The OpenAI-powered assistant's other duties sound potentially useful (and decidedly less creepy). It can answer workers' meal prep questions, like how many strips of bacon to put on burgers or instructions for cleaning the shake machine. It's also integrated into the chain's point-of-sale system, so it can tell managers when items are out of stock or machines are down.
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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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A new LSU research study suggests clustered pits in the Pioneer Terra region on Pluto are related to the dwarf planet's suprising robust atmosphere. The pits resemble gas pockmarks on Earth where methane seeps from the subsurface. These pits may supply atmospheric methane on Pluto.
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