Neuromorphic Computing and Engineering Community
- Educational content to get you started in the neuromorphic world.
- Events about neuromorphic research and software, with contributions from both academia and industry.
- A curated list of open source software frameworks to make it easier to find the tool you need.
- A platform for your code. If you wish to create a new repository or migrate your existing code to ONM, please get in touch with us.
Ways to Get Involved
- Kade Heckel
- December 13, 2023
- 6:00 - 8:00 CEST
Explore the power of Spyx in a hands-on hackathon session and dive into the world of neuromorphic frameworks with Kade Heckel.
Dec 19, 2023 6:00 - 7:30 CET
Jan 15, 2024 6:00 - 7:30 CET
Feb 20, 2024 6:00 - 7:30 CET
- George Vathakkattil Joseph, Innatera
- October 23, 2023
This offers a sneak-peek into Innatera’s technology stack allowing application development from scratch and deploying it on mixed-signal neuromorphic hardware.
- Giulia D'Angelo
- September 26, 2023
Delve into the world of visual attention mechanisms with Giulia D'Angelo as she explores the interplay of bottom-up and top-down processes, offering insights into bio-inspired models for enhanced robotic perception and interaction.
- Lana Josipović
- July 19, 2023
Explore the journey from C/C++ to Dynamically Scheduled Circuits with Lana Josipović, an expert in high-level synthesis and reconfigurable computing. Join her recorded workshop session on innovative hardware design techniques.
- Gregor Lenz, Kade Heckel, Sumit Bam Shrestha, Cameron Barker
Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth
- Fabrizio Ottati
Explore the innovative TrueNorth neuromorphic chip, its event-driven architecture, low power operation, massive parallelism, real-time capabilities, and scalable design.
- Gregor Lenz, Fabrizio Ottati, Alexandre Marcireau
Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.
- Fabrizio Ottati
Stay up-to-date with cutting-edge digital hardware designs for neuromorphic applications. Explore recent research on power-efficient event-driven spiking neural networks and state-of-the-art processors like TrueNorth and Loihi.