Today, technologies like AI and Cybersecurity serve as the backbone of modern industries, evolving at an extraordinary pace. Although challenges such as regulatory hurdles and market monopolies persist, innovation continues to address critical issues, enhancing rather than replacing existing solutions.

This book delves into these cutting-edge technologies and their transformative applications across various sectors. It also explores the future of these innovations, providing insights into seizing emerging opportunities and navigating associated challenges. As we enter a new digital era, understanding the potential impact of these technologies on society, the economy, and the environment is more vital than ever.

Chapter 1 Artificial Intelligence (AI)

1.1 Introduction

1.2 Introduction to Artificial Intelligence [AI]

1.2.1 Broad Spectrum of AI

1.2.2 The Significance of AI: Why Learn AI?

1.2.3 What Is AI?

1.2.4 History of AI

1.2.5 Types of AI

1.2.6 Levels of AI

1.2.7 AI Tools and Platforms

1.3 Applications of AI

1.3.1 Industry-Specific AI Applications

1.3.2 Agriculture

1.3.3 Business

1.3.4 Health

1.3.5 Education

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 2 Internet of Things (IoT)

2.1 Introduction

2.2 Overview of IoT

2.2.1 History of IoT

2.2.2 Evolution of IoT

2.2.3 IoT Standards and Frameworks

2.2.4 Sensors

2.3 Understanding IoT: Functionality and Use Cases

2.3.1 Components of IoT

2.3.2 Architecture of IoT

2.3.3 IoT Devices

2.3.4 IoT Networks

2.3.5 Applications of IoT

2.3.6 IoT Based Smart Farming

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 3 Cloud Computing

3.1 Introduction

3.2 What is Cloud Computing?

3.2.1 Cloud Computing: Overview

3.2.2 Cloud Computing: Nature and Benefits

3.2.3 Cloud Service Models

3.2.4 Other Cloud Services

3.2.5 Virtualisation and Containerization

3.2.6 Cloud Security

3.3 Cloud Platforms

3.3.1 Types of Cloud Platforms

3.3.2 AWS

3.3.3 Google Cloud Platform (GCP)

3.3.4 Microsoft Azure

3.3.5 Vendor Offering – IBM

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings



Chapter 4 Blockchain

4.1 Introduction to Blockchain

4.1.1 Blockchain Transparency

4.1.2 Need of Blockchain

4.1.3 Is Blockchain Secure?

4.1.4 Fundamentals of Blockchain

4.1.5 Principles and Technologies

4.1.6 Cryptocurrencies

4.1.7 Bitcoin

4.1.8 Public Ledgers

4.1.9 Smart Contracts

4.1.10 Blockchain Applications and Use Cases

4.2 Understanding Blockchain and Other Aspects

4.2.1 Benefits of Blockchains

4.2.2 Drawbacks of Blockchains

4.2.3 Block in a Block Chain

4.2.4 Blockchain Transactions

4.2.5 Distributed Consensus

4.2.6 Permissioned Model of Block chain

4.2.7 Overview of Security Aspects of Blockchain

Summary

Keywords

Objective Questions

Descriptive Questions

e-References



Chapter 5 Digital Manufacturing

5.1 Introduction

5.2 The History and Survey of 3D Printing

5.2.1 What Is 3D Printing?

5.2.2 Common 3D Printing Methods

5.2.3 Design Principles

5.2.4 Emerging Trends in 3D Printing

5.2.5 Limitations of 3D Printing

5.2.6 Introduction of Drones, Engineering Disciplines

5.2.7 Multirotor Drone Assembly Course/Regulations and

Procedures for Becoming a Drone Pilot

Summary

Keywords

Objective Questions

Descriptive Questions

e-References



Chapter 6 Robotics

6.1 Introduction

6.1.1 Key Components of a Robot

6.1.2 Classification of Robots

6.1.3 Control Systems

6.1.4 Kinematics Systems

6.1.5 Robot Manipulators

6.1.6 Social Issues and Safety

6.2 Robot Anatomy and Motion Analysis

6.2.1 Anatomy of a Robot

6.2.2 Robot Configurations

6.2.3 Types of Robotic Movements

6.2.4 Degrees of Freedom

