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020 _a9783031506055
_9978-3-031-50605-5
024 7 _a10.1007/978-3-031-50605-5
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
100 1 _aPaaß, Gerhard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_976845
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.
300 _aXX, 474 p. 419 illus., 412 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
_958441
650 0 _aMachine learning.
_955059
650 0 _aImage processing
_xDigital techniques.
_964228
650 0 _aComputer vision.
650 0 _aNatural language processing (Computer science).
_965131
650 0 _aUser interfaces (Computer systems).
_964688
650 0 _aHuman-computer interaction.
_964854
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aMachine Learning.
_955059
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_965550
650 2 4 _aNatural Language Processing (NLP).
_966164
650 2 4 _aUser Interfaces and Human Computer Interaction.
_966577
700 1 _aHecker, Dirk.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_976846
710 2 _aSpringerLink (Online service)
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
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
999 _c59866
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