World Library  
Flag as Inappropriate
Email this Article

Hartmut Neven

Article Id: WHEBN0016907430
Reproduction Date:

Title: Hartmut Neven  
Author: World Heritage Encyclopedia
Language: English
Subject: German roboticists, Picasa, D-Wave Systems
Collection:
Publisher: World Heritage Encyclopedia
Publication
Date:
 

Hartmut Neven

Hartmut Neven (born 1964 in Aachen, Germany) is a scientist working in quantum computing, computer vision, robotics and computational neuroscience. He is best known for his work in face and object recognition and his contributions to quantum machine learning. He is currently Director of Engineering at Google where he is leading the Quantum Artificial Intelligence Laboratory.[1][2][3]

Education

Hartmut Neven studied Physics and Economics in Brazil, Köln, Paris, Tübingen and Jerusalem. He wrote his Master thesis on a neuronal model of object recognition at the Max Planck Institute for Biological Cybernetics under Valentino Braitenberg. In 1996 he received his Ph.D. from the Institute for Neuroinformatics at the Ruhr University in Bochum, Germany, for a thesis on "Dynamics for vision-guided autonomous mobile robots" written under the tutelage of Christoph von der Malsburg.

Work

Neven was assistant professor of computer science at the University of Southern California at the Laboratory for Biological and Computational Vision. Later he returned as the head of the Laboratory for Human-Machine Interfaces at USC’s Information Sciences Institute.

Neven co-founded two companies, Eyematic for which he served as CTO and Neven Vision which he initially led as CEO. At Eyematic he developed real-time facial feature analysis for avatar animation.[4] Neven Vision pioneered mobile visual search for camera phones [5][6] and was acquired by Google in 2006.[7] At Google he managed teams responsible for advancing Google’s visual search technologies and was the engineering manager for Google Goggles.[8][9][10][11] He was a co-founder of the Google Glass project.

Teams led by Neven have repeatedly won top scores in government sponsored tests designed to determine the most accurate face recognition software.[12] In 2013 his optical character recognition team won the ICDAR Robust Reading Competition by a wide margin.[13]

In 2006 Neven started to explore the application of quantum computing to hard combinatorial problems arising in machine learning. In collaboration with D-Wave Systems he developed the first image recognition system based on quantum algorithms. It was demonstrated at SuperComputing07.[14] At NIPS 2009 his team demonstrated the first binary classifier trained on a quantum processor.[15][16][17]

References

  1. ^
  2. ^ Quantum AI Lab on Google+
  3. ^
  4. ^
  5. ^
  6. ^
  7. ^
  8. ^
  9. ^
  10. ^
  11. ^
  12. ^ Face Recognition Vendor Test
  13. ^ PhotoOCR: Reading Text in Uncontrolled Conditions
  14. ^
  15. ^
  16. ^
  17. ^

External links

  • Keynote Presentation at the International Conference on Machine Learning ICML 2011 on Google Goggles and Machine Learning with Quantum Algorithms
  • NIPS Video Lecture: Training a Binary Classifier with the Quantum Adiabatic Algorithm
  • Google Tech Talk Series on Quantum Computing
  • Preprints of Hartmut Neven on arxiv.org
This article was sourced from Creative Commons Attribution-ShareAlike License; additional terms may apply. World Heritage Encyclopedia content is assembled from numerous content providers, Open Access Publishing, and in compliance with The Fair Access to Science and Technology Research Act (FASTR), Wikimedia Foundation, Inc., Public Library of Science, The Encyclopedia of Life, Open Book Publishers (OBP), PubMed, U.S. National Library of Medicine, National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health (NIH), U.S. Department of Health & Human Services, and USA.gov, which sources content from all federal, state, local, tribal, and territorial government publication portals (.gov, .mil, .edu). Funding for USA.gov and content contributors is made possible from the U.S. Congress, E-Government Act of 2002.
 
Crowd sourced content that is contributed to World Heritage Encyclopedia is peer reviewed and edited by our editorial staff to ensure quality scholarly research articles.
 
By using this site, you agree to the Terms of Use and Privacy Policy. World Heritage Encyclopedia™ is a registered trademark of the World Public Library Association, a non-profit organization.
 


Copyright © World Library Foundation. All rights reserved. eBooks from Project Gutenberg are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.