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Florian Neukart
Volkswagen Group of America, University of Leiden
San Francisco, California

Florian Neukart holds a PhD 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 a principal scientist in the fields of artificial intelligence and quantum computing at Volkswagen Group of America, where he is conducting research in the fields of self-driving vehicles, quantum machine learning, self-optimizing robots, and artificial intelligence in general.

Neukart, born in Bruck an der Mur, Austria, is also a lecturer at Leiden University, where he works on quantum computing and artificial intelligence. He is the author of the book Reverse Engineering the Mind - Consciously Acting Machines and Accelerated Evolution. Here, he is concerned with establishing a symbiotic relationship between a biological brain, sensors, AI, and quantum hardware and software, resulting in solutions for the continuous consciousness-problem as well as other state-of-the-art problems.

He was one of the first researchers to propose and implement quantum neural networks, and among the first ones to solve real-world problems of society and environment by means of quantum computing/annealing. In 2014, Neukart was awarded for his work in biologically inspired artificial intelligence software by the Science Park Austria.


Perturbations, optimization, and statistics
Hazan T., Papandreou G., Tarlow D.,  The MIT Press, Cambridge, MA, 2016. 412 pp. Type: Book (978-0-262035-64-4)

The latest research in machine learning shows that the injection of perturbations into both learning and inference procedures may result in increased predictive accuracy. In almost every machine learning problem, decisions are made based on curren...


Deep learning
Goodfellow I., Bengio Y., Courville A.,  The MIT Press, Cambridge, MA, 2016. 800 pp. Type: Book (978-0-262035-61-3), Reviews: (2 of 4)

Deep learning is used everywhere, from environment perception in self-driving vehicles to natural language understanding, to fraud and real-time threat detection, to name only a few examples. This book introduces both the fundamental and latest co...

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