eyvindn

6 ms·

31.
Self-Organising Textures: Neural Cellular Automata Model of Pattern Formation(distill.pub)
1 points by eyvindn 6y ago|0 comments
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by eyvindn 6y ago
Would you mind sharing what panel this is?
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by eyvindn 6y ago
This is an interesting idea and innovative approach - exciting stuff and congratulations on securing the 200k investment. Some questions regarding the underlying technology: You mention a "self-healing" grid. If one of these laser
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by eyvindn 6y ago
The idea I think is very useful from a UX perspective. Some questions that immediately hit me: How will you incentivise users to want to jump on a video chat with a random person? I think some people may be frightened by the thought of a st
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by eyvindn 6y ago
Authors here. Had great fun making this. We think Distill is an excellent medium. Happy to respond to any questions (although likely with a few hours delay as we are in CEST and nearing our bedtime).
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Self-Classifying MNIST Digits Using Neural Cellular Automata(distill.pub)
7 points by eyvindn 6y ago|0 comments
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by eyvindn 7y ago
Thank you. We will take a look at this. Currently we are working through a backlog of communication.
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by eyvindn 7y ago
Yes. Several other applications (both with and without an underlying 2D grid) are in the pipeline which we hope to publicise soon.
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by eyvindn 7y ago
Diffusion-reaction systems were an inspiration in general. Using a Laplace operator (or the discretised equivalent for our 2D grid) might have trouble learning to generate these patterns - the Laplacian wouldn’t always provide unique inform
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by eyvindn 7y ago
1) This is often the first question many people familiar with NNs ask and rightly so. Compression was not one of our goals with this article, and it would look like a terrible compression algorithm if that were its purpose. In fact, the mod
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by eyvindn 7y ago
We have a lot of future applications and directions in mind, including the feasibility of applying this to distributed computing and consensus. In particular, the idea of training a model generating CA parameters instead of having a CA fit
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by eyvindn 7y ago
1. The results do not depend on speed in principle. The difference between 60FPS and “max” can be several orders of magnitude depending on your hardware, so it’s likely you may see instabilities that exist on much longer horizons at higher
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by eyvindn 7y ago
One of the authors here. Feel free to ask any questions! We encourage you to play with the attached Colab with which you can train models from scratch in <30min.
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Growing Neural Cellular Automata: A Differentiable Model of Morphogenesis(distill.pub)
210 points by eyvindn 7y ago|46 comments
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by eyvindn 8y ago
Hi, are you hiring?