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Sense Making and Prediction Like the Human Brain

From: Pete D.
Sent on: Saturday, March 30, 2013 1:24 AM

There is going to be a talk at CMU Silicon Valley (on the NASA campus) by Dr. Paul Hofmann of Saffron Technology on April 2, 2013, at 1:30 PM - 2:30 PM.  Here's the blurb:
There is growing interest in brain-like computing, but can machines think like humans? Associative memories learn by example like humans. We present the world's fastest triple store -Saffron Memory Base- for just in time machine learning. Saffron Memory Base uncovers connections, counts and context in the raw data. It builds a semantic graph out of the box from hybrid data sources. Saffron stores the graph and its statistics in matrices that can be queried in real time even for Big Data.

Connecting the Dots. We demonstrate the power of entity rank for real time search by the example of the London Bomber and Twitter sentiment analysis.

Illuminating the Dots. We show the power of Saffron's model-free approach for pattern recognition and prediction on a couple of real world examples like Boeing's use case of predictive maintenance for aircraft.
And here's the website:
 - Pete

Pete DiMarco
Xpliant, Inc.

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