ObviousFuture GmbH (20240403650). ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY
Contents
ARTIFICIAL NEURAL NETWORK BASED SEARCH ENGINE CIRCUITRY
Organization Name
Inventor(s)
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.
