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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 boss fight that Liam coded
We don’t have a single verb to express smelling something nice. Welsh and Croatian, by contrast, are never caught short when something fragrant gets right up your nose
But Ricks said current AI capabilities are only a drop in the bucket compared to the need for additional scientific research. “We can get a machine to predict things pretty well, like predicting the structure of a protein,” he said. “But that is one maybe 1,000th of the kind of problems we face in drug discovery.”