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Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

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Re: Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

#7

Right. But ... this would limit you to either extremely small models or extremely large FPGA's, yes? If there's a simple machine learning task that requires a sub microsecond latency I can see the point but otherwise??

Yes, this work is focused on accelerating very small models, typically for real-time systems that require extremely low power or low latency.

One primary application of this work is in high-energy physics (https://home.cern/smarter-decisions-at-the-speed-of-collisio...). Ultrafast and real-time learning is also very applicable for problems in quantum computing, plasma control, etc. (https://arxiv.org/pdf/2602.02005).

Re: Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

#10
post #7

Right. But ... this would limit you to either extremely small models or extremely large FPGA's, yes? If there's a simple machine learning task that requires a sub microsecond latency I can see the point but otherwise??

Yes, this work is focused on accelerating very small models, typically for real-time systems that require extremely low power or low latency. One primary application of this work is in high-energy physics ( https://home.cern/smarter-decisions-at-the-speed-of-collisio... ). Ultrafast and real-time learning is also very applicable for problems in quantum computing, plasma control, etc. ( https://arxiv.org/pdf/2602.0200…

I'm not in HFT, but I assume this is also an interesting applicable domain?
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