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1. 发明授权

US11615103B2 Cognitive process composition 有权
公开(公告)号：US11615103B2
公开(公告)日：2023-03-28
申请号：US16801858
申请日：2020-02-26
申请人： Cognitive Scale, Inc.
发明人： Matthew Sanchez
IPC分类号： G06F16/2458 , G06N20/00 , G06F16/2455 , G06N5/043 , G06F40/30 , G06N3/006 , G06N5/04 , G06N5/02 , G06Q10/0631 , G06Q50/20 , H04L67/10 , H04L67/01
摘要： A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes processing data from a plurality of data sources to provide cognitively processed insights via a augmented intelligence platform, the augmented intelligence platform comprising a cognitive process foundation platform, the cognitive process foundation platform comprising a cognitive composition platform, the cognitive composition platform being implemented to create custom extensions to the augmented intelligence platform.

2. 发明授权

US11386296B2 Augmented intelligence system impartiality assessment engine 有权
公开(公告)号：US11386296B2
公开(公告)日：2022-07-12
申请号：US16663604
申请日：2019-10-25
申请人： Cognitive Scale, Inc.
发明人： Joydeep Ghosh , Jessica Henderson , Matthew Sanchez
IPC分类号： G06F15/16 , G06K9/62 , G06N20/00 , G06N5/04 , G06N5/02 , G06F16/9535 , G06N99/00 , G06Q10/10 , G06T19/00 , H04L67/00 , G06V10/75
摘要： A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

3. 发明授权

US11379691B2 Burden score for an opaque model 有权
公开(公告)号：US11379691B2
公开(公告)日：2022-07-05
申请号：US16663617
申请日：2019-10-25
申请人： Cognitive Scale, Inc.
发明人： Joydeep Ghosh , Jessica Henderson , Matthew Sanchez
IPC分类号： G06V10/774 , G06K9/62 , G06N20/00 , G06N5/04 , G06N5/02 , G06F16/9535 , G06N99/00 , G06Q10/10 , G06T19/00 , H04L67/00 , G06V10/75
摘要： A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function, the impartiality assessment operation generating a burden score representing the presence of bias in the outcome; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

4. 发明申请

US20210264303A1 Hierarchical Topic Machine Learning Operation 有权
公开(公告)号：US20210264303A1
公开(公告)日：2021-08-26
申请号：US17306240
申请日：2021-05-03
申请人： Cognitive Scale, Inc.
发明人： Ayan Acharya , Matthew Sanchez
IPC分类号： G06N5/04 , G06N7/00 , G06Q30/02 , G06Q10/04 , G06Q10/10 , G06Q50/14 , G06Q50/12
摘要： A method, system and computer readable medium for generating a cognitive insight comprising: receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system; performing a hierarchical topic machine learning operation on the training data; generating a cognitive profile based upon the information generated by performing the hierarchical topic machine learning operation; and, generating a cognitive insight based upon the cognitive profile generated using the hierarchical topic machine learning operation.

5. 发明申请

US20210264302A1 Cognitive Machine Learning Architecture 有权
公开(公告)号：US20210264302A1
公开(公告)日：2021-08-26
申请号：US17306237
申请日：2021-05-03
申请人： Cognitive Scale, Inc.
发明人： Ayan Acharya , Matthew Sanchez
IPC分类号： G06N5/04 , G06Q30/02 , G06Q10/10 , G06Q50/12 , G06Q50/14 , G06Q10/04
摘要： A method, system and computer readable medium for generating a cognitive insight comprising: receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system; performing a plurality of machine learning operations on the training data; generating a cognitive profile based upon the information generated by performing the plurality of machine learning operations; and, generating a cognitive insight based upon the profile generated using the plurality of machine learning operations.

6. 发明申请

US20210209688A1 Facilitation of Transparency of Claim-Settlement Processing by a Third-Party Buyer 有权
公开(公告)号：US20210209688A1
公开(公告)日：2021-07-08
申请号：US16732788
申请日：2020-01-02
申请人： Cognitive Scale, Inc.
发明人： Lakshminarayanan Krishnamurthy , Prakhar Sharma
IPC分类号： G06Q40/06 , G06Q10/10
摘要： A technology that facilitates transparency of claim processing for a third-party payer is disclosed. Exemplary implementations may: receive a claim submission from a service provider and/or one or more agents thereof to seek settlement for goods and/or services provided to a beneficiary of a third-party payer; receive beneficiary data from the third-party payer; combine the claim-submission data and the beneficiary data to form claim data; store the claim data in an immutable and appendable format; obtain a determination of a state of the claim that is based at least in part on the claim data; update the claim data by appending the determination of the state of the claim; and provide access to the stored claim data to the third-party payer and the service provider and/or the one or more agents thereof.

7. 发明授权

US10726342B2 Cognitive information processing using a cognitive blockchain architecture 有权
公开(公告)号：US10726342B2
公开(公告)日：2020-07-28
申请号：US15347025
申请日：2016-11-09
申请人： Cognitive Scale, Inc.
发明人： Manoj Saxena , Matthew Sanchez , Richard Knuszka
IPC分类号： G06N5/04 , G06Q20/02
摘要： A cognitive information processing system environment which includes a plurality of data sources, at least one of the plurality of data sources comprising a blockchain data source having associated blockchain data; a cognitive inference and learning system coupled to receive the data from the plurality of data sources to provide cognitively processed data, the cognitive inference and learning system performing a learning operation to improve the cognitively processed data over time, the learning operation being based at least in part on the blockchain data from the blockchain data source; and, a destination, the destination receiving the cognitively processed data.

8. 发明授权

US10706357B2 Ingesting information into a universal cognitive graph 有权
公开(公告)号：US10706357B2
公开(公告)日：2020-07-07
申请号：US15290404
申请日：2016-10-11
申请人： Cognitive Scale, Inc.
发明人： Hannah R. Lindsley
IPC分类号： G06N5/02 , G06N5/04 , G06N20/00 , G06F16/84 , G06F16/332 , G06F16/901 , G06F16/903 , G06F16/36 , G06N5/00
摘要： A computer-implementable method for ingesting information into a cognitive graph comprising: receiving data from a data source; determining whether the data comprises text; processing the data, the processing comprising performing a natural language processing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the natural language processing operation; and, storing at least some of the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data.

9. 发明授权

US10528873B2 Method for providing travel industry optimized cognitive insights 有权
公开(公告)号：US10528873B2
公开(公告)日：2020-01-07
申请号：US14629721
申请日：2015-02-24
申请人： Cognitive Scale, Inc.
发明人： Matthew Sanchez , Manoj Saxena , Akshay Sabhikhi
IPC分类号： G06N5/04
摘要： A method for providing travel optimized cognitive insights comprising: receiving data from a plurality of data sources, at least some of the plurality of data sources comprising travel relevant data sources; processing the data from the plurality of data sources to provide cognitively processed insights; performing a learning operation to iteratively improve the cognitively processed insights over time; and, providing the cognitively processed travel relevant insights to a destination.

10. 发明授权

US10445656B2 Cognitive machine learning system 有权
公开(公告)号：US10445656B2
公开(公告)日：2019-10-15
申请号：US14869243
申请日：2015-09-29
申请人： Cognitive Scale, Inc.
发明人： Matthew Sanchez , Manoj Saxena
IPC分类号： G06N20/00 , G06F16/2458
摘要： A cognitive information processing system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive machine learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive machine learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and, updating a destination based upon the learning result.

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