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Finding And Fixing ML’s Flaws

By Ed Sperling, Semiconductor Engineering

OneSpin CEO Raik Brinkmann sat down with Semiconductor Engineering to discuss how to make machine learning more robust, predictable and consistent, and new ways to identify and fix problems that may crop up as these systems are deployed. What follows are excerpts of that conversation

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Brinkmann: The real objective is to not have a problem in the first place. We need to build methodologies to develop these machine learning systems in the first place. Those are not established yet. There is a lot of work to be done to be able to say, ‘This is how you do it,’ and ‘This is how you prevent this type of problem.’

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