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
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How Much You Should Be Saving for Retirement
There are a lot of variables to consider, but for people of middle income, here’s a suggestion, based on when you start saving and when you want to retire.
What are the ingredients that make each cuisine? I looked at 40,000 recipes spanning 20 cuisines and 6,714 ingredients to see what makes food taste different.
Data Underload #3 – The Resolution Cycle
Late at night, the new year’s resolution longed for a straight line.