公开(公告)号：US20240039830A1

公开(公告)日：2024-02-01

申请号：US18265954

申请日：2021-12-08

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Nicola Mariella ,  Stephen Patrick Flinter

IPC: H04L45/12 ,  G06N10/60

CPC classification number: H04L45/12 ,  G06N10/60

Abstract: A system and computer-implemented method for allocating a plurality of transactions to a plurality of networks comprising: receiving from a router at a classical computer a plurality of first information associated with a respective one of the plurality of transactions; receiving from a router at the classical computer a plurality of second information associated with a respective one of the plurality of networks; determining in the classical computer a switching characteristic to be optimised by the allocation of the plurality of transactions to the plurality of networks; expressing by the classical computer in at least one expression to a quantum computer, the plurality of first information, the plurality of second information and the switching characteristic; resolving in the quantum computer the at least one expression to determine the allocation of the plurality of transactions to the plurality of networks; and providing the allocation to the router.

公开(公告)号：US20230297826A1

公开(公告)日：2023-09-21

申请号：US17697724

申请日：2022-03-17

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Shiny John Shaju ,  Anil Kumar Surisetty ,  Alok Singh ,  Deepak Chaurasiya ,  Stephen Patrick Flinter ,  Quentin Bragard ,  Alvin Lee ,  I-Hsin Chuang

IPC: G06N3/08 ,  G06N7/00 ,  G06Q20/40

CPC classification number: G06N3/08 ,  G06N7/005 ,  G06Q20/405

Abstract: An aspect of the present disclosure is drawn to a method for managing a payment network, including: learning a transaction pattern of an account over time; generating a transfer function based on the transaction pattern; predicting information for the account based on the density function; changing a state of the account based on the predicted information; and automatically transmitting a notification of a feature to an owner of the account based on the changing of the state of the account, wherein the transfer function is a probability density function of a neural network and wherein the information includes a time of a future transaction linked to a correlated marker of the payment network.

公开(公告)号：US20240420147A1

公开(公告)日：2024-12-19

申请号：US18747992

申请日：2024-06-19

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Mohit Taneja ,  Jack Nicholls ,  James Conway ,  Nitish Kothale ,  Shannon Holland ,  Stephen Patrick Flinter ,  Weston Moran

IPC: G06Q20/40 ,  G06Q20/38

Abstract: A computer implemented method of training a model, using a machine learning process, to predict whether a transaction of a digital currency stored in a blockchain is fraudulent, comprises: obtaining (202) transaction data for a first transaction of first funds in the digital currency, wherein the transaction data further comprises information related to a second transaction of the first funds that preceded the first transaction. The method further comprises labelling (204) the transaction data for the first transaction according to whether the first transaction was fraudulent and using (206) the transaction data and the label as training data with which to train the model.

公开(公告)号：US20240420131A1

公开(公告)日：2024-12-19

申请号：US18748018

申请日：2024-06-19

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Mohit Taneja ,  Jack Nicholls ,  James Conway ,  Nitish Kothale ,  Shannon Holland ,  Stephen Patrick Flinter ,  Weston Moran

IPC: G06Q20/38 ,  G06Q20/40

Abstract: A computer implemented method of decomposing a blockchain comprising transactions in digital currency for analysis and display is described. The method comprises first determining a range of blocks in the blockchain. Each block in the range of blocks in the blockchain is then unpacked into a table comprising one or more rows of input and output data for each transaction stored in the block. For the range of blocks in the blockchain, entity information and transaction information are then aggregated into a block analysis table. A node of a computing network and a computer program product adapted for implementation of such a method are also described.

公开(公告)号：US20240320295A1

公开(公告)日：2024-09-26

申请号：US18577600

申请日：2022-05-23

Applicant: Mastercard International Incorporated

Inventor： Nicola Mariella ,  Stephen Patrick Flinter

IPC: G06F17/16

CPC classification number: G06F17/16

Abstract: A computer implemented method for optimising, an objective optimisation problem. The methods begins by receiving the objective optimisation problem. The objective optimisation problem is represented by an L×L objective matrix comprising a plurality of matrix components A set of frozen variables is received. The method determines a set of freezable matrix components corresponding to the set of frozen variables. Then, a contribution vector is determined based on the set of freezable matrix components and the set of frozen variables An equivalent optimisation problem is determined based on the contribution vector and the objective optimisation problem. The equivalent optimisation problem excludes the freezable matrix components such that the equivalent optimisation problem may be solved on a quantum computer using fewer quantum bits than the objective optimisation problem would require.

公开(公告)号：US20240176598A1

公开(公告)日：2024-05-30

申请号：US18491923

申请日：2023-10-23

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： James Conway ,  Ngoc Minh Tran ,  Stephen Patrick Flinter

IPC: G06F8/35

CPC classification number: G06F8/35

Abstract: A system and method are provided for automating the development of artificial intelligence projects. The system includes a project store that enables the storage, searching and retrieval of existing artificial intelligence projects. The system also includes a data store that enables the storage, searching and retrieval of data sets. A search engine is provided that enables selected features to be applied to neural networks as part of the existing artificial intelligence projects. An artificial intelligence project server is also provided which utilizes a model training and validation module, a model interference module and an input module.

公开(公告)号：US20240037582A1

公开(公告)日：2024-02-01

申请号：US18265953

申请日：2021-12-08

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Nicola Mariella ,  Stephen Patrick Flinter ,  James Conway ,  Quentin Bragard

IPC: G06Q30/0202 ,  G06Q30/0207 ,  G06Q10/0631

CPC classification number: G06Q30/0202 ,  G06Q30/0207 ,  G06Q10/0631

Abstract: A system and computer-implemented method for optimising, by a quantum computer, an allocation of opportunities to recipients comprising: determining a plurality of opportunities to be allocated; determining a plurality of recipients to be allocated at least one of the plurality of opportunities; determining a respective acceptance likelihood of each of the plurality of recipients accepting each of the plurality of opportunities; determining a first constraint associated with a cost acceptance of each of the plurality of opportunities by the plurality of recipients; and determining an optimised allocation of the opportunities to the recipients based on the respective likelihoods and the first constraint, in the quantum computer.