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    Reza Zadeh – Video Object Detection at Scale

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    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.

    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.

    Contest Update

    Thank everyone who’s taken the time to enter our AI Conference giveaway. We’ve got a couple of exciting updates for those of you who want in on this opportunity. First, we’re making it even easier to enter our ticket giveaway for the San Francisco event! Second, we’re giving away two tickets now, not one! To enter the contest in 30 seconds or less just hit pause now and visit twimlai.com/aisf right from your phone!

    Thanks to Our Sponsor

    Intel Nervana LogoA 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.

     

    About Reza

    Mentioned in the Interview

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