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|| The O'Reilly Artificial Intelligence Conference provided      : |
  | || compelling evidence that 2016 is the year artificial          : |
  | || intelligence moved from the province of university labs to    : |
  | || being a critical part of the software developer's toolkit and : |
  | || a focus for mainstream companies.                             : |
  | ||                                                               : |
  | || Whether you are a data scientist or software engineer         : |
  | || looking to keep up with the latest developments; a CO in      : |
  | || analytics, data, information, innovation or technology        : |
  | || investigating AI trends; or a VC or corporate strategist      : |
  | || evaluating new business opportunities, you'll find new        : |
  | || information and insight in these videos. The compilation      : |
  | || includes all keynotes and sessions.                           : |
  | ||                                                               : |
  | || Watch rapid-fire keynotes from Intels Genevieve Bell on the   : |
  | || meaning of intelligence within the context of machines;       : |
  | || OReillys founder Tim OReilly on the reasons why society must  : |
  | || not fear artificial intelligence; Microsofts Lily Cheng on the: |
  | || success of Xiaoice, the company Chinese AI-driven chatbot);   : |
  | || and many other visionaries.                                   : |
  | ||                                                               : |
  | || Conference sessions include: Automated Insights Robbie Allen  : |
  | || on the future of natural language generation over the next 10 : |
  | || years; Intels Vin Sharma on the company investment in open AI : |
  | || solutions for the autonomous driving, healthcare, and         : |
  | || financial services industries; UC Berkeleys Pieter Abbeel on  : |
  | || reinforcement learning in robotics; Preferred Networks Shohei : |
  | || Hido on a Python framework for complex neural network; Googles: |
  | || Martin Wicke on the TensorFlow-based APIs that will           : |
  | || democratize machine learning; and Cortical.ios Francisco      : |
  | || Webber on semantic folding, an alternative to the big data    : |
  | || machine learning approach to AI.                              : |

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