US Patent Issued to GOOGLE on June 17 for "Machine-learned models for generating code snippets with predicted placeholders for optimizing software development" (American, Canadian, German Inventors)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,277, issued on June 17, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Machine-learned models for generating code snippets with predicted placeholders for optimizing software development" was invented by Daniel Dun-ning Woo Johnson (Toronto), Daniel Stefan Tarlow (Montreal, Canada), Maxim Tabachnyk (Munich), Marc Hatcher Rasi (Sunnyvale, Calif.), Jacob Austin (New York), Hassan Abolhassani (Palo Alto, Calif.) and Jacob Hanson Hegna (Minneapolis).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods of the present disclosure are directed to a method for machine-learned code segment prediction for optimizing software development. The...