US Patent Issued on June 2 for "Systems and methods for efficient dataset distillation using non-deterministic feature approximation" (Massachusetts, New York Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,646,295, issued on June 2.

"Systems and methods for efficient dataset distillation using non-deterministic feature approximation" was invented by Noel Loo (Cambridge, Mass.), Ramin Hasani (New York), Alexander A. Amini (Brookline, Mass.) and Daniela Rus (Weston, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Dataset distillation compresses large datasets into smaller synthetic coresets that retain performance with the aim of reducing storage and computational burdens of processing an original, entire dataset. The present disclosure provides an improved algorithm that uses a non-deterministic feature approximation of neural network Gaussian process ...