Produktbild: AI for Good

AI for Good Applications in Sustainability, Humanitarian Action, and Health

Fr. 41.90

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.04.2024

Verlag

John Wiley & Sons Inc

Seitenzahl

432

Maße (L/B/H)

23.1/15.4/3.7 cm

Gewicht

658 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-394-23587-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.04.2024

Verlag

John Wiley & Sons Inc

Seitenzahl

432

Maße (L/B/H)

23.1/15.4/3.7 cm

Gewicht

658 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-394-23587-2

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

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Wiley & Sons
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PO22 9NQ Bognor Regis
GB
trade@wiley.com

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  • Produktbild: AI for Good
  • Foreword xix
    Brad Smith, Vice Chair and President of Microsoft

    Introduction xxiii
    William B. Weeks, MD, PhD, MBA

    A Call to Action xxvi
    Juan M. Lavista Ferres

    Part I: Primer on Artificial Intelligence and Machine Learning 1

    Chapter 1: What Is Artificial Intelligence and How Can It Be Used for Good? 3
    William B. Weeks

    What Is Artificial Intelligence? 5

    What If Artificial Intelligence Were Used to Improve Societal Good? 6

    Chapter 2: Artificial Intelligence: Its Application and Limitations 9
    Juan M. Lavista Ferres

    Why Now? 11

    The Challenges and Lessons Learned from Using Artificial Intelligence 13

    Large Language Models 24

    Chapter 3: Commonly Used Processes and Terms 33
    William B. Weeks and Juan M. Lavista Ferres

    Common Processes 33

    Commonly Used Measures 35

    The Structure of the Book 37

    Part II: Sustainability 39

    Chapter 4: Deep Learning with Geospatial Data 41
    Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Amrita Gupta, Girmaw Adebe Tadesse, Akram Zaytar, and Gilles Quentin Hacheme

    Executive Summary 41

    Why Is This Important? 42

    Methods Used 43

    Findings 44

    Discussion 46

    What We Learned 46

    Chapter 5: Nature-Dependent Tourism 48
    Darren Tanner and Mark Spalding

    Executive Summary 48

    Why Is This Important? 49

    Methods Used 50

    Findings 52

    Discussion 52

    What We Learned 55

    Chapter 6: Wildlife Bioacoustics Detection 57
    Zhongqi Miao

    Executive Summary 57

    Why Is This Important? 58

    Methods Used 59

    Findings 61

    Discussion 64

    What We Learned 65

    Chapter 7: Using Satellites to Monitor Whales from Space 66
    Caleb Robinson, Kim Goetz, and Christin Khan

    Executive Summary 66

    Why Is This Important? 67

    Methods Used 67

    Findings 69

    Discussion 70

    What We Learned 71

    Chapter 8: Social Networks of Giraffes 73
    Juan M. Lavista Ferres, Derek Lee, and Monica Bond

    Executive Summary 73

    Why Is This Important? 75

    Methods Used 78

    Findings 79

    Discussion 84

    What We Learned 86

    Chapter 9: Data-driven Approaches to Wildlife Conflict Mitigation in the Maasai Mara 88
    Akram Zaytar, Gilles Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, and Juan M. Lavista Ferres

    Executive Summary 88

    Why Is This Important? 90

    Methods Used 90

    Findings 92

    Discussion 94

    What We Learned 96

    Chapter 10: Mapping Industrial Poultry Operations at Scale 97
    Caleb Robinson and Daniel Ho

    Executive Summary 97

    Why Is This Important? 98

    Methods Used 98

    Findings 100

    Discussion 102

    What We Learned 104

    Chapter 11: Identifying Solar Energy Locations in India 105
    Anthony Ortiz and Joseph Kiesecker

    Executive Summary 105

    Why Is This Important? 106

    Methods Used 107

    Findings 109

    Discussion 110

    What We Learned 111

    Chapter 12: Mapping Glacial Lakes 113
    Anthony Ortiz, Kris Sankaran, Finu Shrestha, Tenzing Chogyal Sherpa, and Mir Matin

    Executive Summary 113

    Why Is This Important? 114

    Methods Used 115

    Findings 117

    Discussion 120

    What We Learned 123

    Chapter 13: Forecasting and Explaining Degradation of Solar Panels with AI 124
    Felipe Oviedo and Tonio Buonassisi

    Executive Summary 124

    Why Is This Important? 125

    Methods Used 126

    Findings 128

    Discussion 131

    What We Learned 132

    Part III: Humanitarian Action 133

    Chapter 14: Post-Disaster Building Damage Assessment 135
    Shahrzad Gholami

    Executive Summary 135

    Why Is This Important? 136

    Methods Used 137

    Findings 140

    Discussion 143

    What We Learned 144

    Chapter 15: Dwelling Type Classification 146
    Md Nasir and Anshu Sharma

    Executive Summary 146

    Why Is This Important? 147

    Methods Used 148

    Findings 149

    Discussion 151

    What We Learned 153

    Chapter 16: Damage Assessment Following the 2023 Earthquake in Turkey 155
    Caleb Robinson, Simone Fobi, and Anthony Ortiz

