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
Автор: Ashutosh Mishra, Jaekwang Cha, Hyunbin Park
Издательство: Springer
Год: 2023
Страниц: 358
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB
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. Smart technologies and an intelligent society are the demand of this era. Artificial Intelligence (AI) and Deep Learning (DL) algorithms are playing a vital role to cater these demands to meet the expectations of the smart world and intelligent systems. Increased computing power, sensor data, and improved AI algorithms are driving the trend toward Machine Learning (ML) in cloud-based and edge-based intelligence. Both are applicable through intelligent devices, wearable electronics, smartphones, automobiles, robots, drones, etc. However, efficient hardware can solely accomplish the required performance of implementing these algorithms. Therefore, AI accelerators are the state-of-the-art research area for circuits and systems designers and academicians. AI accelerators are needed to cater to the insatiable demands of compute-intensive AI applications.