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Artificial Intelligence [electronic resource] : What Is Behind the Technology of the Future? / by Gerhard Paaß, Dirk Hecker.

By: Paaß, Gerhard [author.].
Contributor(s): Hecker, Dirk [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XX, 474 p. 419 illus., 412 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031506055.Subject(s): Artificial intelligence | Machine learning | Image processing -- Digital techniques | Computer vision | Natural language processing (Computer science) | User interfaces (Computer systems) | Human-computer interaction | Artificial Intelligence | Machine Learning | Computer Imaging, Vision, Pattern Recognition and Graphics | Natural Language Processing (NLP) | User Interfaces and Human Computer InteractionAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Preface -- About the Authors -- 1. What Is Intelligent About Artificial Intelligence? -- 2 What Are the Capabilities of Artificial Intelligence? -- 3. Some Basic Concepts of Machine Learning -- 4. Deep Learning Can Recognize Complex Relationships -- 5. Image Recognition with Deep Neural Networks -- 6. Capturing the Meaning of Written Text -- 7. Understanding Spoken Language -- 8. Learning Optimal Policies -- 9. Creative Artificial Intelligence and Emotions -- 10. AI and Its Opportunities, Challenges and Risks -- Appendix -- Index.
In: Springer Nature eBookSummary: Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book "Künstliche Intelligenz - Was steckt hinter der Technologie der Zukunft?" originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.
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Preface -- About the Authors -- 1. What Is Intelligent About Artificial Intelligence? -- 2 What Are the Capabilities of Artificial Intelligence? -- 3. Some Basic Concepts of Machine Learning -- 4. Deep Learning Can Recognize Complex Relationships -- 5. Image Recognition with Deep Neural Networks -- 6. Capturing the Meaning of Written Text -- 7. Understanding Spoken Language -- 8. Learning Optimal Policies -- 9. Creative Artificial Intelligence and Emotions -- 10. AI and Its Opportunities, Challenges and Risks -- Appendix -- Index.

Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book "Künstliche Intelligenz - Was steckt hinter der Technologie der Zukunft?" originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.

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