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- Publication in the field of technical sciences
- Includes supplementary material: sn.pub/extras
Part of the book series: AutoUni – Schriftenreihe (AUS, volume 94)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution.
Authors and Affiliations
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AutoUni , Wolfsburg, Germany
Florian Neukart
About the author
Dr. Florian Neukart worked as a data scientist for one of the largest mobility providers worldwide and was responsible for technology and research in one of their applied research departments. He still works there as a principal data scientist and lecturer and researcher in the field of quantum computer science in both academia and industry.
Bibliographic Information
Book Title: Reverse Engineering the Mind
Book Subtitle: Consciously Acting Machines and Accelerated Evolution
Authors: Florian Neukart
Series Title: AutoUni – Schriftenreihe
DOI: https://doi.org/10.1007/978-3-658-16176-7
Publisher: Springer Wiesbaden
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2017
Softcover ISBN: 978-3-658-16175-0Published: 01 November 2016
eBook ISBN: 978-3-658-16176-7Published: 24 October 2016
Series ISSN: 1867-3635
Series E-ISSN: 2512-1154
Edition Number: 1
Number of Pages: XXXI, 383
Number of Illustrations: 84 b/w illustrations, 21 illustrations in colour
Topics: Artificial Intelligence, Neurosciences, Neuropsychology