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STMicroelectronics - Intelligence at the Edge

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Intelligence at the Edge 2 Terms Of Use: ©2022 Mouser Electronics, Inc., a TTI Berkshire-Hathaway company. Mouser and Mouser Electronics are registered trademarks of Mouser Electronics, Inc., STMicroelectronics Corporation logo, product names, service marks, are trademarks, r e g i s t e r e d t r a d e m a r ks o f ST M i c r o e l e c t r o n i c s 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. Connect with Mouser MARC DUPAQUIER is Managing Director for the Artificial Intelligence Business Line at ST Microelectronics, a Team that provides Hardware and Software solutions for embeddable AI. Marc joined ST with the Cartesiam acquisition in July 2021. Marc, a co-founder of Cartesiam and the Managing Director for the company. Before founding Cartesiam in 2017, Marc spent most of his career with IBM, initially in Europe and then in the US, where he had a number of executive positions in Sales, Marketing, and General Management. He led the Global Marketing teams for all Hardware and Software Products, was the General Manager for the iconic AS/400 mainframe line and Mid-Market Divisions, and managed the Global Business Partner Team that drove $14B sales at the time he left IBM to start Cartesiam. Marc is a graduate from Toulouse Business School and has a Master in Business Management from the London School of Economics. When he doesn't work, Marc has a passion for all sports, with a special affection for rugby, a sport that he played competitively for over 30 years. Contents 3 Local Machine Learning for Responsive AI at the Edge 4 The Rise of Machine Learning for Edge-AI Devices 10 Adding Intelligence to Every Thing Everywhere with Edge-AI 12 Paving the Way for AI at the Edge 16 Discussing the Frontier Edges of AI and ML 20 From Illusion to Reality: The Binarization of AI 24 Embedded Neural Networks Approach 28 Intelligent Sensors at the Edge of the Edge Foreword

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