Jens E. Pedersen
Doctoral student at KTH, modeling neuromorphic control systems to solve real-world ambiguity. Maintainer of Norse, AEStream, and co-author of NIR.
Contributions
Initiatives
Executive Committee
Contributors: Jens E. Pedersen, Justin Riddiough, Danny Rosen
The elected Executive Committee of Open Neuromorphic, responsible for guiding the community and its initiatives.
Learn MoreFounding Advisors
Contributors: Jens E. Pedersen, Henning Wessels, Melika Payvand, Catherine Schuman, Charlotte Frenkel, Alexander Hadjiivanov, Alexander Henkes, Steven Abreu
Supported the initial conception of Open Neuromorphic
Learn MoreHacking Hours
Contributor: Jens E. Pedersen
Live coding sessions exploring neuromorphic software, tackling challenges, and discussing the latest in neuromorphic development. Often features guest …
Learn MoreActivity Timeline
Why 'open' matters and where we want to take the Open Neuromorphic community
Luuk van Keeken introduces the Neuromorphic Intermediate Representation (NIR) and demonstrates graph tracing using torch.fx.
Alexandre Marcireau discusses the v0.3.0 release of Faery, an event processing library, in this Hacking Hour session.
Alexandre Marcireau: Faery API Hacking
October 29
A deep dive into hacking and extending the Faery API with Alexandre Marcireau and host Jens E. Pedersen.
An in-depth discussion on the Faery API with Alexandre Marcireau, Petruț Bogdan, and host Jens E. Pedersen.
Kade Heckel discusses optimizing GPU/TPU code using JAX and Pallas in this Hacking Hour session.
Alexandre Marcireau and Petruț Bogdan discuss the Faery library's integration and interaction with Innatera hardware and the Neuromorphic Intermediate Representation (NIR).
Learn about using GitHub Actions for CI/CD with the Faery event processing library, presented by Alexandre Marcireau.
We show how to use the Neuromorphic Intermediate Representation to migrate your spiking model onto neuromorphic hardware.
Revolutionize traffic safety with neuromorphic visual sensing. Explore award-winning solutions for pedestrian detection and tracking, emphasizing sustainability and city-level deployment. Join Dr. Cristian Axenie in this groundbreaking AI exploration
Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth