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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:

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.

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.

@Jegp

This pays server maintenance, domain fees, and a cup of coffee I can drink while I work on my open-source projects in my spare time.

@KristinKalt

Featured work

  1. norse/norse

    Deep learning with spiking neural networks (SNNs) in PyTorch.

    Python 698
  2. aestream/aestream

    Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols

    C++ 74
  3. neuromorphs/NIR

    Neuromorphic Intermediate Representation reference implementation

    Jupyter Notebook 92
  4. open-neuromorphic/coding

    Coding projects by the community for the community

    Python 14
  5. aestream/faery

    Sends event camera data from A to B. Supports live cameras and dead recordings

    C 9
  6. aestream/event-camera-drivers

    Event camera drivers

    C++ 1

10% towards $50 per month goal

@KristinKalt

KristinKalt sponsors this goal

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$1 a month

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"Thank you for creating Norse and for your continued efforts to the community!"

$5 a month

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"Thank you for creating Norse! It really saved me time and, therefore, money!"

$10 a month

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"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."