How Memory Powers Intelligence: From Cognition to AI Computing Systems

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.
Speaker(s): Hai (Helen) Li ,
Virtual: https://events.vtools.ieee.org/m/507222