OpenAI strikes a deal with the Defense Department to deploy its AI models

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Dr Greg Leo, an economist at Vanderbilt University in Nashville, Tennessee, has come up with a compatibility algorithm. It finds that not only might you have a "One" you have lots of "Ones".

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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:

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