Phil 3.16.20

7:00 – 5:00 ASRC PhD/GOES

  • Working from home for the duration of the COVID-19 pandemic. It’s estimated that we are approximately 10 days behind Italy, So I’m hoping that when things start to get better there, it will be a head’s up that things might start to get better here.

(Via Corriere delle Sera)

  • Needless to say, things are not getting better there yet.
  • So, before the university gets to the point where it can’t handle the submission of the dissertation, I’m going to work on getting the revisions done and submitted.
    • Finished first pass through Limitations and Research chapter
    • Tried to start on fixing the conclusions but ran out of motivation
  • #COVID-10 meeting at noon –
    • Set up folders for lit, assets, software and data
    • Started a rough draft of the (chi 2021?) paper
  • Write BSO about moving Mahler to Bach/Radiohead – done
  • Started to work through the SDaaS paper with John D.
  • From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times
    • Modeling immensely complex natural phenomena such as how subatomic particles interact or how atmospheric haze affects climate can take many hours on even the fastest supercomputers. Emulators, algorithms that quickly approximate these detailed simulations, offer a shortcut. Now, work posted online shows how artificial intelligence (AI) can easily produce accurate emulators that can accelerate simulations across all of science by billions of times.

John’s Hopkins gets dashboard of the day

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