My guest for the fourth show in the O’Reilly AI Series is Reza Zadeh. Reza is an adjunct professor of computational mathematics at Stanford University and founder and CEO of the startup Matroid. Reza has a background in machine translation and distributed machine learning, along with having helped build Apache Spark, and the”Who to Follow” feature on Twitter, which is based on a chapter from his PhD thesis. Our conversation focused on some of the challenges and approaches to scaling deep learning, both in general and in the context of his company’s video object detection service.
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Our conversation focused on some of the challenges and approaches to scaling deep learning, both in general and in the context of his company’s video object detection service. We also spoke about the advancement of computer vision technologies, using CPU’s, GPU’s, the upcoming shift to TPU’s and we get below the surface on Apache Spark.
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Thanks to Our Sponsor
A big thank you to Intel Nervana, who is supporting this podcast series. I’m very grateful to them for helping make this series possible, and I’m excited about the cool stuff they launched at the O’Reilly AI conference, including the Neon framework and Nervana Graph announcements. Be sure to check them out at intelnervana.com, and let them know via Twitter @IntelNervana how much you appreciate their support of the podcast.