Archive for January, 2016

Finding a Model for Information Negotiations—Human or Machine?

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This week, a research group asked me, “For cognitive computing to take off, what advances do you think we need to make the in next five years?” I answered the question, listing the components of a cognitive system, and then discussing which ones were still fairly primitive. But the question continues to haunt me. The fact is that we’ve had most of the components for cognitive computing for a very long time. Language understanding, machine learning, categorization, voting algorithms, search, ...

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Microsoft Makes Deep Learning Toolkit Available on GitHub

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Microsoft announced that it has open sourced its Computational Networks Toolkit and that the software is now available to the public at hosting service GitHub. Microsoft used the toolkit to help train the Cortana personal assistant product in language recognition – at a rate an order of magnitude faster than with prior approaches.

Read more at The Next Web

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Big Data and Cognitive Computing – Part 3

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In Parts 1 and 2 of our series on Big Data and Cognitive Computing, we proposed that these two trends are often brought up in conversation, but that those conversations rarely help clarify the important differences between these two trends. Are we truly confident that we know which is which and why that is so?

We felt that finding a way to describe these two trends in simple terms—and differentiate among them and define their relationship to each other—could help lower ...

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