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CascadiaPrime Cognition - Artificial Intelligence

The rise of artificial intelligence is perhaps the great existential opportunity and challenge of our time.

With wisdom we will see our way through the next several decades as we move beyond narrow artificial intelligence.

We have only just begun to consider its social and economic implications and much needs to be done to foster public understanding and political awareness. It is incumbent on leaders everywhere to begin to study these developments and anticipate the social needs during the coming transitional era.

Per the global consulting firm McKinsey & Company, "Continuation of Moore’s law means that the next 18 months or so will bring a doubling of all the advances in computational power and speed we’ve experienced from the birth of the transistor until today."

  Stuart Russell - The Long-Term Future of (Artificial) Intelligence (May 2015)
  Eric Horvitz on the New Era of Artificial Intelligence (January 2015)
  Demis Hassabis, Google DeepMind, "General learning algorithms” (Artificial General Intelligence vs Narrow AI) (May 2015)
  Max Tegmak and Nick Bostrum at the U.N. (at 1:55 minute mark) Rising to the Challenges of International Security and the Emergence of Artificial Intelligence (October 2015)
  Rise of Artificial Intelligence | Off Book | PBS Digital Studios
  Conferences on Philosophy and Theory of Artificial Intelligence
  The Allen Institute for Artificial Intelligence (AI2)
  Association for the Advancement of Artificial Intelligence
  International AI Societies)
  Michael Anissimov - Artificial Intelligence Progress
  The Center for Brains, Minds and Machines (CBMM) - MIT, Harvard, Cornell
  Machine Intelligence Research Institute (MIRI)
  A Visual Introduction to Machine Learning
  Japanese Society for Artificial Intelligence (JSAI)
  Jonathan Schaeffer Artificial Intelligence - limits and strengths
  Henry Markham - Brain Modeling with Supercomputing - Video - 15 min.
  American Association of Artificial Intelligence
  Oxford - Philosphy & Theory of Artificial Intelligence
  The Cyc Foundation
  Gatsby Computational Neuroscience Unit
  Probabilistic Programming for Advanced Machine Learning”(PPAML) - Future of Machine Learning
  RoboEarth - a World Wide Web for robots to share and learn
  US Brain Initiative
  The European Human Brain Project
  MIT - Artificial Intelligence - Open Courseware - Patrick H Winston
  John Vervaeke - Why don't we have AI yet?
  Journal of Artificial Intelligence Research
  Consciousness, Artificial Intelligence, and the Frame Problem- Murray Shanahan keynote at PT-AI 2013
  Lukasz Stafiniak - AI Lecture Collection
  IBM Watson Dev
  Seed AI Defined - a term coined by Eliezer Yudkowsky
  Practopoiesis Prof. Dr. Danko Nikolic Max-Planck Institute for Brain Research
  Neural Turing Machine: Computer with human-like learning will program itself
  Ten new thought leaders in AI
  Reinforcement Learning and Artificial Intelligence
  AI Hub
  Daniel Dewey, Oxford, The Long-Term Future of AI - 15 min TED Talk
  Canadian Artificial Intelligence Association (CAIAC)
  UBC Computer Science Research
  AI on the Web - People, Companies, Research Groups & Resources
  See Also the Quantum Revolution Section of Cascadiaprime