I'm a PhD student working in the exciting field of neuromorphic computing. With a deep interest in the intersection of neuroscience and computer science, I am dedicated to exploring and advancing the capabilities of neuromorphic systems to create brain-inspired computing solutions.

My research primarily revolves around the following areas:

• ⚡️Spiking Neural Networks (SNNs): Exploring the dynamics and learning mechanisms of SNNs is a key aspect of my work. I'm interested in studying spike-based learning technique for energy-efficient information processing.

• 🔋Ultra-low power algorithms: I am actively engaged in developing and optimizing sub-milliwatt ML algorithms for for edge and neuromorphic hardware platforms.

• 📊 Benchmarking: I'm trying to clear up the jungle that is edge computing by developping benchmarking tools and techniques.

Feel free to explore (and contribute to!) some of the projects and repositories I've been working on:

• 🔥 NeurIO: a Python library for easy deployment of neural networks on edge devices, allowing ultra low power inference 🧠
• 🆕 AudioGPT: An vocal interface to ChatGPT
• BrainDish Simulator: The attempt from Hugo and I to create AGI out of Pong and a microcontroller. 🧪
• Tensorflow Deterministic : Example for reproducible Tensorflow/Keras experiments ♻️
• This game and this one: Developed during hackathons and game jams🕹

I'm always eager to connect with fellow researchers, enthusiasts, and collaborators. Drop me an email at simon.narduzzi@gmail.com or connect with me on LinkedIn 👋.

Let's push the boundaries of neuromorphic computing together and unlock new realms of computational possibilities!