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Renesas - Bringing Intelligence to the Edge

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2 BRINGING INTELLIGENCE TO THE EDGE Terms Of Use: ©2023 Mouser Electronics, Inc., a TTI Berkshire- Hathaway company. Mouser and Mouser Electronics are registered trademarks of Mouser Electronics, Inc., Renesas Electronics Corporation, logo, product names, service marks, are trademarks, registered trademarks of Renesas Electronics Corporation. All other trademarks are the property of their respective owners. Names, products, specifications, links, resources, and similar were verified at the time of publication. Article content, reference designs, datasheets, conceptual illustrations, and other images provided herein are for informational purposes only. C O N N E C T W I T H M O U S E R Contents 3 Foreword 4 AI in IoT Endpoints 7 Revolution of Endpoint AI in Embedded Vision Applications 11 Vision AI Gateway Solution 12 Implementing Machine Learning at the Edge 14 Four Metrics You Must Consider When Developing TinyML Systems 16 Data Science and AI-Driven Real-Time Analytics 21 Endpoint MCU Implementation of Voice User Interface 25 Reality AI: A Game Changer in Sensor Data Analysis ChatGPT has shown us the tremendous potential of large language models when trained properly, and we are just getting started. What is equally fascinating is the other extreme, where artificial intelligence (AI) and machine learning (ML) are built to run within highly constrained environments, a field now known as TinyML.

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