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AI in Automotive Podcast
Jayesh Jagasia
45 episodes
3 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
#204 - Anshuman Saxena - Head of AD/ADAS, Qualcomm Technologies
AI in Automotive Podcast
39 minutes
2 years ago
#204 - Anshuman Saxena - Head of AD/ADAS, Qualcomm Technologies
Electric Vehicles might look and drive like normal cars, but scratch beneath the surface and you will realise that they are fundamentally different at an architectural level. With the modern car being so much more than merely its mechanicals, I learnt that digital architecture in cars is a thing. The hardware - system on chip, or SoCs, processors and screens, combined with the software - the operating system, middleware and applications bring to life so many elements of the modern car 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 ...