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 7 Data Science

7.1 Introduction to Data Science

7.2 Overview of Data Science

7.2.1 Introduction to Data Science

7.2.2 Types of Data

7.2.3 Introduction to Data Science Mindset

7.2.4 Data Science Process

7.2.5 Data Science Toolkit

7.3 Fundamentals of Data Science

7.3.1 Data Analysis

7.3.2 Data Structures

7.3.3 Data Visualisation

7.3.4 Data Mining

7.3.5 Applications of Data Science

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings



Chapter 8 Cyber Security

8.1 Overview of Cybersecurity

8.1.1 Introduction to Cyber Security

8.1.2 Layers of Security

8.1.3 Challenges and Constraints

8.1.4 Computer Crimes and Criminals

8.1.5 CIA Triad

8.1.6 Cyber Assets

8.1.7 Cyber Threats

8.2 Cryptography and Cryptanalysis

8.2.1 Introduction to Cryptography

8.2.2 Symmetric Key Cryptography

8.2.3 Asymmetric Key Cryptography

8.2.4 Hash Functions

8.2.5 Cryptanalysis

8.2.6 Digital Signatures

8.2.7 Overview of Firewalls

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 9 3D Printing and Design

9.1 3D Printing (Additive Manufacturing)

9.1.1 Introduction

9.1.2 Process

9.1.3 Classification

9.1.4 Advantages

9.1.5 Additive vs. Conventional Manufacturing Processes

9.1.6 Real-Life Applications

9.2 Cad for Additive Manufacturing

9.2.1 CAD Data Formats

9.2.2 Data translation

9.2.3 Data Loss

9.2.4 STL Format

Summary

Keywords

Objective Questions

Suggested Readings

e-References



Chapter 10 Ethics and Professionalism of Emerging Technologies

10.1 Introduction

10.1.1 Ethical Concerns in Emerging Technologies

10.1.2 Technology and Ethics

10.1.3 General Ethical Principles

10.1.4 Professional Responsibilities

10.2 Privacy in Technologies

10.2.1 Privacy Threats from Today’s Computer Systems

10.2.2 Data Privacy

10.2.3 Data Privacy Laws and GDPR

10.2.4 Digital Privacy

10.2.5 Emerging Ethical Dilemmas in Science and Technology

10.2.6 Ethical Dimensions and Dilemmas in

Emerging Technologies

10.2.7 Communication Privacy

10.2.8 Ethical and Regulatory Challenges

10.2.9 Emerging Technologies Shaping Privacy

10.2.10 Encryption and Decryption

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 11 Virtual Reality

11.1 Introduction to Virtual Reality

11.1.1 Types of Virtual Reality

11.1.2 Virtual Reality and Virtual Environment

11.1.3 Computer Graphics

11.1.4 Real-Time Computer Graphics

11.1.5 Flight Simulation

11.1.6 Virtual Environment Requirements

11.1.7 Benefits of Virtual Reality

11.1.8 Real-Life Application

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Chapter 12 Future Trends

12.1 Emerging Future Trends And Other Emerging Technologies

12.1.1 Augmented Reality (AR) and Virtual Reality (VR)

12.1.2 5G Telecom

12.1.3 5G in India, Application and Use Cases

12.1.4 Brain Computer Interface, Application, Model and Global Market

12.1.5 Brain-Computer Interface and Human Brain

12.2 Other Emerging Technologies

12.2.1 Quantum Computing

12.2.2 Nanotechnology

12.2.3 3D Printing

12.2.4 Autonomic Computing

12.2.5 Embedded Systems

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References



Index About the Author
Reema Thareja, Assistant Professor at the School of Open Learning, University of Delhi, has 20+ years of teaching experience and is an accomplished author in computer science, covering topics like AI, data science, and programming languages (C, C++, Python). She has published 26 papers in top journals, holds four patents, and serves as a reviewer and conference committee member. Dr. Thareja also created "Jruma," a mobile app for computer science quizzes available on Android and iOS.