Lava: An Open-Source Software Framework for Developing Neuro-Inspired Applications

Discover Lava, an open-source software framework for neuro-inspired applications, presented by Andreas Wild and Mathis Richter. Dive into the future of neuromorphic computing.

Home /
Neuromorphic Workshops /
Lava: An Open-Source Software Framework for Developing Neuro-Inspired Applications

Andreas Wild, Mathis Richter
May 31, 2023
Slides

~ Share this Site ~

Upcoming Workshops

Project Phasor - Kickoff
Brian Anderson
2025, Jan 28 19:00 - 20:00 CET

Host a workshop

Lava: An Open-Source Software Framework for Developing Neuro-Inspired Applications

About the Speaker

Andreas Wild received the Dr. rer. nat degree in physics with a focus on the development of silicon-based electron spin qubits from the Technical University of Munich, Germany, in 2013. After joining Intel in 2013, he has been a Senior Researcher with the Intel Neuromorphic Computing Lab since 2015 where he leads algorithm research. Mathis Richter is a Research Scientist in the Neuromorphic Computing Lab at Intel Labs, where he leads the Application Software team, developing commercial software solutions based on neuromorphic technology. Before joining Intel in 2021, he worked as a post doc and PhD student on neural process models of higher cognition at the Institute for Neural Computation, Ruhr-University Bochum.

Does the Brain do Gradient Descent?

Konrad Kording
2023, July 11

Explore the brain's potential use of gradient descent in learning processes with Konrad Kording in this engaging recorded session.

What's Catching Your Eye? The Visual Attention Mechanism

Giulia D'Angelo
2023, September 26

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.

Towards Training Robust Computer Vision Models for Neuromorphic Hardware

Gregor Lenz
2023, March 10

Join Gregor Lenz as he delves into the world of event cameras and spiking neural networks, exploring their potential for low-power applications on SynSense's Speck chip. Discover the challenges in data, training, and deployment stages. Don't miss this talk on training robust computer vision models for neuromorphic hardware.