Vincent Huard

About

Vincent Huard is a leading researcher in energy-efficient artificial intelligence hardware, specializing in the design of ultra-low-power AI-enabled Internet-of-Things (AI-IoT) systems-on-chip (SoCs). His work focuses on bridging the gap between high-performance deep neural network (DNN) acceleration and stringent power constraints for applications like augmented reality, personalized healthcare, and nano-robotics. His most cited paper, "A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing" (2023, 34 citations), exemplifies his contributions by integrating 16 RISC-V cores with precision-scalable DNN accelerators and adaptive body biasing to achieve a remarkable 12.4 TOPS/W efficiency. This work demonstrates his ability to push the boundaries of edge computing, enabling complex AI tasks within a few tens of milliwatts. Huard’s research has significant impact on the development of next-generation, power-constrained intelligent systems, making him a key figure in advancing practical AI deployment at the edge.

Research Focus

Key Achievements

Top Papers

1. 1
   22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing

   34 citations · 2023

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