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The future of intelligent edge devices requires not only efficient AI but also powerful memory. The team's innovative NPU (Neural Processing Unit) chiplet - a specialised AI accelerator - integrates memory directly alongside its processing unit. This eliminates memory-capacity and bandwidth bottlenecks, enabling real-time decision-making for endpoint applications while drastically reducing latency and power consumption. This plug-and-play solution empowers next-generation IoT products across rapidly growing edge AI hardware markets.
Principal Investigator(s)
Team of Department of Electrical and Electronic Engineering, Faculty of Engineering:
Prof. Han WANG
Professor
Hongjie LIU
Huangbo ZHENG
Prof. Can LI
Assistant Professor
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