May 11, 2018
Andy and Dave discuss a couple of recent reports and events on AI, including the Sixth International Conference on Learning Representations (ICLR). Next, Edward Ott and fellow researchers have applied machine learning to replicate chaotic attractors, using "reservoir computing." Andy describes the reasons for his excitement in seeing how far out this technique is able to predict a 4th order nonlinear partial differential equation. Next, Andy and Dave discuss a few adversarial attack-related topics: a single-pixel attack for fooling deep neural network (DNN) image classifiers; an Adversarial Robustness Toolbox from IBM Research Ireland, which provides an open-source software library to help researchers in defending DNN against adversarial attacks; and the susceptibility of the medical field to fraudulent attacks. The BAYOU project takes another step toward giving AI the ability to program new methods for implementing tasks. And Uber Labs releases source code that can train a DNN to play Atari games in about 4 hours on a *single* 48-core modern desktop! Finally, after a review of a few books and videos, including Paul Scharre's new book "Army of None," Andy and Dave conclude with a discussion on potatoes.