Syntactic and semantic autocorrect learning

    公开(公告)号:US12153879B2

    公开(公告)日:2024-11-26

    申请号:US17659823

    申请日:2022-04-19

    Abstract: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.

    MODERNIZATION OF AN APPLICATION FOR RELATED IMAGE GENERATION

    公开(公告)号:US20220245000A1

    公开(公告)日:2022-08-04

    申请号:US17162069

    申请日:2021-01-29

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate modernization of an application are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines one or more relevant surrounding contexts for a raw entity. The computer executable components also can comprise a matching component that matches the one or more relevant surrounding contexts with one or more known surrounding contexts of one or more known entities. The computer executable components further can comprise a type identification component that identifies an entity type for the raw entity based on the matching of the one or more relevant surrounding contexts with the one or more known surrounding contexts.

    ARTIFICIAL INTELLIGENCE BASED APPLICATION MODERNIZATION ADVISORY

    公开(公告)号:US20220138617A1

    公开(公告)日:2022-05-05

    申请号:US17087663

    申请日:2020-11-03

    Abstract: Technology for applying artificial intelligence to decide when to, and/or when not to, send a consumer of a computer system a communication recommending that the computer system be revised to include a more recent version of at least one of the following: a hardware component (for example, microprocessor(s)) and/or a software component (for example, an updated version of an app). The computer system, that is subject to modernization, may be owned outright by the consumer, or it may be purchased as a service (for example, infrastructure as a service, software as a service, package of cloud services). Some embodiments focus on modernization recommendations specifically tailored to cloud orchestration software that deploys containers.

    GENERATION OF MICROSERVICES FROM A MONOLITHIC APPLICATION BASED ON RUNTIME TRACES

    公开(公告)号:US20220035732A1

    公开(公告)日:2022-02-03

    申请号:US17500299

    申请日:2021-10-13

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

    GENERATION OF MICROSERVICES FROM A MONOLITHIC APPLICATION BASED ON RUNTIME TRACES

    公开(公告)号:US20210334194A1

    公开(公告)日:2021-10-28

    申请号:US16855565

    申请日:2020-04-22

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

    AUTOMATED TRANSFORMATION OF APPLICATIONS TO A TARGET COMPUTING ENVIRONMENT

    公开(公告)号:US20210294600A1

    公开(公告)日:2021-09-23

    申请号:US16823649

    申请日:2020-03-19

    Abstract: A system can include a memory that stores computer-executable components and a processor, operably coupled to the memory, that can execute the computer-executable components stored in the memory. The computer-executable components can include a model generator component that can execute a search function on an application based on a set of application component topics to identify application components of the application that facilitate execution of the application. A configuration property extractor component can analyze the application based on the application components and can determine configuration properties associated with operating the application components. An application builder component can process the application components and the configuration properties and can generate instructions that facilitate execution of the application in a target computing environment.

    Contextual automation of information technology change services

    公开(公告)号:US11062088B2

    公开(公告)日:2021-07-13

    申请号:US15838827

    申请日:2017-12-12

    Abstract: Techniques facilitating causing a information technology change service action in response to a received instructive command are provided. In one example, a computer-implemented method can comprise receiving a command from a device, wherein an intent of the command relates to performing an information technology change service action. The computer-implemented method can also comprise determining the intent of the command and selecting a service from a federation of services based on the information indicative of the intent of the command. The computer-implemented method can further comprise ordering the service relative to another service of the federation of services based on a determined level of confidence that the service will facilitate performing the information technology change service action. Moreover, the computer-implemented method can comprise activating the service based on an order of the service relative to the other service and the information indicative of the intent of the command.

    UPDATING A CLINICAL TRIAL PARTICIPATION STATUS BASED ON A MEASURE OF TRUST DYNAMICS

    公开(公告)号:US20210118531A1

    公开(公告)日:2021-04-22

    申请号:US17134686

    申请日:2020-12-28

    Abstract: Techniques regarding autonomously updating a participation status of an entity with regards to a clinical trial are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise status component that can update a participation status of an entity regarding a clinical trial based on a trust disposition value. The trust disposition value can be determined using machine learning technology and can be indicative of an expected enrichment contribution associated with the participation status.

Patent Agency Ranking