Self-learning AIs going beyond limit

Date: October 31, 2016 Published by



  • But none of them could realize a truly self-learning AI system because that required coding processes before the system starts learning something.
  • In its early days, machine learning researchers focused on supervised learning algorithms such as decision tree learning, inductive logic programming, Bayesian networks, clustering and reinforced learning.
  • The new neural network technology, called “differentiable neural computer” (DNC), allows an AI system to store the data it calculated from the input.
  • The company said the module can run deep learning algorithms by 24 trillion times per second.
  • Latest advances

    DeepMind, a Google subsidiary that has made the AlphaGo system, is continuing to pioneer AI and machine learning technology development.


http://www.koreatimes.co.kr/www/news/tech/2016/10/133_217142.html

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