    Executive Summary 155

    Why Is This Important? 156

    Methods Used 157

    Findings 159

    Discussion 162

    What We Learned 162

    Chapter 17: Food Security Analysis 164
    Shahrzad Gholami, Erwin w. Knippenberg, and James Campbell

    Executive Summary 164

    Why Is This Important? 165

    Methods Used 166

    Findings 171

    Discussion 175

    What We Learned 177

    Chapter 18: BankNote-Net: Open Dataset for Assistive Universal Currency Recognition 178
    Felipe Oviedo and Saqib Shaikh

    Executive Summary 178

    Why Is This Important? 179

    Methods Used 180

    Findings 182

    Discussion 185

    What We Learned 186

    Chapter 19: Broadband Connectivity 187
    Mayana Pereira, Amit Misra, and Allen Kim

    Executive Summary 187

    Why Is This Important? 188

    Methods Used 189

    Findings 190

    Discussion 192

    What We Learned 193

    Chapter 20: Monitoring the Syrian War with Natural Language Processing 194
    Rahul Dodhia and Michael Scholtens

    Executive Summary 194

    Why Is This Important? 195

    Methods Used 197

    Findings 198

    Discussion 200

    What We Learned 200

    Chapter 21: The Proliferation of Misinformation Online 202
    Will Fein, Mayana Pereira, Jane Wang, Kevin Greene, Lucas Meyer, Rahul Dodhia, and Jacob Shapiro

    Executive Summary 202

    Why Is This Important? 203

    Methods Used 204

    Findings 208

    Discussion 210

    What We Learned 211

    Chapter 22: Unlocking the Potential of AI with Open Data 213
    Anthony Cintron Roman and Kevin Xu

    Executive Summary 213

    Why Is This Important? 214

    Methods Used 215

    Findings 216

    Discussion 219

    What We Learned 220

    Part IV: Health 222

    Chapter 23: Detecting Middle Ear Disease 225
    Yixi Xu and Al-Rahim Habib

    Executive Summary 225

    Why Is This Important? 226

    Methods Used 227

    Findings 230

    Discussion 232

    What We Learned 233

    Chapter 24: Detecting Leprosy in Vulnerable Populations 235
    Yixi Xu and Ann Aerts

    Executive Summary 235

    Why Is This Important? 236

    Methods Used 237

    Findings 238

    Discussion 239

    What We Learned 240

    Chapter 25: Automated Segmentation of Prostate Cancer Metastases 241
    Yixi Xu

    Executive Summary 241

    Why Is This Important? 242

    Methods Used 243

    Findings 245

    Discussion 249

    What We Learned 250

    Chapter 26: Screening Premature Infants for Retinopathy of Prematurity in Low-Resource Settings 252
    Anthony Ortiz, Juan M. Lavista Ferres, Guillermo Monteoliva, and Maria Ana Martinez-Castellanos

    Executive Summary 252

    Why Is This Important? 253

    Methods Used 255

    Findings 259

    Discussion 260

    What We Learned 262

    Chapter 27: Long-Term Effects of COVID-19 264
    Meghana Kshirsagar and Sumit Mukherjee

    Executive Summary 264

    Why Is This Important? 265

    Methods Used 267

    Findings 269

    Discussion 274

    What We Learned 275

    Chapter 28: Using Artificial Intelligence to Inform Pancreatic Cyst Management 277
    Juan M. Lavista Ferres, Felipe Oviedo, William B. Weeks, Elliot Fishman, and Anne Marie Lennon

    Executive Summary 277

    Why Is This Important? 278

    Methods Used 279

    Findings 281

    Discussion 283

    What We Learned 285

    Chapter 29: NLP-Supported Chatbot for Cigarette Smoking Cessation 287
    Jonathan B. Bricker, Brie Sullivan, Marci Strong, Anusua Trivedi, Thomas Roca, James Jacoby, Margarita Santiago-Torres, and Juan M. Lavista Ferres

    Executive Summary 287

    Why Is This Important? 289

    Methods Used 291

    Findings 294

    Discussion 299

    What We Learned 301

    Chapter 30: Mapping Population Movement Using Satellite Imagery 303
    Tammy Glazer, Gilles Hacheme, Amy Michaels, and Christopher J.L. Murray

    Executive Summary 303

    Why Is This Important? 304

    Methods Used 306

    Findings 312

    Discussion 315

    What We Learned 317

    Chapter 31: The Promise of AI and Generative Pre-Trained Transformer Models in Medicine 318
    William B. Weeks

    What Are GPT Models and What Do They Do? 318

    GPT Models in Medicine 319

    Conclusion 327

    Part V: Summary, Looking Forward, And Additional Resources 329

    Epilogue: Getting Good at AI for Good 331
    The AI for Good Lab

    Communication 332

    Data 333

    Modeling 335

    Impact 337

    Conclusion 340

    Key Takeaways 340

    AI and Satellites: Critical Tools to Help Us with Planetary Emergencies 342
    Will Marshall and Andrew Zolli

    Amazing Things in the Amazon 344

    Quick Help Saving Lives in Disaster Response 346

    Additional Resources 348
    Lucia Ronchi Darre

    Endnotes 351

    Acknowledgments 353

    About the Editors 358

    About the Authors 361

    Microsoft's AI for Good Lab 361

    Collaborators 369

    Index 382