Become a sponsor to Jens Egholm Pedersen
Motivation
Contemporary AI algorithms are expensive and often fail at basic physical tasks that even insects master effortlessly. Neuromorphic technologies are taking inspiration from biology to create computers and robots that are cheaper and much more efficient. The market is expected to grow into billions of dollars in a few years, and will revolutionize the way we compute.
Open-source technologies are well known to power innovation, and we have a golden opportunity to build an infrastructure backbone which is both accessible and open, democratizing this technology for the betterment of all.
Goal
My goal is to drive open-source innovation of easy-to-use tools that improves accessibility and accelerates neuromorphics for the greater public — research, industry, and hobbyists alike.
I am currently working on three major projects:
- The Neuromorphic Intermediate Representation (NIR) which permits neuromorphic models to be executed across 5+ hardware platforms. Before NIR, we had no way of comparing the performance of our models.
- Event-based drivers and processing tools, such as Faery and event-camera-drivers. These tools ensure cross-vendor access to event-cameras and event-camera data, similar to tools like Numpy.
- The neuromorphic neuron simulator, Norse as one of the most popular PyTorch-based engines with GPU acceleration and excellent performance
While the promise is huge, the ecosystem of neuromorphics is premature and cumbersome. Most vendors provide their own technology stack, which does not interoperate. For neuromorphics to become truly successful, we need tools that are fast, standardized, and easy to use.
Why sponsor?
I have a proven track record of delivering significant open-source milestones.
- I am a leading developer of the efforts of neuromorphics standards, such as the Neuromorphic Intermediate Representation published in Nature Communications, which awarded me the Misha Mahowald Early Career Award 2025
- I co-author and main work that has been starred 1000+ times on GitHub and downloaded 300,000+ times
- I am co-organizer of the 2000+ member Open-Neuromorphic community and participate in leading neuromorphic workshops to collaborate on open neuromorphic technologies
Your sponsorship permits me to bring neuromorphics to a broader audience, ensuring a continued open-source presence in an emerging, and potentially revolutionary, market.
About me
I'm a Danish researcher specializing in neuromorphic computing and brain-inspired algorithms. With a background in computer science and neuroscience from University of Copenhagen and the KTH Royal Institute of Technology, I combine technical expertise with a commitment to open collaboration.
I'm Danish by origin and value humility and integrity highly. I try to keep a sense of humor in everything I do. I am incredibly friendly and spend a little too much of my time helping out strangers.
My inbox is open if you have any questions.
Thank you! ❤️
1 sponsor has funded Jegp’s work.
Featured work
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norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
Python 698 -
aestream/aestream
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
C++ 74 -
neuromorphs/NIR
Neuromorphic Intermediate Representation reference implementation
Jupyter Notebook 92 -
open-neuromorphic/coding
Coding projects by the community for the community
Python 14 -
aestream/faery
Sends event camera data from A to B. Supports live cameras and dead recordings
C 9 -
aestream/event-camera-drivers
Event camera drivers
C++ 1
$1 a month
Select"Thank you for creating Norse and for your continued efforts to the community!"
$5 a month
Select"Thank you for creating Norse! It really saved me time and, therefore, money!"
$10 a month
Select"Thank you for your continued efforts for the community! I know how important it is to research intelligent systems and I trust you will do great work with the time you are given. So here: go create something excellent."