Artificial Intelligence Foundations

Artificial Intelligence Foundations

by Andrew Lowe, Steve Lawless
Released February 2021
Publisher(s): BCS, The Chartered Institute for IT
ISBN: 9781780175300

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Book description

In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation.

Table of contents

  1. Front Cover
  2. Half-Title Page
  3. BCS, The Chartered Institute for It
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Figures and table
  8. Authors
  9. Acknowledgements
  10. Abbreviations
  11. Glossary
  12. Useful websites
  13. Preface
  14. 1. INTRODUCTION: ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE
    1. 1.1 The general definition of human intelligence
    2. 1.2 Definition of artificial intelligence
    3. 1.3 A brief history of artificial intelligence
    4. 1.4 Sustainable AI
    5. 1.5 Machine learning – a significant contribution to the growth of artificial intelligence
    6. 1.6 Summary
  15. 2. ARTIFICIAL INTELLIGENCE AND ROBOTICS
    1. 2.1 Understanding the AI intelligent agent
    2. 2.2 What is a robot?
    3. 2.3 What is an intelligent robot?
    4. 2.4 Summary
  16. 3. APPLYING THE BENEFITS OF AI AND IDENTIFYING CHALLENGES AND RISKS
    1. 3.1 Sustainability – how our values will change humans, society and organisations
    2. 3.2 The benefits of artificial intelligence
    3. 3.3 The challenges of artificial intelligence
    4. 3.4 Understanding of the risks AI brings to projects
    5. 3.5 Opportunities for AI
    6. 3.6 Funding AI projects – the NASA Technology Readiness Levels
    7. 3.7 Summary
  17. 4. STARTING AI: HOW TO BUILD A MACHINE LEARNING TOOLBOX
    1. 4.1 How we learn from data
    2. 4.2 Neural networks
    3. 4.3 Agents’ functionality
    4. 4.4 Using the cloud – cheap high-performance computing for AI
    5. 4.5 Summary
  18. 5. ALGORITHMS
    1. 5.1 What is an algorithm?
    2. 5.2 What is special about AI/ML algorithms?
    3. 5.3 What are self-learning algorithms?
    4. 5.4 What are the algorithms used in machine learning and artificial intelligence?
    5. 5.5 What is a deep learning algorithm?
    6. 5.6 The ethical use of algorithms
    7. 5.7 Summary
  19. 6. THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES
    1. 6.1 Artificial intelligence will drive humans and machines to work together
    2. 6.2 Future directions of humans and machines working together
    3. 6.3 ‘Learning from experience’ Agile approach to projects
    4. 6.4 Summary
  20. 7. AI IN USE IN INDUSTRY: REIMAGINING EVERYTHING IN THE FOURTH INDUSTRIAL REVOLUTION
    1. 7.1 AI already in use
    2. 7.2 Summary
  21. 8. AI CASE STUDIES
    1. 8.1 Predicting the performance of a warehouse
    2. 8.2 The weather – concentration on data preparation
    3. 8.3 A Cambridge spin-out start-up
    4. 8.4 Summary
  22. REFERENCES
  23. FURTHER READING
    1. Machine learning
    2. Advanced theoretical text
  24. Index
  25. Back Cover

Product information

  • Title: Artificial Intelligence Foundations
  • Author(s): Andrew Lowe, Steve Lawless
  • Release date: February 2021
  • Publisher(s): BCS, The Chartered Institute for IT
  • ISBN: 9781780175300