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Revolutionizing Resource-Constrained Devices with Cutting-Edge HIMAX Edge AI Processors

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Manage episode 466464673 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Unlock the fascinating world of edge AI technology with insights from Karan Kapoor of Himax Technologies. Discover how Karan and his team are pioneering the development of ultra-low-power AI processors designed for resource-constrained devices. We'll explore their latest innovation, the WE2 processor, which optimizes the balance between model size, speed, energy efficiency, and accuracy. Karan shares the intricacies of integrating hardware and software systems, along with groundbreaking AI applications like facial recognition and keyword spotting, all while staying true to Hymax's mission of making AI cost-effective and accessible for all.
In the second segment, we spotlight a transformative partnership that brings Wwiseit2 into Edge Impulse's AI ecosystem. This collaboration is a game-changer, introducing a no-code platform that simplifies data collection and synthetic data generation. We unravel the process from model design to testing, supported by an AutoML feature that ensures precision. With ARM's Ethos U55 powering the AI processor, the episode explores how partnerships with innovators like GrowVision AI are crafting an advanced ecosystem. Developers, stay ahead of the curve by following these cutting-edge developments on platforms like LinkedIn and GitHub.

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Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

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Chapters

1. Revolutionizing Resource-Constrained Devices with Cutting-Edge HIMAX Edge AI Processors (00:00:00)

2. Innovations in Edge AI Technology (00:00:06)

3. Exciting Partnership in Edge AI (00:14:23)

38 episodes

Artwork
iconShare
 
Manage episode 466464673 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Unlock the fascinating world of edge AI technology with insights from Karan Kapoor of Himax Technologies. Discover how Karan and his team are pioneering the development of ultra-low-power AI processors designed for resource-constrained devices. We'll explore their latest innovation, the WE2 processor, which optimizes the balance between model size, speed, energy efficiency, and accuracy. Karan shares the intricacies of integrating hardware and software systems, along with groundbreaking AI applications like facial recognition and keyword spotting, all while staying true to Hymax's mission of making AI cost-effective and accessible for all.
In the second segment, we spotlight a transformative partnership that brings Wwiseit2 into Edge Impulse's AI ecosystem. This collaboration is a game-changer, introducing a no-code platform that simplifies data collection and synthetic data generation. We unravel the process from model design to testing, supported by an AutoML feature that ensures precision. With ARM's Ethos U55 powering the AI processor, the episode explores how partnerships with innovators like GrowVision AI are crafting an advanced ecosystem. Developers, stay ahead of the curve by following these cutting-edge developments on platforms like LinkedIn and GitHub.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

Chapters

1. Revolutionizing Resource-Constrained Devices with Cutting-Edge HIMAX Edge AI Processors (00:00:00)

2. Innovations in Edge AI Technology (00:00:06)

3. Exciting Partnership in Edge AI (00:14:23)

38 episodes

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