7:00 – 5:30 ASRC GOES

• Recalls V46 and VB2/NHSTA 19V-818
• Fireplace
• Dissertation
  • Pull in Rachel’s comments – done
  • Begin conclusions!
• More documentation.
  • Creating the readme for the TF2_opt_example
  • Created the new file, and verifying that everything works – looking good
  • Whoops! I was still using

    from tensorflow_core.python.keras import layers

  • instead of

    from tensorflow.keras import layers

  • which gave me a tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at error, at least according to this. Going to have to update the library.
  • Nope – that didn’t work. Trying to clear the GPU directly using cuda libaries as described here 
    • That causes the execution to stop. I think you have to do something to re-open the GPU
  • Trying Keras clear_session(). It’s tricky, because it can’t be in the GPU context. Seeing if it works in the loop that creates the TFOptimizerTest object.
    • That worked! Just worried that it might have to do with the complexity of the model. THis time, the evolver came up with a 980 neuron, one layer architecture. Last time, it choked on 800 X 5. Rerunning.
• More on hyperparameter optimization (HPO). These articles goes into the scikit libraries
  • Part 0 – Introduction
  • Part 1 – Scikit-Optimize
• An alternate take: An Introductory Example of Bayesian Optimization in Python with Hyperopt A hands-on example for learning the foundations of a powerful optimization framework
• Deploy to PiPy
  • How to upload your python package to PyPi
  • How to Publish an Open-Source Python Package to PyPI
• Mission Drive meetings
  • Satellite tool kit? STK’s physics-based, multi-domain modeling, simulation, and analysis environment supports the fast, cost-effective, and responsive approaches needed to realize the full value of digital engineering.
  • What’s new in STK 11.7
  • Set up a one hour meeting tomorrow before the main meeting at the NSOF with Isaac. Something about how to recognize the pattern of switching from one satellite ground station to another.
• In general, Bing directs users to conspiracy-related content, even if they aren’t explicitly looking for it. For example, if you search Bing for comet ping pong, you get Pizzagate-related content in its top 50 results. If you search for fluoride, you get content accusing the U.S. government of poisoning its population. And if you search for sandy hook shooting, you will find sources claiming that the event was a hoax. Google does not show users conspiracy-related content in its top 50 results for any of these queries. (Stanford Internet Observatory)
• In 2000, Lucas Introna and Helen Nissenbaum published a paper called “Shaping the Web: Why the Politics of Search Engines Matters.” Examining how the internet had developed to that point and where it was likely to go next, Introna and Nissenbaum identified a specific threat facing the public: search engines, they argued, could conceivably be “colonized by specialized interests at the expense of the public good” and cease to be reliable, more or less transparent sources of information. If the authors’ fears of rampant commercialism affecting the way search engines operate were prophetic, it has also become clear that commercial interests are only part of the problem. If Google became a public utility tomorrow, societies would still have to come up with ethical standards for how to deal with harmful content and the vectors, such as data voids, by which it reaches users. 
  • Add cite to the “diversity is algorithmically crowded out” line in the ethical considerations section?