Identifying the best possible aluminum can design involves 26 parameters and 67 million finite element computations. Thanks to Intel #HPC and SigOpt's Intelligent Experimentation Platform, @Novelis was able to accelerate the iterative design process: https://t.co/4rFVsWVTu6
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A new @IntelBusiness feature Advanced Matrix Extensions (AMX) was designed to accelerate deep learning training and inference. Learn how it works in this short video: https://t.co/z7YTKsReLO
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Which SigOpt module is right for your work? Learn more about the difference between our two main API interaction models – Core and AI: https://t.co/vdLh15bNtn https://t.co/pvGjpqiUYP
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