US Patent Issued to Binarly on Feb. 25 for "Machine learning technique for efficiently scheduling tasks for large-scale analysis of binary executables" (British, American, German Inventors)

ALEXANDRIA, Va., Feb. 26 -- United States Patent no. 12,236,262, issued on Feb. 25, was assigned to Binarly Inc (Santa Monica, Calif.).

"Machine learning technique for efficiently scheduling tasks for large-scale analysis of binary executables" was invented by Alexander Matrosov (Santa Monica, Calif.), Sam Lloyd Thomas (Birmingham, Great Britain), Yegor Vasilenko (Cambridge, Great Britain) and Lukas Seidel (Berlin).

According to the abstract* released by the U.S. Patent & Trademark Office: "Features are extracted and/or derived from a software package (e.g., a binary executable, etc.) which are input into a machine learning model to determine an estimated peak memory usage required to analyze the software package. A number of memory resou...