Want to explore the exciting possibilities of Edge AI? The 2023 Edge AI Technology Report offers a deep dive into the convergence of AI and edge computing, providing practical insights and highlighting the future of AI deployment. This report is in partnership with tinyML Foundation and sponsored by Arduino, Arm, Edge Impulse, SparkFun Electronics, Inc., among others. Download for free: https://wevlv.co/edge-ai-fb #edgeai #artificialintelligence #aiattheedge #autonomousvehicles #smarthomes #edge
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Learn to deploy AI models to edge devices in our new short course "Introduction to On-Device AI," created with Qualcomm and taught by Senior Director of Engineering Krishna Sridhar. On-device (edge) AI is an important technology trend that's enabling new low latency, privacy-preserving applications. In this course, you'll deploy a real-time image segmentation model on-device, and through this learn key steps for on-device deployment: Neural Network graph capture, on-device compilation, hardware
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