Patents by Inventor Neil Pradeep Kulkarni

Neil Pradeep Kulkarni 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).

  • Scenario evaluation and projection using Monte Carlo simulation and machine learning
    Patent number: 11468384
    Abstract: Described herein are improved systems and methods for overcoming technical problems associated with the use of Monte Carlo simulation methods, such as problems associated with applications of Monte Carlo simulation methods that are searching for more definite answers. In some embodiments described herein, improved systems and methods overcome the technical problem of the results of Monte Carlo simulations providing approximations and/or non-optimal results (or at least non-enhanced results). Thus, such embodiments can provide more enhanced answers to limiting risks; and in some cases, such embodiments can even provide optimal answers to limiting risks. In some embodiments, machine learning can be used to provide more enhanced answers to limiting risks; and in some cases, such embodiments can use machine learning to provide optimal answers to limiting risks discovered through Monte Carlo simulations.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: October 11, 2022
    Inventor: Neil Pradeep Kulkarni
  • SCENARIO EVALUATION AND PROJECTION USING MONTE CARLO SIMULATION AND MACHINE LEARNING
    Publication number: 20200356919
    Abstract: Described herein are improved systems and methods for overcoming technical problems associated with the use of Monte Carlo simulation methods, such as problems associated with applications of Monte Carlo simulation methods that are searching for more definite answers. In some embodiments described herein, improved systems and methods overcome the technical problem of the results of Monte Carlo simulations providing approximations and/or non-optimal results (or at least non-enhanced results). Thus, such embodiments can provide more enhanced answers to limiting risks; and in some cases, such embodiments can even provide optimal answers to limiting risks. In some embodiments, machine learning can be used to provide more enhanced answers to limiting risks; and in some cases, such embodiments can use machine learning to provide optimal answers to limiting risks discovered through Monte Carlo simulations.
    Type: Application
    Filed: May 10, 2019
    Publication date: November 12, 2020
    Inventor: Neil Pradeep Kulkarni