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EmilyGorcenski's profile
Emily G
Emily G
Emily G
Verified account
@EmilyGorcenski

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Emily GVerified account

@EmilyGorcenski

Lead Data Scientist, activist, survivor. Was actually assaulted by an actual right-wing terrorist. Opinions belong only to me, especially the bad ones. she/they

Deep Space Nine
emilygorcenski.com
Joined June 2013

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    1. Emily G‏Verified account @EmilyGorcenski Aug 30

      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.

      1 reply 1 retweet 14 likes
      Show this thread
    2. Emily G‏Verified account @EmilyGorcenski Aug 30

      I just nearly launched into a discussion on the Nyquist-Shannon Sampling Theorem but decided to just let that ship stay anchored in harbor.

      2 replies 0 retweets 7 likes
      Show this thread
    3. Emily G‏Verified account @EmilyGorcenski Aug 30

      But for real, it’s very close to the point where tools and technologies exist to sufficiently model computing as a continuous, linearizable system, and when that happens it’ll be a watershed moment for the monitoring and diagnostics industry.

      2 replies 1 retweet 8 likes
      Show this thread
    4. Kevin Riggle‏ @kevinriggle Aug 30
      Replying to @EmilyGorcenski

      😍 I'm a washed-up electrical engineer and I want to hear more 😍

      1 reply 0 retweets 0 likes
    5. Emily G‏Verified account @EmilyGorcenski Aug 30
      Replying to @kevinriggle

      Right so my 30 second rant: many tools are built based on the specific functionality of a piece of software or hardware or protocol, using the rules of how that specific thing works to detect/diagnose

      1 reply 0 retweets 3 likes
    6. Emily G‏Verified account @EmilyGorcenski Aug 30
      Replying to @EmilyGorcenski @kevinriggle

      But with good, generalizable models, and sufficiently high data rates, we are getting to the point where we can start modeling systems with a level or two of abstraction away, and then describing overall “system” behavior in terms of input/ouput

      1 reply 0 retweets 3 likes
      Emily G‏Verified account @EmilyGorcenski Aug 30
      Replying to @EmilyGorcenski @kevinriggle

      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?

      2:26 AM - 30 Aug 2018
      • 2 Likes
      • hallowellen teapot 👻 Kevin Riggle
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Emily G‏Verified account @EmilyGorcenski Aug 30
          Replying to @EmilyGorcenski @kevinriggle

          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.

          1 reply 1 retweet 2 likes
        3. Kevin Riggle‏ @kevinriggle Aug 30
          Replying to @EmilyGorcenski

          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).

          1 reply 0 retweets 4 likes
        4. Kevin Riggle‏ @kevinriggle Aug 30
          Replying to @kevinriggle @EmilyGorcenski

          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"

          1 reply 0 retweets 3 likes
        5. Kevin Riggle‏ @kevinriggle Aug 30
          Replying to @kevinriggle @EmilyGorcenski

          Not sure if this is on the same wavelength, but all-ears to hear more

          0 replies 0 retweets 2 likes
        6. End of conversation

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