View source for ObviousFuture GmbH (20240403650). ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY

=ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY=


==Organization Name==

[[:Category:ObviousFuture GmbH|ObviousFuture GmbH]]


[[Category:ObviousFuture GmbH]]

==Inventor(s)==

[[:Category:Eduard Weinwurm of Vienna (AT)|Eduard Weinwurm of Vienna (AT)]][[Category:Eduard Weinwurm of Vienna (AT)]]

==ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY==


This abstract first appeared for US patent application 20240403650 titled 'ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY




==Original Abstract Submitted==

method and apparatus for characterizing digital content using artificial neural network (ann) techniques. in some embodiments, computer data sets (such as video, audio, text, etc.) are processed to generate a corresponding sequence of multi-dimensional embedding vectors in a latent space. the embedding vectors are grouped into intervals (segments) of the data sets based on movement metrics associated with the embedding vectors. a representative vector (rv) is selected for each group. thereafter, in response to a query input, selected intervals among the various computer data sets are identified and output based on a similarity measure between the rvs and a search vector derived from the query input. further embodiments provide a transformation model that transforms the embedding vectors and/or the rvs from a first latent space based on a first embedding model to a different, second latent space based on a second embedding model.



[[Category:G06N3/091]]
[[Category:G06N3/045]]
[[Category:CPC_G06N3/091]]