US Patent Issued to MERLN on Sept. 15 for "Computing technologies for preserving signals in data inputs with moderate to high levels of variances in data sequence lengths for artificial neural network model training" (Missouri, Texas Inventors)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,616, issued on Sept. 15, was assigned to MERLN LLC (Irving, Texas).

"Computing technologies for preserving signals in data inputs with moderate to high levels of variances in data sequence lengths for artificial neural network model training" was invented by Justin Hofer (O'Fallon, Mo.), Ben Vierck (Ballwin, Mo.) and Jeremy Slater (Friendswood, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "This disclosure enables various computing technologies for various data science techniques to preserve signals in data inputs with moderate to high levels of variances in data sequence lengths for artificial neural network model training. These data scienc...