If you ever wondered what it looks like when QWOP-like figures learn to walk through mutation as dictated by a simplified genetic algorithm, here’s your answer. Rafael Matsunaga made a simulation that starts with a bunch of walkers, and the one that stays upright the longest moves on to the next generation. Adjust the probability of mutation and the amount, and there’s a chance the next generation of walkers could go further.
Genetic algorithm walkers
Shifting Incomes for American Jobs
For various occupations, the difference between the person who makes the most and the one who makes the least can be significant.
10 Best Data Visualization Projects of 2017
It was a rough year, which brought about a lot of good work. Here are my favorite data visualization projects of the year.