Phil 1.29.18

7:00 – 5:30 ASRC MKT

  • The phrase “Epistemic Game Theory” occurred to me in the shower. Looked it up and found these two things:
  • When it’s easier to agree than discuss, it should be easier to stampede:
  • Like vs. words
  • This is also a piece of Salganik’s work as described in Leading the Herd Astray: An Experimental Study of Self-Fulfilling Prophecies in an Artificial Cultural Market
  • An article on FB optimization and how to change the ratio of likes to comments, etc
  • I don’t think people did. It’s just that it’s easier to not think too much 🙂 people are busy selling tools that do everything for people, and people are happy buying tools to limit thinking. The analogy of replacing cognitive load with perception by VIS misleads in this regard. (Twitter)
  • Continuing BIC
    • Dimension reduction is a form of induced conceptual myopia (pg 89)? Conceptual Myopia
  • AI Roundup workshop today
    • Zenpeng, Biruh, Phil, Aaron, Eric, Eric, Kevin
    • Eric – Introductory remarks. Budget looks good for 2018. Direction, chance to overlap, get leaders together for unique differentiators and something that we can build a business around. There has to be a really good business case with revenue in the out years
    • Aaron – CDS for A2P. Collaborate on analytics, ML, etc. Non corporate focused. Emerging technologies and trends. Helping each other out. Background in IC software dev.
    • Pam Scheller – SW Aegis. BD. EE, MS Computer engineering.
    • Biruh, TF, LIDAR, Generalized AI as hobby.
    • Zhenpeng Lee – Physics, Instrument Data Processing for GOES-R. FFT. GOES_R radiometric analysis. 7k detector rows? Enormous data sets. Attempting to automate processing the analysis of these data sets. Masters in Computer Science from JHU. Written most of his code from scratch.
    • Kevin Wainwright. Software engineering Aegis. C&C, etc. Currently working on a cloud based analytics with ML for big data, anomaly detection, etc. Looking for deviation from known flight paths
    • Eric Velte. History degree. Aegis. Situational awareness. Chief technologists for missions solutions group. Software mostly. Data analytics for the last two years. Big Data Analytics Platform.
    • Cornel as engineer, Zero G heat transfer, spacecraft work. Technology roadmaps for thermal control. Then business development, mostly for DoD. Research Sports research – head of Olympic Committee research kayaks, women’s 8, horse cooling, bobsleds.
    • Mike Beduck. Chemical Engineering and computer science. Visualization, new to big data. Closed system sensor fusion. RFP response, best practices. Repository for analytics
    • George. Laser physics. Cardiac imaging analysis. Software development, 3D graphics. Medical informatics. CASI ground systems. More GOES-R/S. Image and signal processing and analysis.
    • Anton is lurling and listening. Branding and marketing.
  • A2P WIP
    • Put a place on sharepoint for papers and other documents – annotated bibliography.
    • Floated the JuryRoom app. Need to mention that the polarizing discussion closes at consensus.
  • Zhenpeng Lee AIMS – GOES-R. What went wrong and how to fix. ML to find pattern change in 20k sensor streams. Full training on each day’s data, then large scale clustering. Trends are seasonal? Relationships between sensors? Channel has 200-600 detectors. “Machine Learning of Situational Awareness” MLP written in Java. TANH activation function.
    • Eric Haught: Long term quest for condition-based maintenance.
    • Aaron – we are all trying to come up with a useful cross platform approach to anomaly detection.
    • Training size: 100k samples? Sample selection reduce to 200? Not sure what the threshold sensitivity is
  • Eric Velte – Devops. Centralize SW dev and support into a standardized framework. NO SECURITY STACK!!!!!
  • Dataforbio? Video series

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