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公开(公告)号:US20230388764A1
公开(公告)日:2023-11-30
申请号:US17752633
申请日:2022-05-24
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Manoop Talasila , Syed Anwar Aftab , Leimeng Shi , Mukesh Mantan
IPC: H04W4/80 , H04W4/02 , G06V20/13 , G06V20/10 , G06V10/764
CPC classification number: H04W4/80 , H04W4/023 , G06V20/13 , G06V20/176 , G06V10/764
Abstract: Aspects of the subject disclosure may include, for example, a device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: obtaining a list of a plurality of known cell sites, the list comprising for each known cell site of the plurality of known cell sites a respective set of known geospatial coordinates; obtaining for each set of known geospatial coordinates, a corresponding aerial image; applying each corresponding aerial image to an automated process to generate a model, the model being usable to determine whether a particular test aerial image depicts a cell site; obtaining from a database an identification of an asserted cell site, the identification of the asserted cell site comprising a set of asserted geospatial coordinates; obtaining for the set of asserted geospatial coordinates, a test aerial image; applying the test aerial image to the model to determine whether the test aerial image depicts the asserted cell site, resulting in a determination; and outputting the determination of whether the test aerial image depicts the asserted cell site. Other embodiments are disclosed.
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公开(公告)号:US20230209658A1
公开(公告)日:2023-06-29
申请号:US18177368
申请日:2023-03-02
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Syed Anwar Aftab , Manoop Talasila , Guy Jacobson , John F. Murray , Mazin E. Gilbert
CPC classification number: H04W88/182 , H04L5/0048 , H04W24/02 , H04W24/08 , H04W28/0289 , H04W56/0015
Abstract: Aspects of the subject disclosure may include, for example, receiving network-related information associated with a first RAN that includes a first RIC, obtaining, from an artificial intelligence (AI) model synchronization system associated with a second RAN, data relating to an AI model deployed by a second RIC of the second RAN, determining, based on the data relating to the AI model and the network-related information associated with the first RAN, that the AI model can be leveraged by the first RAN to improve network performance of the first RAN, performing synchronization with the AI model synchronization system to obtain the AI model, responsive to the determining that the AI model can be leveraged by the first RAN to improve the network performance of the first RAN, and causing the first RIC to deploy the AI model in the first RAN after the performing the synchronization. Other embodiments are disclosed.
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公开(公告)号:US11544617B2
公开(公告)日:2023-01-03
申请号:US15960265
申请日:2018-04-23
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Syed Anwar Aftab , Guy Jacobson , Reuben Klein , John Murray , Mazin Gilbert , Manoop Talasila , Kazi Farooqui
Abstract: A method may include a processing system having at least one processor for receiving a first machine learning model, the first machine learning model in a first format associated with a first development environment, adapting the first machine learning model to a containerized environment, validating the first machine learning model according to at least one validation criterion associated with a repository, and publishing the first machine learning model to the repository.
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公开(公告)号:US20220027969A1
公开(公告)日:2022-01-27
申请号:US17492797
申请日:2021-10-04
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Syed Anwar Aftab , Arthur Martella , Mazin E. Gilbert , John F. Murray , Rittwik Jana
IPC: G06Q30/06
Abstract: Concepts and technologies are disclosed herein for a virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor.
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公开(公告)号:US20210012353A1
公开(公告)日:2021-01-14
申请号:US17038050
申请日:2020-09-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Rittwik Jana , Thomas Kirk , Syed Anwar Aftab , John F. Murray , Mazin E. Gilbert , Shu Shi , Serban Jora , Avi Zahavi
IPC: G06Q30/00 , G06N20/00 , G06F9/50 , G06Q10/10 , G06F3/0481 , G06F3/0484
Abstract: A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.
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公开(公告)号:US10580013B2
公开(公告)日:2020-03-03
申请号:US16014423
申请日:2018-06-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Rittwik Jana , Thomas Kirk , Syed Anwar Aftab , John F. Murray , Mazin E. Gilbert , Shu Shi , Serban Jora , Avi Zahavi
IPC: G06F3/0481 , G06Q30/00 , G06N20/00 , G06F9/50 , G06Q10/10 , G06F3/0484
Abstract: A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.
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公开(公告)号:US20190325353A1
公开(公告)日:2019-10-24
申请号:US15960265
申请日:2018-04-23
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Syed Anwar Aftab , Guy Jacobson , Reuben Klein , John Murray , Mazin Gilbert , Manoop Talasila , Kazi Farooqui
Abstract: A method may include a processing system having at least one processor for receiving a first machine learning model, the first machine learning model in a first format associated with a first development environment, adapting the first machine learning model to a containerized environment, validating the first machine learning model according to at least one validation criterion associated with a repository, and publishing the first machine learning model to the repository.
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公开(公告)号:US10127587B2
公开(公告)日:2018-11-13
申请号:US14931997
申请日:2015-11-04
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Syed Anwar Aftab , Arthur Martella , Mazin E. Gilbert , John F. Murray , Rittwik Jana
Abstract: Concepts and technologies are disclosed herein for a virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor.
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公开(公告)号:US20170236128A1
公开(公告)日:2017-08-17
申请号:US15043521
申请日:2016-02-13
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Rittwik Jana , Thomas Kirk , Syed Anwar Aftab , John F. Murray , Mazin E. Gilbert , Shu Shi , Serban Jora , Avi Zahavi
IPC: G06Q30/00 , G06F3/0484 , G06N99/00 , G06F3/0481
CPC classification number: G06Q30/016 , G06F3/04817 , G06F3/04845 , G06F3/04847 , G06F9/5077 , G06N99/005 , G06Q10/10
Abstract: A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.
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公开(公告)号:US20170124614A1
公开(公告)日:2017-05-04
申请号:US14931997
申请日:2015-11-04
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor: Syed Anwar Aftab , Arthur Martella , Mazin E. Gilbert , John F. Murray , Rittwik Jana
IPC: G06Q30/06
CPC classification number: G06Q30/0609 , G06Q30/0611 , G06Q30/0621 , G06Q30/0631
Abstract: Concepts and technologies are disclosed herein for virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor
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