Cognitive Computing with Associative Memories: Reasoning by Similarity
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  Paul Hofmann   Paul Hofmann
Space-Time Insight


Thursday, August 21, 2014
11:15 AM - 11:45 AM

Level:  Technical - Introductory

We combine two very powerful ideas, Associative Memories and Kolmogorov Complexity for Cognitive Computing in order to make meaning from huge data sets in real time. Associative Memories mimic how humans learn and think but much faster and more powerfully. The Associative Memory functions as a universal NoSQL graph representation of structured and unstructured data. The universal cognitive distance based on Kolmogorov Complexity is used for reasoning by similarity on top of the NoSQL store.

We’ll show use cases from health care at Mt. Sinai Hospital in NY - automatic diagnosis of echocardiograms in real time, from global risk at The Bill and Melinda Gates Foundation - real time threat scoring reading incoming emails, and from maintenance and repair @Boeing - predicting before a part breaks.

Paul is responsible for Space-Time Insight's technology direction and product management. With more than 20 years’ experience in enterprise software and services, Paul’s background combines academic thought leadership with international executive leadership at global companies. Before joining Space-Time Insight, Paul was CTO at Saffron Technology and Vice President Research at SAP Labs at Palo Alto.

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