Today we bring you our final interview from backstage at the NYU FutureLabs AI Summit. Our guest this week is Matt Zeiler. Matt graduated from the University of Toronto where he worked with deep learning researcher Geoffrey Hinton and went on to earn his PhD in machine learning at NYU, home of Yann Lecun. In 2013 Matt’s founded Clarifai, a startup whose cloud-based visual recognition system gives developers a way to integrate visual identification into their own products, and whose initial image classification algorithm achieved top 5 results in that year’s ImageNet competition. I caught up with Matt after his talk “From Research to the Real World”. Our conversation focused on the birth and growth of Clarifai, as well as the underlying deep neural network architectures that enable it. If you’ve been listening to the show for a while, you’ve heard me ask several guests how they go about evolving the architectures of their deep neural networks to enhance performance. Well, in this podcast Matt gives the most satisfying answer I’ve received to date by far. Check it out. I think you’ll enjoy it.
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The Future of Data Summit
I invite you to join me at the Future of Data Summit, an event I’m organizing in conjunction with the Interop ITX conference in Las Vegas. At the event you’ll learn from industry leaders and technology users on how they’re taking advantage of emerging data-centric technologies like IoT, blockchain, deep learning, and more. To learn more about the Summit visit twimlai.com/futureofdata. The code I provide on that page, which is simply my last name, CHARRINGTON, provides TWiML listeners with a 20% discount when they register for Interop.
Get Your Stickers
Yep, we’ve got some nice new stickers for the podcast, and we want to give you one! We’re continuing the sticker contest we kicked off last week. Send us your favorite quote from today’s show via a comment or post on Facebook, Twitter, Youtube or SoundCloud, as well as via this show notes page, and we’ll send a sticker your way!