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Florian Neukart

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Florian Neukart
Florian Neukart, 2016
Born (1982-05-05) 5 May 1982 (age 42)
de:Bruck an der Mur, Styria, Austria
NationalityAustrian
Alma mater
Known for
Awards
Scientific career
FieldsComputer Science, Physics, Mathematics, Computational Neuroscience, Psychology
Institutions
ThesisSystem Applying High Order Computational Intelligence in Data Mining and Quantum Computational Considerations Concerning the Future of Artificial Intelligence (2013)
Doctoral advisorSorin-Aurel Moraru

Florian Neukart is an Austrian computer scientist, mathematician, and scientific author. He is known for his work in the fields of quantum computing and artificial intelligence, particularly on how to reverse-engineer the mind by gradually replacing the biological brain with artificial components, such as quantum nano-bots, electrodes, or a neural lace. In his work, he describes methods for interpreting signals in the human brain in combination with paradigms from artificial intelligence, allowing for the creation of artificial conscious entities (ACE).[1][2]

Biography and work

Florian Neukart holds a Ph.D. in quantum computing and artificial intelligence from the Transilvania University of Brasov, as well as a master's degree in information technology from the CAMPUS02 University of Applied Sciences in Graz, and a master's degree in computer science from the Joanneum University of Applied Sciences in Kapfenberg. He works as Principal Scientist at Volkswagen Group, Region Americas, where he is concerned with research in the fields of quantum computing,[3][4] quantum machine learning,[5] artificial intelligence,[6][7] and materials science.[8][9] Neukart, born in Bruck/ Mur, is also an assistant professor for quantum computing at Leiden University.[10][11][12]

He is the author of the book "Reverse Engineering the Mind Consciously Acting Machines and Accelerated Evolution", where he elaborates on establishing 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. He argues that a path to artificial intelligence is through the gradual replacement of a brain with artificial components and that strong artificial intelligence based on biological intelligence can be developed. In this context, he has proposed a new theory of mind, fusing non-eliminative materialism, functionalism, and identity theory, arguing that current theories must be broadened to explain artificial intelligence on a biological substrate. The main argument is that non-eliminative materialism covers novel ideas like quantum physical explanations of the mind, but it does not take into account the software, thus the algorithm of mind, working on the hardware. Functionalism does that in the way that it states that the mind is the software running on brains and that different physical implementations may be realized for processing the ‘mind-algorithm’. Identity theory states that each external sensation may cause different internal sensations, which of course may be different from individual to individual, but if the resulting internal sensation of two individuals is the same, also the same areas of the brain are affected. His argument against identity theory centers around a biological point of view, as it does not support the implementation of computers that equally well serve the minds of different people, and not just the mind of one specific person. Although the basic structure of all human brains is the same, there are differences in the number and structure of neural connections or brain functionality on the neural layer.[13]

His research continues to attract considerable public international attention[14][15][16][17] and earned him numerous speaking invitations on both conferences and more private venues.[18][19][20] He was one of the first researchers to propose and implement quantum neural networks.[21][22] He is a pioneer in applied quantum computing and among the first ones to solve real-world problems of society and environment by means of quantum computing.[23][24][25][26] He was the first one to have introduced practical quantum computing in academic education worldwide.[27] He currently works as Principal Scientist at Volkswagen Group of America and visiting scientist and lecturer in the field of quantum computing at the University of Leiden.[28][29] He was named by the IEEE Computer Society as one of the leading experts in predictive analytics.[30] Neukart was awarded by the Science Park Austria for his work in biologically-inspired artificial intelligence software.[31]

