I have had an Arduboy for a couple of years already (I just wrote a dumb Mandelbrot set renderer, but I can’t find the code or pictures). I ignored it for a long while and then found out the amazing new games available for it. I have played Starduino, and it is impressive, even more after reading the details here.
This is a very clickbaity title, for a minor breakthrough in computing states of PDEs using deep learning. I’m not sure what the fuss is: deep learning and NNs in general is high-dimensional function approximation. Solving PDEs is, too. So? Probably the most awesome part is that MC Hammer retweeted the related paper.
A NY times piece that reads a bit like “America’s Worst Nomad Workers”. Chuckled out loud at this one:
[…] went to the immigration bureau and asked for political asylum.
“I said, ‘Trump’s a dictator, my city is burning, and people are dying,’” he said, citing the president, protests against police violence and the virus. “They made a joke that I was the first person since the Vietnam War from America to ask for that.”
An entertaining talk by the author of the Rockstar programming language, worth watching only to get to the grand finale. Some minor gripes: the basis for the study of iterated complex polynomials (and functions) was laid by Pierre Fatou (our first cat was named Fatou 😿) and Gaston Julia (born the same day as me), and the first image of the Mandelbrot set was by Robert Brooks and Peter Matelski. I used to work in this field, so these stood out as sore thumbs in an otherwise excellent talk (so for people not in the area, it’s just an excellent talk!).