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Predefined models offer a powerful starting point for understanding edge AI. However, Christopher shares how you can easily expand those capabilities by training and deploying your own models in Arduino App Lab through its native Edge Impulse integration.

Arduino

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14,618 次观看 • 1 个月前 •via X (Twitter)

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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.

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The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:

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