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_a10.1007/978-3-031-50605-5 _2doi |
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_aPaaß, Gerhard. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _9101743 |
|
245 | 1 | 0 |
_aArtificial Intelligence _h[electronic resource] : _bWhat Is Behind the Technology of the Future? / _cby Gerhard Paaß, Dirk Hecker. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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300 |
_aXX, 474 p. 419 illus., 412 illus. in color. _bonline resource. |
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505 | 0 | _aPreface -- 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. | |
520 | _aArtificial 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. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMachine learning. _91831 |
|
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _9101744 |
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650 | 0 |
_aNatural language processing (Computer science). _94741 |
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650 | 0 |
_aUser interfaces (Computer systems). _911681 |
|
650 | 0 |
_aHuman-computer interaction. _96196 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aNatural Language Processing (NLP). _931587 |
650 | 2 | 4 |
_aUser Interfaces and Human Computer Interaction. _931632 |
700 | 1 |
_aHecker, Dirk. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _9101748 |
|
710 | 2 |
_aSpringerLink (Online service) _9101752 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031506048 |
776 | 0 | 8 |
_iPrinted edition: _z9783031506062 |
776 | 0 | 8 |
_iPrinted edition: _z9783031506079 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-50605-5 |
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