A stream of graphs on the contextual analysis of some 1.7 million book titles gets me thinking on how statistical analysis might be essential in the training of an AI. The greatest step in front of the AI developments of our day is the transition from combinational, direct-mapping decision maps to algorithms that examine the trends and stochastically determine the outcome from more than just a few sensor readings or any simple set of data.
Last week, I watched a video from the Google Tech Talks, about a relatively new neural network model that was able to separate entire documents into classes by their topics. Where we give the ability to manipulate, rather than just analyze and understand data to AI, we create "life" in a world we have created by ourselves and for ourselves and we establish strong links from this new world's entities to the physical reality.
On the image: funny how the title word "universal" has been in a sharply declining trend for so long. Probably replaced by "global" though.
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