Accelerated Embedded Systems for Physical AI

Hailo’s Yaniv Sulkes talks about physical AI and how hardware acceleration helps address challenges.

William G. Wong

Yaniv Sulkes

Related To:

Electronic Design

May 26, 2026

2 min read

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What you’ll learn:

Types of embedded tasks that need to be addressed for physical AI.
How Hailo AI accelerators help with physical AI projects.

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Physical AI is the latest term for robot and drones with a mix of artificial intelligence (AI) that allows them to be smarter and more robust. The latest crop of physical AI devices integrates 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 podcast, I talk with Yaniv Sulkes, Vice President of Physical AI at Hailo, about issues and solutions related to physical AI systems. We touch on some of Hailo’s AI hardware accelerators like the Hailo-8 and Hailo-10 (see figure). It supports large language models (LLMs) and visual language models (VLMs).

The Hailo-10 M.2 module supports large language models (LLMs) and visual language models (VLMs).

Hailo-10 delivers 40 TOPS of INT4 performance while consuming less than 2.5 W.

The Hailo-15 is a family of system-on-chip (SoC) AI platforms targeting imaging applications including physical AI. They incorporate an image signal processor (ISP) supporting advanced video analytics. It uses AI models to handle low-light denoising (<0.01LUX). All of this while consuming under 3 W of power.

Perceive, reason, and act are how people normally partition physical AI operation. The first is where Hailo SoCs come into play, allowing recognition of objects in its environment. This includes handling multiple camera data streams running AI models on this data. The Hailo-10 and Hailo-15 can also run more sophisticated models for reasoning.

About the Author

William G. Wong

Senior Content Director - Electronic Design and Microwaves & RF

I am Editor of Electronic Design focusing on embedded, software, and systems. As Senior Content Director, I also manage Microwaves & RF and I work with a great team of editors to provide engineers, programmers, developers and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.

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Check out my blog, AltEmbedded on Electronic Design, as well as his latest articles on this site that are listed below.

You can visit my social media via these links:

I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.

I still get a hand on software and electronic hardware. Some of this can be found on our Kit Close-Up video series. You can also see me on many of our TechXchange Talk videos. I am interested in a range of projects from robotics to artificial intelligence.

Yaniv Sulkes

Vice President of Physical AI, Hailo

Yaniv Sulkes is Vice President of Physical AI at Hailo. He earned a Bachelor of Science in Industrial Engineering and a Masters of Science in Electrical Engineering from Tel Aviv University. He earned an Executive Certificate in Management and Leadership from the MIT Sloan School of Management.