NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS

01 January 2023 → 31 December 2026
European funding: framework programme
Research disciplines
  • Engineering and technology
    • Photonics, light and lighting
    • Pattern recognition and neural networks
big data
Other information
Project description

Neuromorphic computing is a brain-inspired approach for processing large amounts of data with high energy efficiency, low latency and high bandwidth. Neuromorphic systems are particularly attractive for edge computing applications thanks to their high performance and lightweight features. However, strong and energy-efficient security layers are mandatory for such systems, especially for safety-critical applications, as they are very easily compromised at the edge. The EU-funded NEUROPULS project aims to build low-power, secure edge computing systems by developing novel photonic computing architectures and security layers based on photonic physical unclonable functions in augmented silicon photonics platforms compatible with CMOS technology. By developing novel technological, hardware and simulation platforms, NEUROPULS aims to create next-generation neuromorphic accelerators featuring RISC-V compliant interfaces for easier system compatibility.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the authority can be held responsible for them.