In this episode, I’m joined by Andy Keller and Emile Chin-Dickey to discuss Intel’s partnership with the Ferrari Challenge North American Series.
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Andy is a Deep Learning Data Scientist at Intel and Emile is Senior Manager of Marketing Partnerships at the company. In this show, Emile gives us a high-level overview of the Ferrari Challenge partnership and the goals of the collaboration. Andy & I then dive into the AI aspects of the project, including how the training data was collected, the techniques they used to perform fine-grained object detection in the video streams, how they built the analytics platform, some of the remaining challenges with this project, and more!
Enter Our #MyAI Contest!
In this week’s interviews, our AI in Consumer Electronics series, you’ll hear from some great people who help me explore some of the very cool ways that machine learning and AI are being used to enhance our everyday lives.
A few of these companies have provided us with products to give away, and we’re excited to launch the #MyAI contest. To enter, we want to hear from YOU, about the role AI is playing in your home and your personal life, your favorite example of home/personal AI, and/or where you see it all going. So, fire up your webcam or smartphone camera, and get ready to tell us your story!
We’ll post the videos to Youtube and the video with the most likes wins their choice of great prizes including an Anki Cozmo, a Lighthouse smart home camera, or a Google Home Mini! (First prize gets first pick, second prize gets second pick, etc.) Submissions will be open through Feb 11th, and voting will remain open through Feb 18th.
Thanks to our sponsor!
I’d like to thank our friends at Intel AI for their continued support of the podcast. Intel was extremely active at this year’s CES, with a bunch of AI, autonomous driving and VR related announcements. One of the more interesting partnerships announced was a collaboration with the Ferrari Challenge North America race series. Along with the folks at Ferrari Challenge, Intel AI aspires to make the racing viewing experience more personalized by using deep computer vision to detect and monitor individual race cars via camera feeds, and allowing viewers choose the specific car’s feeds that they’d like to watch. Look for my conversation with Intel’s Andy Keller and Emile Chin-Dickey, episode 104 in this series, for an in-depth discussion about this project, and be sure to visit ai.intel.com where you’ll find Andy’s technical blog post on the topic!
And of course, be sure to check out some of the great names that will be at the AI Conference in New York, Apr 29–May 2, where you’ll join the leading minds in AI, Peter Norvig, George Church, Olga Russakovsky, Manuela Veloso, and Zoubin Ghahramani. Explore AI’s latest developments, separate what’s hype and what’s really game-changing, and learn how to apply AI in your organization right now. Save 20% on most passes with discount code PCTWIML. Early price ends February 2!
Mentioned in the Interview
- Enter the #MyAI Contest Now!!
- Intel AI
- Ferrari Challenge North America Series
- Intel AI/Ferrari Challenge Partnership Blogpost
- KITTI Dataset
- Pascal VOC
- MAML – UC Berkeley
- NEON Github
- Register for the Artificial Intelligence Conference here!
- Check out @ShirinGlander’s Great TWIML Sketches!
- TWIML Presents: AI in Consumer Electronics
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0