Patents by Inventor Mary Rudden
Mary Rudden 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).
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Patent number: 11640379Abstract: An embodiment includes identifying metadata attached to a first node of a graph, where the metadata satisfies an ontological condition. The embodiment also includes transforming the graph such that the transforming results in the graph having a new graph structure, where the transforming of the graph comprises removing the metadata from the first node and adding a second node representative of the metadata removed from the first node to the graph such that the second node is connected to the first node by a first edge.Type: GrantFiled: January 2, 2020Date of Patent: May 2, 2023Assignee: KYNDRYL, INC.Inventors: Craig M. Trim, Mary Rudden, Ahmed Nassar, William G. Dusch
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Patent number: 11537650Abstract: A computer-implemented method for generating a description of a target skill set using domain specific language, a computer program product, and a system. Embodiments may comprise, on a processor, ingesting a data set related to the target skill from a data store, semantically analyzing the data set to generate a skill ontology, generating a hyperplane to separate one or more priority skills from among the plurality of related skills, generating a description for the target skill from the one or more priority skills, and presenting the generated description to a user. The skill ontology may include relationships between the target skill and a plurality of related skills.Type: GrantFiled: June 28, 2020Date of Patent: December 27, 2022Assignee: International Business Machines CorporationInventors: Mary Rudden, Craig M. Trim, Leo Kluger, Abhishek Basu
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Patent number: 11501241Abstract: A method of analyzing one or more asset repositories to determine a developer's competency and ability to collaborate in a team environment. The method includes obtaining metadata artifacts as documents from one or more asset repositories. The documents are represented using a tree structure that has nodes to form a knowledge graph that is suitable for input vectorization. Each node is configured in the tree structure to represent a content region within the one or more documents, with a root node representing the entire document and each node representing an aggregation of all its children nodes. One or more computing devices are used to receive an input vector that includes a set of descriptive statistics about data in asset repositories and a vectorized form of one or more concepts. The developer's competency and ability to collaborate in a team environment is automatically estimated using output values of a trained neural network.Type: GrantFiled: July 1, 2020Date of Patent: November 15, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Craig M. Trim, Mary Rudden, Leo Kluger, Aman Buttan
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Publication number: 20220309441Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.Type: ApplicationFiled: June 10, 2022Publication date: September 29, 2022Applicant: International Business Machines CorporationInventors: Mary Rudden, Craig M. Trim, Martin G. Keen, John M. Ganci, JR., Hernan A. Cunico
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Patent number: 11452940Abstract: By analyzing video, audio, and statistical data of a real-world activity, a real-world scenario is identified that is within a threshold similarity of the analyzed video, audio, and statistical data of the real-world activity. The real-world scenario is applied to a game application that uses the real-world activity as a data source, the applying comprising adjusting a portion of a physics engine, the physics engine simulating a physical phenomenon portrayed in the game application.Type: GrantFiled: June 9, 2020Date of Patent: September 27, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Aaron K. Baughman, Shikhar Kwatra, Mary Rudden, Gray Franklin Cannon
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Patent number: 11429908Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.Type: GrantFiled: April 30, 2020Date of Patent: August 30, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Mary Rudden, Craig M. Trim, Martin G. Keen, John M. Ganci, Jr., Hernan A. Cunico
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Publication number: 20220269698Abstract: From an unstructured content using an ontology, a forward materialization graph is generated. The forward materialization graph is converted to a set of vector representations comprising multidimensional numbers representing elements of the forward materialization graph. A set of inference paths is computed for the set of vector representations. An inference path in the set of inference paths connecting a first vector representation with a second vector representation. Based on a set of features, the set of vector representations is formed into clusters, a feature in the set of features comprising a relevance probability, the relevance probability corresponding to a relevance of a portion of the unstructured content according to a relevance metric. A structured representation of the unstructured content is placed at an edge location of a content delivery network determined using the set of clusters.Type: ApplicationFiled: February 19, 2021Publication date: August 25, 2022Applicant: International Business Machines CorporationInventors: Craig M. Trim, Mary Rudden, Anthony Stevens, Martin G. Keen
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Publication number: 20220272136Abstract: A set of nodes of a content delivery network are weighted according to an effect of a node on a network. A data points parameter specifying a number of nodes constituting a cluster is set according to a policy. A subset of the weighted nodes is clustered according to the data points parameter. A cluster comprises nodes having a content access history similarity greater than a threshold similarity. A structured representation of a natural language document is positioned at a node within the cluster, the positioning determined by evaluating a similarity between the structured representation and a content access history of the node.Type: ApplicationFiled: February 19, 2021Publication date: August 25, 2022Applicant: International Business Machines CorporatlionInventors: Craig M. Trim, Mary Rudden, Anthony Stevens, Martin G. Keen
