Hardware Accelerator Systems for Artificial Intelligence and Machine Learning (Volume 122) (Advances in Computers, Volume 122)

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning (Volume 122) (Advances in Computers, Volume 122)

Author
Shiho Kim (editor), Ganesh Chandra Deka (editor)
Publisher
Academic Press
Language
English
Edition
1
Year
2021
Page
416
ISBN
0128231238,9780128231234
File Type
pdf
File Size
23.6 MiB

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance

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