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AI in Automotive Podcast
Jayesh Jagasia
45 episodes
4 months ago
There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...
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There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...
Show more...
Marketing
Technology,
Business
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/70/07/f9/7007f977-784c-4e76-0189-4b019232e920/mza_10279537135991083243.jpg/600x600bb.jpg
AI in Automotive - #405 - Andrew Fleury, CEO Luna Systems and Chris Tingley, CEO EVWare
AI in Automotive Podcast
49 minutes
1 year ago
AI in Automotive - #405 - Andrew Fleury, CEO Luna Systems and Chris Tingley, CEO EVWare
Since the beginning of time, cities have been incredibly important to civilization. Today, the World Bank estimates that cities contribute 80% of global GDP. Cities are central to our growth and prosperity, but every single major city in the world is facing challenges ranging from poor air quality to creaking infrastructure. So how do cities evolve to prepare for the future? And what role does AI play in this evolution? On this unique episode of the AI in Automotive Podcast, I invited t...
AI in Automotive Podcast
There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers. On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason ...