10.1145/3206157.3206175acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicpsprocConference Proceedings
research-article

An Overview of Google Brain and Its Applications

ABSTRACT

Machine learning is quickly becoming a major field of research for many technology companies. Google, perhaps, is at the forefront of this movement and have instituted an entire research team called Google Brain to explore the technical aspect and applications of large scale neural networks. Thus far, the group has developed advancements in the areas of natural language recognition, open-source deep learning software, and healthcare related uses for computer vision assisted diagnosis.

References

  1. Harris, D. 2015. New to deep learning? Here are 4 easy lessons from Google. GIGAOM. Available at: https://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  2. Marr, B. 2017. What Is Machine Learning - A Complete Beginner's Guide In 2017. Forbes. Available at: https://www.forbes.com/sites/bernardmarr/2017/05/04/what-is-machine-learning-a-complete-beginners-guide-in-2017/2/#7a3f6dce5341 Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  3. Lewis-Kraus, G. 2016. The Great A.I. Awakening. The New York Times. (Dec. 2016).Google ScholarGoogle Scholar
  4. Dean, J. 2017. The Google Brain Team's Approach to Research. Google Research Blog. Available at: https://research.googleblog.com/2017/09/the-google-brain-teams-approach-to.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  5. Google Brain Team. 2015. Google AI Residency Program. Research at Google. Available at: https://research.google.com/teams/brain/residency Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  6. Sutskever, I., Vinyals, O., and Le, Q. V. 2014. Sequence to Sequence Learning with Neural Networks. Advances in Neural Information Processing Systems 27 (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., et.al. 2016. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. Computing Research Repository. (2016).Google ScholarGoogle Scholar
  8. Dean, J. and Monga, R. 2015. TensorFlow - Google's latest machine learning system, open sourced for everyone. Google Research Blog. (November 2015). Available at: https://research.googleblog.com/2015/11/tensorflow-googles-latest-machine_9.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  9. Dean, J. and Ng, A. 2012. Using large-scale brain simulations for machine learning and A.I. Google Official Blog. (June 2012). Available at: https://googleblog.blogspot.com/2012/06/using-large-scale-brain-simulations-for.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  10. Wired Staff. 2012. Google's Artificial Brain Learns to Find Cat Videos. WIRED. (June 2012). Available at: https://www.wired.com/2012/06/google-x-neural-network Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  11. McDonald-Sandjideh, A. 2017. Announcing TensorFlow 1.0. Google Research Blog. (February 2017). Available at: https://research.googleblog.com/2017/02/announcing-tensorflow-10.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  12. Sato, K. 2016. How a Japanese cucumber farmer is using deep learning and TensorFlow. Google Cloud Platform. (August 2016). Available at: https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  13. Eck, D. 2016. Tech Art: Welcome to MagentaWelcome to Magenta! WIRED. (June 2016). Available at: https://www.wired.com/beyond-the-beyond/2016/06/tech-art-welcome-magenta Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  14. Anon. 2015. Facts about Diabetic Eye Disease. National Eye Institute. (September 2015). Available at: https://nei.nih.gov/health/diabetic/retinopathy Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  15. Peng, L. 2016. Deep Learning for Detection of Diabetic Eye Disease. Google Research Blog. (November 2016). Available at: https://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  16. Stumpe, M. 2017. Assisting Pathologists in Detecting Cancer with Deep Learning. Google research Blog. (March 2017). Available at: https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html Retrieved Feb. 14, 2018.Google ScholarGoogle Scholar
  17. Liu, Y., Gadepalli, K., Norouzi, M. et.al. 2017. Detecting Cancer Metastases on Gigapixel Pathology Images. Computing Research Repository. (March 2017).Google ScholarGoogle Scholar

Index Terms

  1. An Overview of Google Brain and Its Applications

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader
    About Cookies On This Site

    We use cookies to ensure that we give you the best experience on our website.

    Learn more

    Got it!