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�o�T�FNeoclouds size up enterprise opportunities�iCIO Dive�j��1�FRegulatory risks push cloud leaders to alter infrastructure plans�iCIO Dive�j��2�FNeoclouds helped drive Q3 cloud market surge�iChannel Dive�j��3�F4 tips for evaluating cloud AI providers�iCIO Dive�j��4�FTen Trends That Shaped the Cloud Market in 2024�iIDC�j��5�FThe evolution of neoclouds and their next moves�iMckinsey & Company�j��6�FCoreWeave Expands Agreement with OpenAI by up to $6.�iCoreWeave�j��7�F5 channel trends for 2026�iChannel Dive�j
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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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