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Cognitive Computing with Associative Memories: Reasoning by Similarity
January 27, 2014 @ 6:30 pm
Speaker: Paul Hofmann, CTO Saffron Technology
6:30 Food & Networking
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. Saffron Technology has implemented a most efficient Associative Memory storing graphs as matrices in a triple store. The Associative Memory functions as a universal compressor for approximating Kolmogorov Complexity K(x). The universal cognitive distance based on K(x) is used for reasoning by similarity like a super brain.
We’ll show use cases from health care @Mt Sinai Hospital in NY, global risk @The Bill and Melinda Gates Foundation, and maintenance and repair at Boeing.
Paul is CTO at Saffron Technology with 20+ years experience as executive in chemical (BASF) & IT industry (SAP, VP R&D) & terrific academic background as Senior Scientist & Assistant Professor at Northwestern University, MIT, Munich & Darmstadt Institute of Technology. He is an expert in machine learning, computer simulations and graphics (Ph.D., research and teaching in Nonlinear Dynamics and Chaos Theory), authoring numerous publications and books. Paul was visiting scientist at MIT, Cambridge in 2009.
Paul joined SAP in 2001 as Director for Business Development EMEA SAP AG. Prior to joining SAP, Paul was Plant Manager at BASF’s Catalysts Global Business Unit. After joining BASF 1989, Paul headed the development of object-oriented production planning and scheduling software for BASF’s plants. He implemented SAP’s Business Suite in BASF’s Chemicals Division. Paul received his Ph.D. in Physics at the Darmstadt University of Technology, Germany, after completing his Bachelor in biotechnology and a master’s degree in Chemistry from the University of Vienna.
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