ARTIFICIAL INTELLIGENCE FOUNDATIONS.

ARTIFICIAL INTELLIGENCE FOUNDATIONS.

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Bibliographic Details
Author / Creator:LOWE, ANDREW. LAWLESS, STEVE.
Imprint:[Place of publication not identified] BCS, THE CHARTERED INSTIT, 2020.
Description:1 online resource
Language:English
Subject:
Artificial intelligence.
Artificial Intelligence
Artificial intelligence.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13586103
Hidden Bibliographic Details
ISBN:9781780175294
1780175299
1780175280
9781780175287
Notes:Includes bibliographical references and index.
Summary: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.
Other form:Original 1780175280 9781780175287
Table of Contents:
  • Cover
  • Copyright Page
  • CONTENTS
  • FIGURES AND TABLE
  • AUTHORS
  • ACKNOWLEDGEMENTS
  • ABBREVIATIONS
  • GLOSSARY
  • USEFUL WEBSITES
  • PREFACE
  • 1 INTRODUCTION: ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE
  • 1.1 THE GENERAL DEFINITION OF HUMAN INTELLIGENCE
  • 1.2 DEFINITION OF ARTIFICIAL INTELLIGENCE
  • 1.3 A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE
  • 1.4 SUSTAINABLE AI
  • 1.5 MACHINE LEARNING
  • A SIGNIFICANT CONTRIBUTION TO THE GROWTH OF ARTIFICIAL INTELLIGENCE
  • 1.6 SUMMARY
  • 2 ARTIFICIAL INTELLIGENCE AND ROBOTICS
  • 2.1 UNDERSTANDING THE AI INTELLIGENT AGENT
  • 2.2 WHAT IS A ROBOT?
  • 2.3 WHAT IS AN INTELLIGENT ROBOT?
  • 2.4 SUMMARY
  • 3 APPLYING THE BENEFITS OF AI AND IDENTIFYING CHALLENGES AND RISKS
  • 3.1 SUSTAINABILITY
  • HOW OUR VALUES WILL CHANGE HUMANS, SOCIETY AND ORGANISATIONS
  • 3.2 THE BENEFITS OF ARTIFICIAL INTELLIGENCE
  • 3.3 THE CHALLENGES OF ARTIFICIAL INTELLIGENCE
  • 3.4 UNDERSTANDING OF THE RISKS AI BRINGS TO PROJECTS
  • 3.5 OPPORTUNITIES FOR AI
  • 3.6 FUNDING AI PROJECTS
  • THE NASA TECHNOLOGY READINESS LEVELS
  • 3.7 SUMMARY
  • 4 STARTING AI: HOW TO BUILD A MACHINE LEARNING TOOLBOX
  • 4.1 HOW WE LEARN FROM DATA
  • 4.2 NEURAL NETWORKS
  • 4.3 AGENTS' FUNCTIONALITY
  • 4.4 USING THE CLOUD
  • CHEAP HIGH-PERFORMANCE COMPUTING FOR AI
  • 4.5 SUMMARY
  • 5 ALGORITHMS
  • 5.1 WHAT IS AN ALGORITHM?
  • 5.2 WHAT IS SPECIAL ABOUT AI/ML ALGORITHMS?
  • 5.3 WHAT ARE SELF-LEARNING ALGORITHMS?
  • 5.4 WHAT ARE THE ALGORITHMS USED IN MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE?
  • 5.5 WHAT IS A DEEP LEARNING ALGORITHM?
  • 5.6 THE ETHICAL USE OF ALGORITHMS
  • 5.7 SUMMARY
  • 6 THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES
  • 6.1 ARTIFICIAL INTELLIGENCE WILL DRIVE HUMANS AND MACHINES TO WORK TOGETHER
  • 6.2 FUTURE DIRECTIONS OF HUMANS AND MACHINES WORKING TOGETHER
  • 6.3 'LEARNING FROM EXPERIENCE' AGILE APPROACH TO PROJECTS
  • 6.4 SUMMARY
  • 7 AI IN USE IN INDUSTRY: REIMAGINING EVERYTHING IN THE FOURTH INDUSTRIAL REVOLUTION
  • 7.1 AI ALREADY IN USE
  • 7.2 SUMMARY
  • 8 AI CASE STUDIES
  • 8.1 PREDICTING THE PERFORMANCE OF A WAREHOUSE
  • 8.2 THE WEATHER
  • CONCENTRATION ON DATA PREPARATION
  • 8.3 A CAMBRIDGE SPIN-OUT START-UP
  • 8.4 SUMMARY
  • REFERENCES
  • FURTHER READING
  • MACHINE LEARNING
  • ADVANCED THEORETICAL TEXT
  • INDEX
  • Back Cover

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