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Sprache: Englisch
Verlag: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032766603 ISBN 13: 9781032766607
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Hardcover. Zustand: new. Hardcover. This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization.Key features:Explores security experiments in emerging postCMOS technologies using AI, including side channel attackresistant embedded systemsDiscusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systemsConsiders ethical and societal implications of embedded AI visavis the need for responsible development and deployment of embedded AI systemsFocuses on applicationbased research and case studies to develop embedded AI systems for reallife applicationsExamines highend parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiencyThis reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence. This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization.Key features:Explores security experiments in emerging postCMOS technologies using AI, including side channel attackresistant embedded systemsDiscusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systemsConsiders ethical and societal implications of embedded AI visavis the need for responsible development and deployment of embedded AI systemsFocuses on applicationbased research and case studies to develop embedded AI systems for reallife applicationsExamines highend parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiencyThis reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence. This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Zustand: new. Hardcover. This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization.Key features:Explores security experiments in emerging postCMOS technologies using AI, including side channel attackresistant embedded systemsDiscusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systemsConsiders ethical and societal implications of embedded AI visavis the need for responsible development and deployment of embedded AI systemsFocuses on applicationbased research and case studies to develop embedded AI systems for reallife applicationsExamines highend parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiencyThis reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence. This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities.