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  • 1
    Online Resource
    Online Resource
    Boston, MA : Springer US
    UID:
    gbv_775322113
    Format: Online-Ressource (VIII, 228 p) , online resource
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9781461507598
    Content: Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage
    Note: 1. GötterdämmerungI Humans Will Create Super-Intelligent Machines -- 2. The Basics of Machine Intelligence -- 3. Computers as Tools -- 4. Arguments Against the Possibility of Machine Intelligence -- 5. The Current State of the Art in Machine Intelligence -- 6. Neuroscience -- 7. Dawn of the Gods -- II Super-Intelligent Machines Must Love All Humans -- 8 Good God, Bad God -- 9. Brain Engineering -- 10. Current Public Policy for Information Technology -- 11. Public Education and Control -- 12. Visions of Machine Intelligence -- 13. Endings -- III Should Humans Become Super-Intelligent Machines? -- 14. Current Connections Between Brains and Machines -- 15. Humans Minds in Machine Brains -- 16. Humans Will Want to Become Super-Intelligent Machines -- 17. Super-Intelligent Humans Must Love All Humans -- IV Conclusion -- 18. The Ultimate Engineering Challenge -- 19. Inventing God -- 20. Messages to the Future.
    Additional Edition: ISBN 9781461352273
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461352273
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780306473883
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461507604
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    New York, NY :Springer US :
    UID:
    almahu_9948621522802882
    Format: VIII, 228 p. , online resource.
    Edition: 1st ed. 2002.
    ISBN: 9781461507598
    Content: Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.
    Note: 1. Götterdämmerung -- I Humans Will Create Super-Intelligent Machines -- 2. The Basics of Machine Intelligence -- 3. Computers as Tools -- 4. Arguments Against the Possibility of Machine Intelligence -- 5. The Current State of the Art in Machine Intelligence -- 6. Neuroscience -- 7. Dawn of the Gods -- II Super-Intelligent Machines Must Love All Humans -- 8 Good God, Bad God -- 9. Brain Engineering -- 10. Current Public Policy for Information Technology -- 11. Public Education and Control -- 12. Visions of Machine Intelligence -- 13. Endings -- III Should Humans Become Super-Intelligent Machines? -- 14. Current Connections Between Brains and Machines -- 15. Humans Minds in Machine Brains -- 16. Humans Will Want to Become Super-Intelligent Machines -- 17. Super-Intelligent Humans Must Love All Humans -- IV Conclusion -- 18. The Ultimate Engineering Challenge -- 19. Inventing God -- 20. Messages to the Future.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781461352273
    Additional Edition: Printed edition: ISBN 9780306473883
    Additional Edition: Printed edition: ISBN 9781461507604
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    New York, NY [u.a.] : Kluwer Academic/Plenum Publ.
    UID:
    gbv_350592675
    Format: VIII, 228 S
    ISBN: 0306473887
    Note: Includes bibliographical references and index
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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