Artificial intelligence and hardware accelerators / / Ashutosh Mishra [and three others], editors

• Record Nr.: UNINA9910682554803321
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]; ©2023
• ISBN: 3-031-22170-2
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (358 pages) : illustrations
• Disciplina: 006.3
• Soggetti: Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Introduction -- AI Hardware Accelerators -- AI Accelerators for Standalone Compute -- AI Accelerators for Servers and Cloud Applications -- AI Accelerators for Configurable Hardware -- Hardware Architecture for Smartphones -- Software and Benchmark for Smartphones -- Hardware Accelerators for Autonomous Vehicles -- Hardware Accelerators in Embedded Systems -- Processing-In-Memory based Hardware Accelerator -- Emerging CNN Hardware Architectures for Energy-efficient AI -- Neuromorphic Hardware Accelerators.
• Sommario/riassunto: This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators.