ARTIFICIAL INTELLIGENCE FOUNDATIONS
LOWE, ANDREW. LAWLESS, STEVE.
ARTIFICIAL INTELLIGENCE FOUNDATIONS - [Place of publication not identified] BCS, THE CHARTERED INSTIT, (c)2020. - 1 online resource
Includes bibliographies and index.
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
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.
9781780175294
Artificial intelligence.
Electronic Books.
Q335 / .A785 2020
ARTIFICIAL INTELLIGENCE FOUNDATIONS - [Place of publication not identified] BCS, THE CHARTERED INSTIT, (c)2020. - 1 online resource
Includes bibliographies and index.
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
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.
9781780175294
Artificial intelligence.
Electronic Books.
Q335 / .A785 2020