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In the span of a few short years, artificial intelligence has moved from fiction and research to increasingly becoming part of our personal and professional lives. Advances in processing performance and machine learning approaches have dramatically improved accuracy and effectiveness and are enabling diverse applications such as self-driving cars, visual search, internet security, genetic analysis, and speech recognition.
But we still have quite a way to go to fully exploit this technology and optimizing these complex learning systems remains a key challenge. In this article we will explore current issues, intelligent approaches to optimizing these systems, and take a view into where the state of the art is heading.