Georg Rutishauer

Papers

1

Total Citations

34

H-Index

1

About

Georg Rutishauer is a leading figure in energy-efficient edge AI hardware, with his work centered on the design of ultra-low-power System-on-Chips (SoCs) for the Artificial Intelligence-enabled Internet of Things (AI-IoT). His most cited paper, a 2023 ISSCC publication, introduces a groundbreaking AI-IoT SoC that achieves an impressive 12.4 TOPS/W at 136 GOPS. This chip integrates 16 RISC-V cores with a precision-scalable DNN accelerator supporting 2-to-8-bit operations, alongside a 30% boost from adaptive body biasing—a key contribution enabling complex tasks like augmented reality and personalized healthcare within a milliwatt power envelope. With 34 citations in under two years, this work has rapidly influenced the field of near-sensor processing. Rutishauer’s major contributions lie in bridging the gap between compute-intensive deep neural networks and stringent energy constraints, demonstrating how heterogeneous architectures and voltage scaling can deliver high throughput without sacrificing efficiency. His research is essential reading for students and engineers pushing the boundaries of tinyML and autonomous nano-robotics, offering a practical blueprint for next-generation intelligent edge devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
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
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago