Seeing is expensive – how does the brain optimize neural coding so it can see clearly when it matters? [Image courtesy LadyDragonFlyCC CC BY 2.0] … More Enhanced spatial resolution during locomotion
I finally had a chance to do something I’ve been meaning to do for a long time: post some notebooks on machine learning on GitHub. IPython notebooks are a great way to mix text, math, and code. I’ve been writing ipython notebooks for a while to teach myself some machine learning concepts; there’s no better … More ipython notebooks on machine learning
Deepmind built an AI that masters Go. How did they do it? A technical introduction. … More 5 easy pieces: How Deepmind mastered Go
“I don’t have time” – That’s probably the most common excuse for not exercising. But what if your mind was clearer, more efficient after you hit the gym? … More Exercise, be smarter, save time
The number game, which stems from Josh Tenenbaum’s PhD thesis, illustrates some important ideas about Bayesian concept learning. Here is a discussion of this in lecture notes from Kevin Murphy for reference. The basic setup is as follows: I give you a set of numbers from 1 to 100, and you try to guess another number in the set. For instance, I give … More Turing machines, the number game, and inference
