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About

Youhui Zhang is a leading researcher at the intersection of brain-inspired computing, robotics, and many-core architectures. His work focuses on developing scalable, efficient hardware and software systems that bridge the gap between artificial intelligence and real-world physical intelligence. Zhang’s most notable contribution is the design of a hybrid and scalable brain-inspired robotic platform (2020, 23 citations), which addresses the critical challenge of enabling robots to handle multiple dynamic tasks with human-like efficiency. This work has been foundational for advancing neuromorphic robotics. More recently, Zhang introduced MAICC (2023, 9 citations), a lightweight many-core architecture with in-cache computing designed for multi-DNN parallel inference. This innovation is particularly impactful for autonomous driving and intelligent robots, where diverse neural networks must run concurrently with low latency and high energy efficiency. By tackling the complexity and variability of dynamic environments, Zhang’s research is paving the way for more adaptive, intelligent autonomous systems. His work is widely cited for its practical contributions to scalable neuromorphic hardware and real-time AI deployment.