Model Cascading: Optimize AI Performance on Embedded Devices @ElektorIndustry
Model Cascading: Optimize AI Performance on Embedded Devices  @ElektorIndustry
Uploaded March 2025 | Updated September 2026, 3 weeks ago
Edge Impulse has been acquired by Qualcomm, but what does this mean for developers, the ML community, and the future of AI on microcontrollers? 🤔

At Embedded World 2025, we spoke with Serge Maillet to discuss:
🔹 What model cascading is and how it improves efficiency
🔹 Running Visual Language Models (VLMs) on embedded devices
🔹 The challenges of deploying LLMs on microcontrollers
🔹 How Edge Impulse integrates LLMs to enhance dataset training
🔹 Why Qualcomm’s acquisition is a game-changer for embedded AI

Plus, we explore whether LLMs will fit inside microcontrollers and how TinyML is evolving to handle complex AI workloads at the edge.

📌 Don’t miss this deep dive into the future of AI-powered embedded systems!
#EmbeddedAI #MachineLearning #Qualcomm #EdgeImpulse #AI #LLM #TinyMLElektor

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Model Cascading: Optimize AI Performance on Embedded Devices

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