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Edge AI is revolutionizing how computers interact with the environment, enabling IoT devices to make decisions based on the 99% of information from sensors that was previously discarded due to cost, bandwidth or energy constraints. With methods like machine learning on devices, developers have the ability to encapsulate human intuition and apply it to varied goals, from low power microcontrollers but also Linux embedded devices. This practical guide provides engineering professionals, including product managers and technology leaders, with a comprehensive framework to address real-world industrial, business, and scientific challenges using edge AI. You will immerse yourself in every phase of the process, from data capture to model optimization and evaluation, learning how to design and support integrated edge AI and ML products. Edge AI is shaping up to be an essential tool for systems engineers.
This compendium gives you a roadmap to start your path. Expand your knowledge in AI and ML for edge devices. Identify which projects benefit the most from the application of edge AI. Discover key design patterns for edge AI deployments. Learn about an iterative cycle for AI system development. Form a team capable of solve challenges from the real world. Stick to a responsible AI process to create effective solutions.
Get involved in the cutting edge of technology and start exploring the limitless potential of Edge AI with this essential guide. Purchase your copy now and take the first step towards creating innovative solutions!
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