Isbn: 9781032770673 - embedded artificial intelligence: real-life applications and case studies (9 resultados)

- Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 86,96
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 94,71
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 83,65
Envío por EUR 11,01Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 103,32
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. 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 post-CMOS technologies using AI, including side channel attack-resistant 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 vis-a-vis the need for responsible development and deployment of embedded AI systemsFocuses on application-based research and case studies to develop embedded AI systems for real-life applicationsExamines high-end 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.…

- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 106,68
Envío por EUR 14,71Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 310 pages. 6.14x0.68x9.21 inches. In Stock.

- Tapa blanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 80,24
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Arpita Nath Boruah is an Assistant Professor, Programme Computer Science and Engineering in the Faculty of Engineering and Technology at Assam Down Town University, Assam, India. She earned her doctorate degree from the National Institut.

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 108,28
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - 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 post¿CMOS technologies using AI, including side channel attack¿resistant embedded systems - Discusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systems - Considers ethical and societal implications of embedded AI vis¿ävis the need for responsible development and deployment of embedded AI systems - Focuses on application¿based research and case studies to develop embedded AI systems for real¿life applications - Examines high¿end parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiency This reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence.…

- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 100,28
Envío por EUR 76,48Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. 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 post-CMOS technologies using AI, including side channel attack-resistant 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 vis-a-vis the need for responsible development and deployment of embedded AI systemsFocuses on application-based research and case studies to develop embedded AI systems for real-life applicationsExamines high-end 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.…

- Tapa blanda
- Impresión bajo demanda
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 69,34
Envío por EUR 32,88Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. 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.…