Gian marco Ottavi
Papers
1
Total Citations
34
H-Index
1
About
Gian Marco Ottavi is a leading researcher in energy-efficient artificial intelligence and Internet-of-Things (AI-IoT) systems-on-chip (SoCs), with a focus on scalable deep neural network (DNN) acceleration and adaptive hardware optimization. His most cited work, a 2023 paper with 34 citations, introduces a groundbreaking AI-IoT SoC achieving 12.4 TOPS/W at 136 GOPS, integrating 16 RISC-V cores with precision-scalable DNN acceleration from 2 to 8 bits, and a 30% boost via adaptive body biasing. This contribution addresses the critical challenge of running compute-intensive DNNs within ultra-low power envelopes (tens of mW) for applications like augmented reality, personalized healthcare, and nano-robotics. Ottavi’s research bridges the gap between high-performance AI and extreme energy constraints, enabling real-time, bit-precision-tolerant inference on edge devices. His work has significant impact on the design of next-generation, intelligent IoT platforms, pushing the boundaries of efficiency and adaptability in embedded AI systems.
Research Focus
Key Achievements
Top Papers
- 1