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Safety_Critical_Machine_Learning |
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Leonard™ has been presented at the Fourth International Conference
on Cognitive and Neural Systems at
This is a content-based search engine that allows you to search the
web for documents similar to the one(s) you have uploaded as a reference.
This system is based on a server equipped with multiple boards
equipped with neuromorphic processors based on RBF architecture and RCE
(Restricted Coulomb Energy) learning algorithm.
The system is capable of analyzing hundreds of thousands of
documents, producing, for each of them, a vector signature that describes their
content based on a certain number of vocabularies associated with a subject.
This database of "semantic signatures" is compared in
parallel when a query is performed with a reference document from which a
signature is extracted using a similar procedure. This application has been defined in detail and a POC has been
produced in the intranet environment.
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Scientific Publication
Internet Search Engines based on Artificial Neural Systems
implemented in Hardware would enable a Powerful and Flexible Content Based
Research of Professional and Scientific Documents |
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project based on Neuromem® technology
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General Synaptics Aerospace_and_Defence_Machine_Learning_Company VAT NUMBER:_IT02670700992 REA NUMBER: GE-503104 Email:_luca.marchese@synaptics.org |
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