Patents Assigned to GLOBAL ELMEAST INC.
  • Patent number: 11734611
    Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.
    Type: Grant
    Filed: June 20, 2022
    Date of Patent: August 22, 2023
    Assignee: GLOBAL ELMEAST INC.
    Inventors: Zaide Liu, Ken Zhang, Yue Guo
  • Patent number: 11610107
    Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.
    Type: Grant
    Filed: July 6, 2018
    Date of Patent: March 21, 2023
    Assignee: GLOBAL ELMEAST INC.
    Inventors: Manoj Prasanna Kumar, Ken Zhang
  • Patent number: 11386339
    Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: July 12, 2022
    Assignee: GLOBAL ELMEAST INC.
    Inventors: Zaide Liu, Ken Zhang, Yue Guo
  • Patent number: 10395169
    Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.
    Type: Grant
    Filed: July 6, 2018
    Date of Patent: August 27, 2019
    Assignee: GLOBAL ELMEAST INC.
    Inventors: Manoj Prasanna Kumar, Ken Zhang
  • Patent number: 10311058
    Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.
    Type: Grant
    Filed: July 6, 2018
    Date of Patent: June 4, 2019
    Assignee: GLOBAL ELMEAST INC.
    Inventor: Manoj Prasanna Kumar