# Accelerated Embedded Systems for Physical AI

Page: https://stenobird.com/podcast/inside-electronics-6742169/accelerated-embedded-systems-for-physical-ai
Text version: https://stenobird.com/podcast/inside-electronics-6742169/accelerated-embedded-systems-for-physical-ai.md
Podcast: [Inside Electronics](https://stenobird.com/podcast/inside-electronics-6742169)
Published: 2026-05-26T05:22:00+00:00
Episode link: https://insideelectronics.podbean.com/e/accelerated-embedded-systems-for-physical-ai/
Audio file: https://mcdn.podbean.com/mf/web/cppzwbnwauer3pzh/IE121_hailo.mp3
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JSON: https://stenobird.com/v1/public/podcasts/inside-electronics-6742169/episodes/accelerated-embedded-systems-for-physical-ai
Duration seconds: 1262

## Resource

Physical AI is the latest term for robot and drones with a mix of AI allowing them to be smarter and more robust. The latest crop of physical AI devices include more sensors that feed more AI models to provide the robot with a better understanding of its environment. These sensors often include cameras and distance sensors like LiDAR and radar. In this episode, Yaniv Sulkes, Vice President of Physical AI at Hailo, talks about issues and solutions related to physical AI systems.

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## Transcript

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