IP Library Granted Patent US 10,719,771
Granted Patent B2
US 10,719,771 · App. 15/347,032 · Granted Jul 21, 2020

Method for cognitive information processing using a cognitive blockchain architecture

Inventors: Manoj Saxena (Austin, TX); Matthew Sanchez (Austin, TX); Richard Knuszka (Hampshire, GB)
Assignee: Cognitive Scale, Inc.
G06N5/04G06Q20/02
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Quick Facts
Patent No.
US 10,719,771
App. No.
15/347,032
Granted
Jul 21, 2020
Kind
B2
Abstract

A computer-implementable method for cognitive information processing comprising: receiving data from a plurality of data sources, at least one of the plurality of data sources comprising a blockchain data source having associated blockchain data; processing the data from the plurality of data sources to provide cognitively processed data; 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, providing the cognitively processed data to a destination.

Claims (25)

1. A method for cognitive information processing comprising:

receiving data from a plurality of data sources, at least one of the plurality of data sources comprising a blockchain data source having associated blockchain data;

processing the data from the plurality of data sources to provide cognitively processed data, the processing being performed via a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising

a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph comprising a blockchain cognitive graph and an application cognitive graph, the blockchain cognitive graph comprising a cognitive graph associated with blockchain knowledge, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive graph, and,

a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight/learning engine, the graph query engine accessing knowledge elements stored within the blockchain cognitive graph and the application cognitive graph when providing the cognitively process data;

performing a learning operation, the learning operation evolving the cognitively processed data over time, the learning operation being based at least in part on the blockchain data from the blockchain data source, cognitively processed data based upon blockchain data being stored within the blockchain cognitive graph, the learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and,

providing the cognitively processed data to a destination, the destination comprising the cognitive application, the cognitive application enabling a user to interact with the cognitive learning result.

2. The method of claim 1 , further comprising:

performing a single step assurance operation based upon the cognitively processed data.

3. The method of claim 1 , further comprising:

generating a cognitive insight based upon the cognitively processed data.

4. The method of claim 3 , further comprising:

using the blockchain data to assure the cognitive insight.

5. The method of claim 3 , further comprising:

using the blockchain data to provide visibility into transactions used for generation of the cognitive insight.

6. The method of claim 1 , wherein:

the plurality of data sources further comprise at least one of a social data source, a public data source, a private data source and a device data source.

7. The method of claim 1 , further comprising:

performing cognitive analysis operations on the blockchain data.

8. The method of claim 1 , further comprising:

generating cognitive blockchain data based upon the cognitively processed data.

9. The method of claim 8 , further comprising:

initiating a blockchain transaction based upon the cognitive blockchain data.

10. The method of claim 1 , further comprising:

performing learning operations, the learning operations training a cognitive inference and learning system (CILS) using the blockchain data.

Assignments (4)
SECURITY INTEREST Recorded Dec 22, 2022
From: TECNOTREE TECHNOLOGIES INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 062213/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2022
From: COGNITIVE SCALE, INC.; COGNITIVESCALE SOFTWARE INDIA PVT. LTD.; COGNITIVE SCALE UK LTD.; COGNITIVE SCALE (CANADA) INC.
To: TECNOTREE TECHNOLOGIES, INC.
Reel/Frame 062125/0051 →
SECURITY INTEREST Recorded Oct 25, 2022
From: COGNITIVE SCALE INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 061771/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 16, 2017
From: SAXENA, MANOJ; SANCHEZ, MATTHEW; KNUSZKA, RICHARD
To: COGNITIVE SCALE, INC.
Reel/Frame 041274/0860 →
Continuity (1)
Related Publication 20180129945A1 · May 10, 2018