MCUs accelerate multimodal edge AI

<img width="700" height="455" src="https://www.edn.com/wp-content/uploads/Synaptics-SR200.png?fit=700%2C455" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://www.edn.com/wp-content/uploads/Synaptics-SR200.png?w=700 700w, https://www.edn.com/wp-content/uploads/Synaptics-SR200.png?w=300 300w" sizes="auto, (max-width: 700px) 100vw, 700px" /><p>The Synaptics Astra SR200 series of xMCUs runs multimodal AI workloads without the memory and compute limitations of conventional MCUs.</p> <p>The post <a href="https://www.edn.com/mcus-accelerate-multimodal-edge-ai/">MCUs accelerate multimodal edge AI</a> appeared first on <a href="https://www.edn.com">EDN</a>.</p>