TY  - BOOK
AU  - Paaß,Gerhard
AU  - Hecker,Dirk
ED  - SpringerLink (Online service)
TI  - Artificial Intelligence: What Is Behind the Technology of the Future? 
SN  - 9783031506055
AV  - Q334-342 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Artificial intelligence
KW  - Machine learning
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Natural language processing (Computer science)
KW  - User interfaces (Computer systems)
KW  - Human-computer interaction
KW  - Artificial Intelligence
KW  - Machine Learning
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Natural Language Processing (NLP)
KW  - User Interfaces and Human Computer Interaction
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-50605-5
ER  -