"Machine learning is often thought to be too complicated for everyday development tasks. We often associate it with things like big data, data mining, data science, and artificial intelligence. Sometimes it feels something like this:"
"Bcfg2 helps system administrators produce a consistent, reproducible, and verifiable description of their environment, and offers visualization and reporting tools to aid in day-to-day administrative tasks. It is the fifth generation of configuration management tools developed in the Mathematics and Computer Science Division of Argonne National Laboratory.
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"We present a realtime approach for multi-person 2D pose estimation that predicts vector fields, which we refer to as Part Affinity Fields (PAFs), that directly expose the association between anatomical parts in an image. The architecture is designed to jointly learn part locations and their association, via two branches of the same sequential prediction process."
"Flood fill, also called seed fill, is an algorithm that determines the area connected to a given node in a multi-dimensional array. It is used in the "bucket" fill tool of paint programs to fill connected, similarly-colored areas with a different color, and in games such as Go and Minesweeper for determining which pieces are cleared. When applied on an image to fill a particular bounded area with color, it is also known as boundary fill."
"Did you know that your car will take in 20,000 cubic feet of air to burn 20 gallons of fuel? That's the equivalent of a 2,500 sq. ft. house! If your only experience with a car engine's inner workings is "How much is that going to cost to fix?" this graphic is for you. Car engines are astoundingly awesome mechanical wonders. It's time you learned more about the magic under the hood!"