Blockchain and Deep Learning - Future Trends and Enabling Technologies (1st ed. 2022)

This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 105
Release date:	March 2023
First published:	2022
Editors:	Khaled R. Ahmed • Henry Hexmoor
Dimensions:	235 x 155mm (L x W)
Pages:	349
Edition:	1st ed. 2022
ISBN-13:	978-3-03-095421-5
Categories:	Books
LSN:	3-03-095421-8
Barcode:	9783030954215

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