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Patent number: 11321638Abstract: A machine learning model can be depicted as a graph. After identifying a familiarity level of a user, the graph of the machine learning model can be customized. The customization is based on the familiarity level of the user. The customized graph of the machine learning model is displayed to the user.Type: GrantFiled: March 16, 2020Date of Patent: May 3, 2022Assignee: Kyndryl, Inc.Inventors: Mary Rudden, Craig M. Trim, Shikhar Kwatra, Stacey Heeley Ronaghan, William G. Dusch
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Publication number: 20220004967Abstract: A method of analyzing one or more asset repositories to determine a developer's competency and ability to collaborate in a team environment. The method includes obtaining metadata artifacts as documents from one or more asset repositories. The documents are represented using a tree structure that has nodes to form a knowledge graph that is suitable for input vectorization. Each node is configured in the tree structure to represent a content region within the one or more documents, with a root node representing the entire document and each node representing an aggregation of all its children nodes. One or more computing devices are used to receive an input vector that includes a set of descriptive statistics about data in asset repositories and a vectorized form of one or more concepts. The developer's competency and ability to collaborate in a team environment is automatically estimated using output values of a trained neural network.Type: ApplicationFiled: July 1, 2020Publication date: January 6, 2022Applicant: International Business Machines CorporationInventors: Craig M. Trim, Mary Rudden, Leo Kluger, Aman Buttan
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Publication number: 20220005368Abstract: A method, a structure, and a computer system for upskill management is disclosed. The exemplary embodiments may include collecting data relating to a user experiencing content and extracting one or more features from the data. In addition, the exemplary embodiments may include applying a model to the one or more features and identifying a learning style of the user based on the applied model.Type: ApplicationFiled: July 1, 2020Publication date: January 6, 2022Inventors: Craig M. Trim, Mary Rudden, Jeremy R. Fox, Nadiya Kochura, Fang Lu
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Publication number: 20210406298Abstract: A computer-implemented method for generating a description of a target skill set using domain specific language, a computer program product, and a system. Embodiments may comprise, on a processor, ingesting a data set related to the target skill from a data store, semantically analyzing the data set to generate a skill ontology, generating a hyperplane to separate one or more priority skills from among the plurality of related skills, generating a description for the target skill from the one or more priority skills, and presenting the generated description to a user. The skill ontology may include relationships between the target skill and a plurality of related skills.Type: ApplicationFiled: June 28, 2020Publication date: December 30, 2021Inventors: Mary Rudden, Craig M. Trim, Leo Kluger, Abhishek Basu
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Publication number: 20210379492Abstract: By analyzing video, audio, and statistical data of a real-world activity, a real-world scenario is identified that is within a threshold similarity of the analyzed video, audio, and statistical data of the real-world activity. The real-world scenario is applied to a game application that uses the real-world activity as a data source, the applying comprising adjusting a portion of a physics engine, the physics engine simulating a physical phenomenon portrayed in the game application.Type: ApplicationFiled: June 9, 2020Publication date: December 9, 2021Applicant: International Business Machines CorporationInventors: Aaron K. Baughman, Shikhar Kwatra, Mary Rudden, Gray Franklin Cannon
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Publication number: 20210342963Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.Type: ApplicationFiled: April 30, 2020Publication date: November 4, 2021Applicant: International Business Machines CorporationInventors: Mary Rudden, Craig M. Trim, Martin G. Keen, John M. Ganci, JR., Hernan A. Cunico
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Publication number: 20210287133Abstract: A machine learning model can be depicted as a graph. After identifying a familiarity level of a user, the graph of the machine learning model can be customized. The customization is based on the familiarity level of the user. The customized graph of the machine learning model is displayed to the user.Type: ApplicationFiled: March 16, 2020Publication date: September 16, 2021Inventors: Mary Rudden, Craig M. Trim, Shikhar Kwatra, Stacey Heeley Ronaghan, William G. Dusch
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Publication number: 20210264808Abstract: A method, computer system, and computer program product for ad-hoc training injection are provided. The embodiment may include receiving a user learning plan. The embodiment may also include processing the received user learning plan by dividing content into smaller pieces. The embodiment may further include determining a current user mental state. The embodiment may also include determining an optimum time for a user to engage in the learning plan. The embodiment may further include presenting one of the smaller pieces at the determined optimum time.Type: ApplicationFiled: February 20, 2020Publication date: August 26, 2021Inventors: Mary Rudden, Craig M. Trim, Zachary A. Silverstein, Jeremy R. Fox
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Publication number: 20210209072Abstract: An embodiment includes identifying metadata attached to a first node of a graph, where the metadata satisfies an ontological condition. The embodiment also includes transforming the graph such that the transforming results in the graph having a new graph structure, where the transforming of the graph comprises removing the metadata from the first node and adding a second node representative of the metadata removed from the first node to the graph such that the second node is connected to the first node by a first edge.Type: ApplicationFiled: January 2, 2020Publication date: July 8, 2021Applicant: International Business Machines CorporationInventors: Craig M. Trim, Mary Rudden, Ahmed Nassar, William G. Dusch