Andrew Ding

Algorithm-Hardware Co-Design for Efficient Vector Symbolic Autonomous World Modeling

This work introduces a state-of-the-art, out-of-order vector processor to natively accelerate VSA world modeling for autonomous systems with a power envelope of less than 130 mW, and unifies a structured, generalizable world model with hardware-efficient vector processing, which enables scalable and powerful autonomous...