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Speaking Artificial Intelligence

$9.95

In early 2015, Computerworld asked John Ball to write about Patom Theory and how it would impact computing practices. Patom Theory is a hierarchical, bidirectional model in which a brain only stores, matches and uses patterns. Prototype software based on the theory was providing strong evidence that problems with human languages could be solved without processing. The outcomes of this work indicated that more human-like interactions with machines is possible. Natural Language Understanding (NLU) was becoming a “blue ocean” possibility instead of just a “blue sky” idea.

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In early 2015, Computerworld asked John Ball to write about Patom Theory and how it would impact computing practices. Patom Theory is a hierarchical, bidirectional model in which a brain only stores, matches and uses patterns. Prototype software based on the theory was providing strong evidence that problems with human languages could be solved without processing. The outcomes of this work indicated that more human-like interactions with machines is possible. Natural Language Understanding (NLU) was becoming a “blue ocean” possibility instead of just a “blue sky” idea.
The conversations turned into a series of seven opinion pieces that explored everything from the good ideas from history that lost out to the processing approaches used today to why AI is impossible to achieve until we break away from the computational model to what it takes to create technologies that understand accurate intent from human language based on meaning.

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