Prof. Michael Mahoney, one of RISELab’s faculty members, was interviewed on O’Reilly Data Show Podcast. Topics included understanding deep neural networks and developing a practical theory for deep learning, the new Hessian AWare Quantization (HAWQ) framework for addressing problems pertaining to model size and inference speed/power, and how these relate to challenges at the foundations of data analysis.
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