ZUSE-KI-mobil

Energy-efficient hardware accelerator for neural networks in embedded application.
Start:
01.05.2020
End:
31.12.2025

ZUSE-KI-mobil

Energy-efficient hardware accelerator for neural networks in embedded application.
The project aims to develop an AI accelerator with a flexible, expandable, and scalable system-on-chip (SoC) architecture. For low energy consumption, the accelerator is optimized for AI algorithms in autonomous driving and manufactured in the energy-efficient 22 nm FDX semiconductor technology. In addition, Zuse-KI-mobil establishes an ecosystem that combines a development system and a German partner network with expertise in AI hardware design. Finally, the flexibility and scalability of the processor platform will be verified using demonstrators.

Contact

Prof. Dr.-Ing. Holger Blume

Project Manager