What’s an intro to those topics ?
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Some PhD theses about these (individual) topics have a good background and literature overview
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What about combining combinatorial algorithms with deep learning? :)https://link.medium.com/X0af82kIt3
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When looking into reservoir computing, it seemed interesting that this usually implemented with RNNs. It would seem other network architectures could work too. I wonder if there is any work on this...
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Some implementations of reservoir computing use physical processes, e.g. optics.
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I would appreciate if you could share here some research efforts that you find important about reservoir computing and SNNs
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Was blown away when I first read about spiking neural networks and neuromorphic computing a few months ago. “Aha Yes, yes, that’s how the brain really works”. But with little literature around couldn’t make a business justification for it at my work. Hope it happens!
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I'm kinda hoping that I'll make it past 2020 first before thinking about ML advancements. You know, police brutality, WARS, usual stress in life in Hong Kong.
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Reservoir computing could be HUGE....if not for all the aggressive and wide-reaching patents already granted in that space.
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Analog reservoir computing will rise with a vengeance
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