Patents by Inventor Anton IPSEN

Anton IPSEN 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).

  • Publication number: 20250173633
    Abstract: Various methods and processes, apparatuses/systems, and media for automatically generating robust data driven decisions based on attendance data are disclosed. A processor receives, via a user interface, attendance data and population data. The population data indicates which team a given employee belongs to. The processor implements an AI system that includes an AI module and an AI planner; and causes the AI system to automatically calculate the plurality of teams' attendance on any given date which is present in the attendance data; receives input data from a user indicating whether the user wants to invoke a first process or a second process; invokes the AI module, in response to receiving the input data, that automatically generates a solution according to an AI model and configurable constraints; and causes the AI planner to automatically generate robust data driven decisions report in accordance with the solution.
    Type: Application
    Filed: November 27, 2023
    Publication date: May 29, 2025
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Anton IPSEN, Rui Manuel Ramos Teixeira DA SILVA, Michael CASHMORE, Nicolas MARCHESOTTI, Kirsty FIELDING, Daniele MAGAZZENI, Manuela VELOSO
  • Publication number: 20250060997
    Abstract: A method and a system for using artificial intelligence (AI) techniques to generate actionable recourses for resolving constrained resource allocation problems that would otherwise be infeasible are provided. The method includes: receiving, from a user, a request for a resource allocation that includes information that relates to resources to be allocated; receiving information that relates to mandatory constraints with respect to the request; determining that an infeasibility exists with respect to fulfilling the request in a manner that satisfies each of the constraints, by applying an AI algorithm that uses a mixed-integer optimization technique for identifying at least one constraint that is impossible to satisfy; and generating an actionable recourse for facilitating a fulfillment of the request in a manner that overcomes the infeasibility.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 20, 2025
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Anton IPSEN, Rui Manuel Ramos Teixeira DA SILVA, Michael CASHMORE, Kirsty FIELDING, Nicolas MARCHESOTTI, Daniele MAGAZZENI, Manuela VELOSO
  • Publication number: 20250061248
    Abstract: A method and a computing apparatus for generating a seat allocation plan are provided. The method includes: receiving a floorplan that corresponds to a floor of a building; analyzing the floorplan in order to determine a number of seats and to identify locations of the seats and locations of non-seating areas; receiving a first input that includes information that relates to a plurality of persons for which seat allocations are to be made; and determining, based on a result of the analyzing and the first input, a seat allocation plan. The determination of the seat allocation plan may be effected by applying an artificial intelligence (AI) algorithm that implements a Mixed Integer Programming and Constraint Reasoning technique with respect to the result of the analyzing and the first input.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 20, 2025
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Rui Manuel Ramos Teixeira DA SILVA, Anton IPSEN, Kirsty FIELDING, Nicolas MARCHESOTTI, Michael CASHMORE, Daniele MAGAZZENI, Manuela VELOSO
  • Publication number: 20250061392
    Abstract: A method and a system for using artificial intelligence (AI) techniques to generate explanations for infeasible constrained resource allocation problems are provided. The method includes: receiving, from a user, a request for a resource allocation that includes information that relates to resources to be allocated; receiving information that relates to mandatory constraints with respect to the request; determining that an infeasibility exists with respect to fulfilling the request in a manner that satisfies each of the constraints, by applying an AI algorithm that uses a mixed-integer optimization technique for identifying at least one constraint that is impossible to satisfy; and generating an explanation for the infeasibility based on a result of the determination that the infeasibility exists.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 20, 2025
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Anton IPSEN, Rui Manuel Ramos Teixeira DA SILVA, Michael CASHMORE, Kirsty FIELDING, Nicolas MARCHESOTTI, Daniele MAGAZZENI, Manuela VELOSO