US Patent Issued on April 7 for "System for inferring saliency in a multivariate time series derived from periodic conversation with fine-tuned large language model" (Washington Inventor)

ALEXANDRIA, Va., April 7 -- United States Patent no. 12,596,878, issued on April 7.

"System for inferring saliency in a multivariate time series derived from periodic conversation with fine-tuned large language model" was invented by Anson An-Chun Tsao (Redmond, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method that generates and stores a multivariate time series of the user's conditions and activities, based on the interpretation of the user's natural language input through trained AI including large language models. This time series serves as a comprehensive record of the user's well-being and provides the foundation for the system's ability to identify the factors that most signific...