Image via Wikipedia When we first started the Preona project one of our most important assumptions was that actively liking things is very cumbersome and few people will want to do it in order to personalise the reading suggestion system. What we wanted to build was a system that could automagically learn from what the [...]
This entry was written by , posted on May 20, 2010 at 1:42 pm, filed under Real-Time web, Synaptic web, The Web and tagged Application programming interface, Artificial intelligence, Google, Machine learning, Recommender system.
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Our earlier post about the Semantic vs. Synaptic Web has raised some questions about the users of this new web trend. Why do we think it will be about the users and no more about the computers talking between each other. We can reference a bit with Ghost in The Shell. There is a network [...]
This entry was written by , posted on January 7, 2010 at 9:18 am, filed under synaptic web and tagged Application programming interface, Brain, Data, Knowledge Management, Knowledge Representation, Machine learning, Metadata, Semantic Web, synaptic web.
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Image via Wikipedia Just as the foundation of modern RISC computers was a set of basic design and performance requirements put forth in the mid 1970′s, so too there are a few basic requirements for a synaptic web application. Paraphrased and somewhat shortened from synapticweb.org they are: They connect two or more categories of things [...]
This entry was written by , posted on December 29, 2009 at 10:21 am, filed under Algorithms, synaptic web and tagged Add new tag, Application programming interface, Artificial intelligence, Google, Google Reader, Machine learning, People, Research Groups, Web application.
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