ARM IoT and Edge AI Explained: The Future of Microcontrollers, AI Chips and Embedded Systems
From The Electropages Podcast by Electropages
September 8, 2025 · 41 min
About this episode
This episode explores how ARM is shaping the future of IoT, embedded systems, and edge AI with insights from Paul Williamson.
In this episode of the Electropages Podcast, we explore how ARM is shaping the future of IoT, embedded systems, and edge AI. Learn how ARM's microcontrollers, processors, and AI accelerators are enabling faster, smarter, and more power-efficient devices across industries. Joining us is Paul Williamson, SVP and GM of IoT at ARM, who shares insights from the front lines of architecture innovation, developer ecosystem growth, and AI enablement at the edge. We cover: How ARM Cortex-M and Cortex-A cores are used in modern IoT devices Why developers choose ARM for embedded software and real-time systems How edge AI is transforming robotics, industrial automation, and consumer electronics The role of the ARM Ethos-U processor family in AI inference acceleration Why Python, embedded Linux, and microcontroller performance are changing how we build edge systems Whether you're an embedded developer, hardware engineer, or working with AI at the edge, this conversation offers deep technical insight into one of the most important architectures in the world.
People in this episode
Host: Electropages
Guest: Paul Williamson
Topics covered
- IoT
- embedded systems
- edge AI
- microcontrollers
- AI chips
- architecture innovation
Keywords
- ARM
- IoT
- embedded systems
- edge AI
- microcontrollers
- AI accelerators
- Cortex-M
- Cortex-A
- AI inference
- Python
Mentioned in this episode
Organizations: ARM
Products: ARM Cortex-M, ARM Cortex-A, ARM Ethos-U
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