ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,877, issued on Nov. 3, was assigned to MERLN LLC (Irving, Texas).

"Artificial neural network for sparse data processing" was invented by Ben Vierck (Ballwin, Mo.), Jeremy Slater (Friendswood, Texas) and Justin Hofer (O'Fallon, Mo.).

According to the abstract* released by the U.S. Patent & Trademark Office: "This disclosure enables various computing technologies for various data science techniques for ameliorating negative impacts of signals that are sparse in various data series for trainings of ANN models. These data science techniques can be helpful for dealing with time series or non-fixed-length time spans or other forms of discretized, parsed, or tokenized data. Some of the d...