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020 _a9783658161767
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035 _a(OCoLC)961271760
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050 4 _aTJ211
_b.N485 2017 EB
100 1 _aNeukart, Florian,
_eautor
245 1 0 _aReverse engineering the mind :
_bconsciously acting machines and accelerated evolution
_cFlorian Neukart.
264 1 _aWiesbaden
_bSpringer
_c[2017]
264 4 _c2017
300 _a1 recurso en línea
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
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347 _atext file
_bPDF
_2rda
490 0 _aAutoUni-Schriftenreihe
_vBand 94
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas
520 3 _aFlorian 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. Contents Strong AI by Fusing the Human Brain with Technology Continuous Consciousness by Artificially Extending the Mind Target Groups Lecturers and students in the fields of artificial intelligence, quantum physics/computing, psychology, neuroscience and computational neuroscience Practitioners with interest in the future of AI, working for car manufacturers, software companies or robotics companies 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.
650 7 _aInteligencia artificial
_2embne
_0(OCoLC)fst00817247
_0
_9413115
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-658-16176-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017A
998 _b02/2018
_dz
_e-
_zSI
999 _c94776
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