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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 - #301 - Marc Bolitho - CEO, Recogni
AI in Automotive Podcast
42 minutes
2 years ago
AI in Automotive - #301 - Marc Bolitho - CEO, Recogni
If you, like me, grew up using Windows 3.1, then you are familiar with the dreaded Blue Screen of Death. One of the reasons for that blue screen - in simple terms - was that the computer had run out of resources to run all the tasks that were being demanded of it. I have news for you - that reality may be coming to your car sooner than you think. We are putting increasing amounts of computational demands on the modern vehicle. The increasing number of sensors, the increasing resolution ...
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 ...