Become a sponsor to Jens Egholm Pedersen
Motivation
When faced with the complexity and ambiguity in the real world, contemporary algorithms fail spectacularly. There is a strong need for robust, sparse, and massively parallel algorithms to solve our everyday physical problems. I strive to fill that need.
Goal
My approach focuses on understanding and simulating neural circuits that perform meaningful functions, including vision, motor control, and self-sustenance. The explicit goal is to build autonomous systems that perform meaningful work. Most robotic systems are staggeringly incompetent compared to even the simplest members of the animal kingdom. I approach this bottom-up, tightly following the Feynman axiom “What I cannot create, I do not understand”.
Why sponsor?
This sponsorship fuels my open-source efforts to build and sustain a community for brain-inspired modelling and neuromorphic development that is open and free for all. I co-authored and maintain the popular Spiking Neural Network library, Norse, the event streaming library AEStream, I contribute to the Open Neuromorphic community and are collaborating with neuromorphic research groups and companies across the globe.
Your sponsorship permits me to dedicate time to publicize, popularize, and democratize neuromorphic technology. Something I would otherwise be strongly disincentivized to do.
About me
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! ❤️
Featured work
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norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
Python 686 -
aestream/aestream
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
C++ 70 -
neuromorphs/NIR
Neuromorphic Intermediate Representation reference implementation
Jupyter Notebook 87 -
open-neuromorphic/coding
Coding projects by the community for the community
Python 12