One of my favorite things about SRECon is watching how the industry is marching ever closer to constrained Kalman filters and I’m going to seem like a prophet before long.
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Imagine trying to monitor how a motor in a factory behaves to diagnose a problem with that motor. You can put together specific tools to monitor that motor based on how that motor works, right?
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But that’s very specific. What if you could monitor the factory’s output and diagnose the failure in the motor with that data? You won’t need to model the motor specifically.
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Iiiiinteresting. We're just at the cusp of using something similar in security to detect adversarial behavior (screw complicated ML models, all we need are some good linear regressions to find breadth-first & depth-first behavior; scanning and extraction of data).
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I'm also minded of something I was hearing 10 years ago from EEs—"at high enough clock rate, digital signals problems become analog again"
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Not sure if this is on the same wavelength, but all-ears to hear more
End of conversation
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I'm a washed-up electrical engineer and I want to hear more