Memory-Centric AGI Hardware Design for Cognitive Microarchitectures
About
A technical seminar by Dr. Bonan Yan on memory-centric hardware for AGI, outlining cognitive pillars (perceiving, understanding, deciding, learning) and how memory-first microarchitectures can overcome energy and latency bottlenecks. Held at NUS MR20 (COM3-02-59) in Singapore, the talk explores scalable cognitive-inspired AI design.
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