Acceleration technologies that will boost HPC and AI efforts
This is the 5th and final article in a series that discusses the impact current and future acceleration technology will have on HPC and AI.
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
This is the 5th and final article in a series that discusses the impact current and future acceleration technology will have on HPC and AI.
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