£98.84

Springer - Frontiers in Fake Media Generation and Detection

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Description

Explore the latest advancements in artificial intelligence with Frontiers in Fake Media Generation and Detection. Published by Springer as part of the Studies in Autonomic, Data-driven and Industrial Computing series, this book addresses the growing challenges of synthetic media in the digital age. As AI technology evolves, understanding the methods used to create and identify fake media becomes essential for researchers and professionals. This volume provides a technical foundation for those studying computer science, machine learning, and data-driven computing. It serves as a specialized resource for academic study and professional development in the field of AI and machine learning. Whether you are a student or a working professional in the computing sector, this text offers deep insights into the current landscape of media authenticity. It is a key addition to any library focused on computer science and the evolving intersection of data and industrial computing.

Key Features

Published by Springer as part of the Studies in Autonomic, Data-driven and Industrial Computing series.

Focuses on the technical aspects of fake media generation and detection methods.

Provides specialized knowledge for the AI and Machine Learning academic community.

Covers essential topics within the field of computer science and data-driven computing.

Serves as a professional resource for understanding modern digital media challenges.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
29 May 2022
Listed Since
20 February 2022

Barcode

No barcode data available

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