AI Applications to Communications and Information Technologies
Apply the technology of the future to networking and communications.
Artificial intelligence, which enables computers or computer-controlled systems to perform tasks which ordinarily require human-like intelligence and decision-making, has revolutionized computing and digital industries like few other developments in recent history. Tools like artificial neural networks, large language models, and deep learning have quickly become integral aspects of modern life. With research and development into AI technologies proceeding at lightning speeds, the potential applications of these new technologies are all but limitless.
AI Applications to Communications and Information Technologies offers a cutting-edge introduction to AI applications in one particular set of disciplines. Beginning with an overview of foundational concepts in AI, it then moves through numerous possible extensions of this technology into networking and telecommunications. The result is an essential introduction for researchers and for technology undergrad/grad student alike.
AI Applications to Communications and Information Technologies readers will also find
In-depth analysis of both current and evolving applications
Detailed discussion of topics including generative AI, chatbots, automatic speech recognition, image classification and recognition, IoT, smart buildings, network management, network security, and more
An authorial team with immense experience in both research and industry
AI Applications to Communications and Information Technologies is ideal for researchers, industry observers, investors, and advanced students of network communications and related fields.
Author(s): Daniel Minoli; Benedict Occhiogrosso
Edition: First
Publisher: Wiley
Year: 2023
Language: English
Pages: 493
Cover
Table of Contents
Series Page
Title Page
Copyright Page
About the Authors
Preface
1 Overview
1.1 Introduction and Basic Concepts
1.2 Learning Methods
1.3 Areas of Applicability
1.4 Scope of this Text
A. Basic Glossary of Key AI Terms and Concepts
References
2 Current and Evolving Applications to Natural Language Processing
2.1 Scope
2.2 Introduction
2.3 Overview of Natural Language Processing and Speech Processing
2.4 Natural Language Processing/Natural Language Understanding Basics
2.5 Natural Language Generation Basics
2.6 Chatbots
2.7 Generative AI
A. Basic Glossary of Key AI Terms and Concepts Related to Natural Language Processing
References
3 Current and Evolving Applications to Speech Processing
3.1 Scope
3.2 Overview
3.3 Noise Cancellation
3.4 Training
3.5 Applications to Voice Interfaces Used to Control Home Devices and Digital Assistant Applications
3.6 Attention‐based Models
3.7 Sentiment Extraction
3.8 End‐to‐End Learning
3.9 Speech Synthesis
3.10 Zero‐shot TTS
3.11 VALL‐E: Unseen Speaker as an Acoustic Prompt
A. Basic Glossary of Key AI Terms and Concepts
References
4 Current and Evolving Applications to Video and Imaging
4.1 Overview and Background
4.2 Convolution Process
4.3 CNNs
4.4 Imaging Applications
4.5 Specific Application Examples
4.6 Other Models: Diffusion and Consistency Models
A. Basic Glossary of Key AI Terms and Concepts
B. Examples of Convolutions
References
5 Current and Evolving Applications to IoT and Applications to Smart Buildings and Energy Management
5.1 Introduction
5.2 Smart Building ML Applications
5.3 Example of a Commercial Product – BrainBox AI
A. Basic Glossary of Key IoT (Smart Building) Terms and Concepts
References
6 Current and Evolving Applications to Network Cybersecurity
6.1 Overview
6.2 General Security Requirements
6.3 Corporate Resources/Intranet Security Requirements
6.4 IoT Security (IoTSec)
6.5 Blockchains
6.6 Zero Trust Environments
6.7 Areas of ML Applicability
A. Basic Glossary of Key Security Terms and Concepts
References
7 Current and Evolving Applications to Network Management
7.1 Overview
7.2 Examples of Neural Network‐Assisted Network Management
A. Short Glossary of Network Management Concepts
References
Super Glossary
Index
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