At Jefferson Lab we have several GPU nodes dedicated to AI projects. We have several CPU nodes as well for parallel computations that does not require GPUs.
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There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms. Much of this research is focused on explicitly explaining decisions or actions to a human observer, and it should not be controversial to say that looking at how humans explain to each other can serve as a useful starting point for explanation in artificial intelligence.
Review work in machine learning on methods for handling data sets containing large amounts of irrelevant information.