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 ...
All content for AI in Automotive Podcast is the property of Jayesh Jagasia and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 ...
AI in Automotive - #502 - Johanna Izett, Hive Power
AI in Automotive Podcast
41 minutes
10 months ago
AI in Automotive - #502 - Johanna Izett, Hive Power
Your EV is so much more than a car to take you from point A to point B. The energy it stores in its battery is a whole world of possibilities when you are not using the car. Which, let’s face it, for most of us, is the vast majority of the day. During these times, your EV is a ‘decentralised energy resource’ - one that can help the grid in a variety of ways. One of the most interesting ways in which EVs are accelerating the mobility-energy convergence is through virtual power plans, or VPPs. ...
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 ...
