science #intelligent-systems #architecture #memory
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Abstract: As artificial intelligence (AI) continues to scale in power and influence, modern models increasingly mirror the complexities of human cognition. Yet, a widening gap exists between the principles of biological memory and the constraints of contemporary computing systems. This talk, How Memory Powers Intelligence: From Cognition to AI Computing Systems, explores this intersection through the lens of memory. We present research that reimagines intelligent systems not just as data processors, but as experience-driven learners. Key questions include: How can systems retain and learn from past interactions? How can we prioritize what information is worth encoding? What strategies enable efficient consolidation of long-term knowledge? And how can we accelerate memory retrieval to support real-time reasoning? By drawing parallels between cognitive science and AI architecture, we highlight novel memory-centric approaches to unlocking more intelligent, scalable, and adaptive computing systems.


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  • Starts 04 September 2025 07:00 AM UTC
  • Ends 09 October 2025 07:00 AM UTC
  • No Admission Charge

  Speakers

Prof. Hai (Helen) Li

Biography:

Hai (Helen) Li is the Marie Foote Reel E’46 Distinguished Professor and Department Chair of the Electrical and Computer Engineering Department at Duke University. She received her B.S. and M.S. degrees from Tsinghua University, and her Ph.D. degree from Purdue University. Her research interests include neuromorphic circuits and systems for brain-inspired computing, machine learning acceleration and trustworthy AI, conventional and emerging memory design and architecture, and software and hardware co-design. Dr. Li served/serves as the Associate Editor-in-Chief and Associate Editor for multiple IEEE and ACM journals. She was the General Chair or Technical Program Chair of multiple IEEE/ACM conferences and the Technical Program Committee member of over 30 international conference series. Dr. Li has received many awards, including the IEEE Edward J. McCluskey Technical Achievement Award, Ten Year Retrospective Influential Paper Award from ICCAD, TUM-IAS Hans Fischer Fellowship from Germany, ELATE Fellowship, nine best paper awards, and another ten best paper nominations from IEEE/ACM. Dr. Li is a fellow of IEEE, ACM, and NAI.




Agenda

5:30PM-6:15PM Presentation

6:15PM-6:30PM Q&A