Patents by Inventor Jonathan GARRITY

Jonathan GARRITY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SYSTEMS AND METHODS FOR GENERATIVE REINFORCEMENT LEARNING FOR AUTOMATED KNOWLEDGE ACQUISITION AND PLANNING
    Publication number: 20260220506
    Abstract: Systems and methods are provided to generate a predictive engine for a corresponding real-world domain based on Bayesian inferences applied to priors taken from large language model outputs and domain-expert knowledge, and to perform evaluation and reinforcement learning of counterfactual scenarios applied to the predictive engine. The approach accommodates offline/batch and online/real-time updates, leveraging cost functions and constraints to identify near-optimal actions without risky trial-and-error in the physical domain.
    Type: Application
    Filed: January 30, 2026
    Publication date: July 30, 2026
    Inventors: William VEGA-BROWN, Jonathan Garrity
  • Systems and methods for anomaly detection and survival analysis for physical assets
    Patent number: 11265688
    Abstract: Systems and methods are provided to predict failure probabilities and estimate remaining useful life in real time for physical assets such as systems or devices in a distributed fleet. Systems and methods generate models that can be used to create hazard functions based on sensor data, create survival functions based on hazard functions, and calculate variables (e.g., remaining life, time of failure) for one or more assets based on the survival functions.
    Type: Grant
    Filed: September 10, 2019
    Date of Patent: March 1, 2022
    Assignee: Tagup, Inc.
    Inventors: Jonathan Garrity, William Vega-Brown
  • SYSTEMS AND METHODS FOR ANOMALY DETECTION AND SURVIVAL ANALYSIS FOR PHYSICAL ASSETS
    Publication number: 20200084601
    Abstract: Systems and methods are provided to predict failure probabilities and estimate remaining useful life in real time for physical assets such as systems or devices in a distributed fleet. Systems and methods generate models that can be used to create hazard functions based on sensor data, create survival functions based on hazard functions, and calculate variables (e.g., remaining life, time of failure) for one or more assets based on the survival functions.
    Type: Application
    Filed: September 10, 2019
    Publication date: March 12, 2020
    Inventors: Jonathan GARRITY, William VEGA-BROWN