04100nam a22006135i 4500 978-3-031-50605-5 DE-He213 20251030112042.0 cr nn 008mamaa 240515s2024 sz | s |||| 0|eng d 9783031506055 978-3-031-50605-5 10.1007/978-3-031-50605-5 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Paaß, Gerhard. author. aut http://id.loc.gov/vocabulary/relators/aut 76845 Artificial Intelligence [electronic resource] : What Is Behind the Technology of the Future? / by Gerhard Paaß, Dirk Hecker. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 474 p. 419 illus., 412 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Artificial intelligence. 58441 Machine learning. 55059 Image processing Digital techniques. 64228 Computer vision. Natural language processing (Computer science). 65131 User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Artificial Intelligence. 58441 Machine Learning. 55059 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Natural Language Processing (NLP). 66164 User Interfaces and Human Computer Interaction. 66577 Hecker, Dirk. author. aut http://id.loc.gov/vocabulary/relators/aut 76846 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031506048 Printed edition: 9783031506062 Printed edition: 9783031506079 https://doi.org/10.1007/978-3-031-50605-5 ZDB-2-SCS ZDB-2-SXCS 59866 59866