The professor and the pendulums.
We know what will happen when one pendulum swings. But two?
'Oxford Mathematicians and their Toys', episode three, starring @jon_ox (and the pendulums).
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
Marvelously rich, detailed article by @jordanacep about the quest to prove the Mandelbrot set is “locally connected” — the deepest unsolved problem about the world’s most famous fractal.
https://t.co/gihe7fVONV
In 1890, Henri Poincaré proved the non-existence of the uniform first integral of the three-body problem and the sensitive dependence to initial conditions of its trajectories.
Yet, stable solutions to it do exist and these are some of them.
https://t.co/haECKnWsfp
Can machine learning predict chaos? My new paper performs a large-scale comparison of modern forecasting methods on a giant dataset of 135 chaotic systems. (1/N)
https://t.co/bOD3C1qTxY
@TexasScience@OdenInstitute@UTPhysics
It turns out that sparkling water and raisins are *fascinating*. My daughter and I happened upon this effect playing together in the kitchen a long time ago, and I couldn't help but explore the system more deeply... 1/n https://t.co/wNBX7nnGJS
Some news... after 16+ years at Georgia Tech, the group is moving to @UofMaryland. Grateful for friends, colleagues, and community in Atlanta & looking forward to exploring viral dynamics (and beyond) at UMD.
https://t.co/yPD1nxVdpT
I don't think I've ever said "Very, very, VERY exciting!" before, but John Dabiri of @Caltech got me saying it at 29:14 in this podcast. Listen in to see why! I promise you'll love this episode. It's a special one. https://t.co/zuEvGQ75Ox