DEEP LEARNING FOR CREDIT CONTROLS

Patent №

US 11,625,569

Granted

2023-04-11

Filed 2017

Owner

CHICAGO MERCANTILE EXCHANGE INC.

Lab

AI components

5

ml · nlp · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15467632

Systems and methods are provided to identify abnormal transaction activity by a participant that is inconsistent with current conditions. Historical participant and external data is identified. A recurrent neural network identifies patterns in the historical participant and external data. A new transaction by the participant is received. The new transaction is compared using the patterns to the historical participant and external data. An abnormality score is generated. An alert is generated if the abnormality score exceeds a threshold.

Machine learningNatural languageSpeechPlanningAI hardwareG06Q 40/04G06N 3/04G06N 3/044G06N 3/0442G06N 3/045G06N 3/0455G06N 3/084G06N 3/0895+1 more

AI classification

Planning1.00
Machine learning1.00
AI hardware1.00
Natural language0.61
Speech0.55
Knowledge representation0.41
Vision0.05
Evolutionary computation0.00

Ownership

CHICAGO MERCANTILE EXCHANGE INC.

assignment · 417070605

Assignors

STUDNITZER, ARI, GEDDES, DAVID, SINGH, INDERDEEP

On an employer assignment, the assignors are typically the inventors.

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