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What is a good algorithm for the context detection in chatbots?

Posted on 2015/03/192016/09/15 by mendicott

What is a good algorithm for the context detection in chatbots?

Dialog State Tracking is a well known unsolved problem in chatbots.

Google’s DeepMind creates a computer that mimics human short term memory

The human brain might only be able to handle about seven chunks of data at a time in memory, but it has a way of merging chunks of data into single units after they’ve been fully processed. This recoding in short term memory could be the path to artificial intelligence — the key to a machine understanding a concept and using it to extrapolate new ones. This is what DeepMind is aiming for, so maybe that $400 million purchase price is starting to make a little more sense.

See also my recent Quora answer to:

  • What are good resources on Dialog State Tracking?
  • Meta CTO Andrew Bosworth’s Military Commission Signals Deepening Merger of Silicon Valley and U.S.
  • Meta Mirrors Twitter’s Ideological Decline Through a More Covert and Enduring Transformation
  • Yann LeCun’s Vision and Meta’s Diverging Paths on Artificial Intelligence
  • Meta’s AI Bots Quietly Introduce Automated Moderation Tools into Facebook Groups
  • Meta’s Lockout of Marcus Endicott Exposes Strategic Blindness in the West’s AI Race

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