Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Editore: LAP Lambert Academic Publishing 3/4/2015, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Computing: The Current and its Probability Based Future 0.44. Book.
Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Da: California Books, Miami, FL, U.S.A.
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Editore: LAP Lambert Academic Publishing, 2015
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Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: LAP Lambert Academic Publishing 2015-03-04, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
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Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: LAP Lambert Academic Publishing Mär 2015, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 27,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Over the last decade, current computing platforms have not progressed at a similar rate as the years before. This lack of progress is largely due to a combination of different problems, going from silicon manufacturing issues over to actual problems with the models being used, leading to e.g. the von Neumann bottleneck. When one takes a few steps backwards and 'over-views' the situation, then it becomes clear that the current platforms have their limitations. Consequently, there is the need to start developing a new computing approach, namely one that is more biologically inspired, can deal with the unreliability of components, while at the same time offer more intelligent functionalities. Probability based computation has all the characteristics to overcome the currently faced problems, while also forming a better platform for machine learning approaches. There is obviously still work to be done before these new systems will become reality, but it is about time that people with knowledge and understanding of science and technology start to combine their knowledge and learn to deal with the need for unreliability to ensure this brighter future does happen.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch.
Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: LAP Lambert Academic Publishing Mrz 2015, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 27,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last decade, current computing platforms have not progressed at a similar rate as the years before. This lack of progress is largely due to a combination of different problems, going from silicon manufacturing issues over to actual problems with the models being used, leading to e.g. the von Neumann bottleneck. When one takes a few steps backwards and 'over-views' the situation, then it becomes clear that the current platforms have their limitations. Consequently, there is the need to start developing a new computing approach, namely one that is more biologically inspired, can deal with the unreliability of components, while at the same time offer more intelligent functionalities. Probability based computation has all the characteristics to overcome the currently faced problems, while also forming a better platform for machine learning approaches. There is obviously still work to be done before these new systems will become reality, but it is about time that people with knowledge and understanding of science and technology start to combine their knowledge and learn to deal with the need for unreliability to ensure this brighter future does happen. 128 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 25,29
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Melis Wim J.C.Dr. Wim JC Melis, PhD, MSc, SM IEEE obtained his PhD at Imperial College London, where he had previously also obtained an MSc. He obtained his first degree in Belgium. Currently, he works at a UK University as Senior Le.
Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659673560 ISBN 13: 9783659673566
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 27,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last decade, current computing platforms have not progressed at a similar rate as the years before. This lack of progress is largely due to a combination of different problems, going from silicon manufacturing issues over to actual problems with the models being used, leading to e.g. the von Neumann bottleneck. When one takes a few steps backwards and 'over-views' the situation, then it becomes clear that the current platforms have their limitations. Consequently, there is the need to start developing a new computing approach, namely one that is more biologically inspired, can deal with the unreliability of components, while at the same time offer more intelligent functionalities. Probability based computation has all the characteristics to overcome the currently faced problems, while also forming a better platform for machine learning approaches. There is obviously still work to be done before these new systems will become reality, but it is about time that people with knowledge and understanding of science and technology start to combine their knowledge and learn to deal with the need for unreliability to ensure this brighter future does happen.