@KyleCranmer@nyuniversity I sometimes wonder if I got COVID on the Metro North train home from this. At the time it was still supposed to be "only in China" but I never had such a bad cold in my life!
I've been having fun using machine learning to make chiptune audio. I wrote up a little hello world guide in case others want to experiment too :)
https://t.co/xna864VTFW
@johncarlosbaez@gro_tsen Correct, at low wimp masses, the energy transfer to the target nucleus becomes too small to detect. For higher masses, the local DM energy density is known to be ~0.3 GeV/cm3, so as mass increases, DM particle density decreases, limiting the "luminosity" of the experiment
@gfodor As a professional physicist (not sure if hardcore) I wasn't sure whether I should feel attacked. But then I re-read... can you link to a definition of physist? Google tries to correct me and if I insist on this term I only find results where people have misspelled physicist
This article also reinforces the common misconception that deep learning is all about flexibility. If that were true, we would only need RBF kernels, which are like infinite width neural networks. In actuality, inductive biases play a large role in the success of deep learning.
@BasicScienceSav "History of philosophy without any gaps" podcast is great! But it is LONG. The first ~40 eps are a nice intro of everything up to Aristotle though.
WHAT HAS OCCURRED CANNOT BE UNDONE
I have trained a neural net on a crowdsourced set of vintage jello-centric recipes
I believe this to possibly be the worst recipe-generating algorithm in existence
@BasicScienceSav Didn't they try this with cryptography and it didn't really work? It just made things a pain for companies, i.e. Java couldn't ship w/ crypto libs so you had to download open source ones separately
From @skdh’s brilliant “Lost in Math”. All physics curricula should include these lines, which should also be inscribed in all physics departments as a reminder.