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Nov 16, 2011, San Diego, CA - Artificial intelligence vendor ai-one will unveil a new approach to graphically represent knowledge at the SuperData conference in San Diego on Wednesday. The discovery, named ai-Fingerprint, is a significant breakthrough because it allows computers to understand the meaning of language much like a person. Unlike other technologies, ai-Fingerprints compresses knowledge in way that can work on any kind of device, in any language and shows how clusters of information relate to each other. This enables almost any developer to use off-the-shelf and open-source tools to build systems like Apple's Siri and IBM Watson.
Ondrej Florian, ai-one's VP of Core Technology invented ai-Fingerprints as a way to find information by comparing the differences, similarities and intersections of information on multiple websites. The approach is dynamic so that the ai-Fingerprint transforms as the source information changes. For example, the shape for a Twitter feed adapts with the conversation. This enables someone to see new information evolve and immediately understand its significance.
"The big idea is that we use artificial intelligence to identify clusters and show how each cluster relates to another," said Florian. "Our approach enables computers to compare ai-Fingerprints across many documents to find hidden patterns and interesting relationships."
The ai-Fingerprint is the collection of all the keywords and their associations identified by ai-one's Topic-Mapper tool. Each keyword and its associations is a coordinate - much like what you would find on a map. The combination of these keywords and associations forms a graph that encapsulates the entire meaning of the document.
For more information, and to see a demo of the system visit www.ai-one.com.