References

  1. ^ "Unsterblich dank Quantenbewusstsein?". ORF. 14 April 2017. Retrieved 16 April 2017.
  2. ^ "Dimensionen – die Welt der Wissenschaft". ORF. 14 April 2017. Retrieved 16 April 2017.
  3. ^ "Traffic Flow Optimization Using a Quantum Annealer". Frontiers in Information and Communication Technology. Retrieved 13 Jan 2018.
  4. ^ "VOLKSWAGEN GROUP AND GOOGLE WORK TOGETHER ON QUANTUM COMPUTERS". Volkswagen. Retrieved 13 Jan 2018.
  5. ^ "Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces". Frontiers in Physics. Retrieved 13 Jan 2018.
  6. ^ "Interview: Data Science in der Automobilbranche". Data Science Blog. 27 March 2017. Retrieved 26 May 2017.
  7. ^ "Artificial Intelligence and Data Science in the Automotive Industry". Data Science Blog. 27 March 2017. Retrieved 26 May 2017.
  8. ^ "VW researchers use quantum computing for ev battery research". Engadget. 8 June 2018. Retrieved 18 August 2018. We are working hard to develop the potential of quantum computers for Volkswagen
  9. ^ "Volkswagen Turns To Quantum Computers For Advanced Battery Research". Clean Technica. 18 June 2018. Retrieved 18 August 2018. We are working hard to develop the potential of quantum computers for Volkswagen. The simulation of electrochemical materials is an important project in this context.
  10. ^ "Florian Neukart". Leiden University. Retrieved 18 August 2018.
  11. ^ "Wahrsager, nur in seriös". Die Zeit Online. Retrieved 26 May 2017.
  12. ^ "Volkswagen trials quantum computer". Springer. Retrieved 26 May 2017.
  13. ^ Neukart, F (2016). Reverse Engineering the Mind Consciously Acting Machines and Accelerated Evolution. Springer. ISBN 978-3-658-16175-0.
  14. ^ "Volkswagen forscht mit Googles Quantencomputer". Frankfurter Allgemeine Zeitung. 7 November 2017. Retrieved 13 Jan 2018.
  15. ^ "Volkswagen hopes to end congestion with Google quantum computers". Computerworld. 10 November 2017. Retrieved 13 Jan 2018.
  16. ^ "Quantencomputer zur Verkehrsfluss-Optimierung – Forschungsprojekt erfolgreich". Internationales Verkehrswesen. 30 March 2017. Retrieved 26 May 2017.
  17. ^ "Mit Quantencomputer gegen Verkehrskollaps". 20min.ch. 20 March 2017. Retrieved 26 May 2017.
  18. ^ "Quantum Technologies: How will they change our world?". Helmholtz Society. 28 March 2017. Retrieved 17 April 2017.
  19. ^ "ISC High Performance: Maximizing Traffic Flow with the D-Wave Quantum Annealer". Helmholtz Society. Retrieved 17 April 2017.
  20. ^ "The Rock Stars of Pervasive, Predictive Analytics". IEEE Computer Society. 18 October 2016. Retrieved 17 April 2017.
  21. ^ Neukart, F (2013). "On Quantum Computers and Artificial Neural Networks". Signal Processing Research. 2 (1).
  22. ^ Neukart, F (2014). "Operations on Quantum Physical Artificial Neural Structures". Procedia Engineering. 2 (1): 1509–1517. doi:10.1016/j.proeng.2014.03.148.
  23. ^ "The Beginnings of a Quantum Leap". Volkswagen AG. Retrieved 16 April 2017.
  24. ^ "Volkswagen erprobt Quantencomputer". Springer. 22 March 2017. Retrieved 16 April 2017.
  25. ^ "Mit Quantenteilchen gegen das Verkehrschaos". Handelsblatt. 13 March 2017. Retrieved 16 April 2017.
  26. ^ "Volkswagen: Quantencomputer im Einsatz gegen den Stau". Computer Bild. 21 March 2017. Retrieved 16 April 2017.
  27. ^ "Students are programming with qubits". University of Leiden. Retrieved 17 April 2017.
  28. ^ "Florian Neukart". University of Leiden. Retrieved 17 April 2017.
  29. ^ "Quantum Computing". University of Leiden. Retrieved 17 April 2017.
  30. ^ "The Rock Stars of Pervasive, Predictive Analytics". IEEE Computer Society. 18 October 2016. Retrieved 17 April 2017.
  31. ^ "Inhalierbarer Impfstoff siegt beim Ideenwettbewerb 2014". Science Park Austria. 3 April 2014. Retrieved 17 April 2017.
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