Pascal Gouedo

About

Pascal Gouedo is a leading researcher in energy-efficient artificial intelligence hardware, specializing in AI-enabled Internet-of-Things (AI-IoT) systems-on-chip (SoCs). His work focuses on pushing the boundaries of ultra-low-power computing for emerging applications like augmented reality, personalized healthcare, and nano-robotics, where devices must operate within a few tens of milliwatts. Gouedo’s major contribution is the development of a groundbreaking 12.4 TOPS/W AI-IoT SoC, which integrates 16 RISC-V cores with precision-scalable deep neural network (DNN) acceleration supporting 2-to-8-bit operations. This design, published in 2023, achieves 136 GOPS while incorporating adaptive body biasing to boost energy efficiency by 30%. With 34 citations in just its first year, the work has quickly become a reference point for next-generation edge AI systems. Gouedo’s innovations directly address the challenge of running compute-intensive DNNs under extreme power constraints, making him a key figure in the push toward intelligent, autonomous IoT devices that can operate efficiently in real-world environments.

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

Key Collaborators

Contact & Links