Patents by Inventor Mehdi Ghafourifar

Mehdi Ghafourifar 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).

  • Publication number: 20240346495
    Abstract: An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.
    Type: Application
    Filed: April 26, 2024
    Publication date: October 17, 2024
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Publication number: 20240281312
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The disclosed NLP IDS automatically selects valid (or potentially valid) API paths (e.g., sequence of API calls) to produce desired actions. Associated system actions and known API sequencing rules may then be used to process the incoming user command or query. A feedback loop is also disclosed to identify newly available APIs and success criteria for selected API paths. Discovery of API paths may be performed using predefined information, monitored information, programmatically determined interfaces, and programmatically tested interfaces.
    Type: Application
    Filed: February 27, 2024
    Publication date: August 22, 2024
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar, Brienne Ghafourifar
  • Patent number: 12067063
    Abstract: A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights with a diverse set of data objects that exists and not all objects contain explicit location information.
    Type: Grant
    Filed: December 27, 2022
    Date of Patent: August 20, 2024
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Brienne Ghafourifar, Mehdi Ghafourifar, Neil Achtman
  • Publication number: 20240241895
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be ‘search-based’ because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query—without having to actually parse the incoming user command or query from scratch.
    Type: Application
    Filed: January 24, 2024
    Publication date: July 18, 2024
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 12008559
    Abstract: An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: June 11, 2024
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 11948023
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The disclosed NLP IDS automatically selects valid (or potentially valid) API paths (e.g., sequence of API calls) to produce desired actions. Associated system actions and known API sequencing rules may then be used to process the incoming user command or query. A feedback loop is also disclosed to identify newly available APIs and success criteria for selected API paths. Discovery of API paths may be performed using predefined information, monitored information, programmatically determined interfaces, and programmatically tested interfaces.
    Type: Grant
    Filed: June 1, 2020
    Date of Patent: April 2, 2024
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar, Brienne Ghafourifar
  • Patent number: 11914625
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be ‘search-based’ because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query—without having to actually parse the incoming user command or query from scratch.
    Type: Grant
    Filed: December 30, 2022
    Date of Patent: February 27, 2024
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Publication number: 20240020305
    Abstract: In email and messaging systems, it's often difficult—and sometimes nearly impossible—to locate a particular URL link that was sent to you (or that you sent to someone else). This problem can become worse as time passes and it becomes more and more difficult to remember the time and/or context in which you sent or received the particular URL link. This disclosure relates to apparatuses, methods, and computer readable media to permit computing devices to utilize a single, integrated communications platform that may automatically index and archive message data (including “secondary message content,” such as: file attachments; URL links to other files and/or webpages embedded in the original message; and text and/or other media information located on the webpages that are linked out to by the links embedded in the original message, etc.) from messages in a variety of communications formats and received over a variety of communications protocols.
    Type: Application
    Filed: July 12, 2023
    Publication date: January 18, 2024
    Inventors: Mehdi Ghafourifar, Brienne Ghafourifar
  • Publication number: 20240020323
    Abstract: This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).
    Type: Application
    Filed: July 20, 2023
    Publication date: January 18, 2024
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar, Brienne Ghafourifar
  • Patent number: 11831590
    Abstract: This disclosure relates generally to apparatus, methods, and computer readable media for composing communications for computing devices across multiple formats and multiple protocols. More particularly, but not by way of limitation, this disclosure relates to apparatus, methods, and computer readable media to permit computing devices, e.g., smartphones, tablets, laptops, and the like, to send communications in a number of pre-determined and/or ‘determined-on-the-fly’ optimal communications formats and/or protocols. Determinations of optimal delivery methods may be intelligently based on the sender individually or the relationship with the sender in the context of a group of recipients—including the format of the incoming communication, the preferred format of the recipient and/or sender, and an optimal format for a given communication message.
    Type: Grant
    Filed: October 14, 2022
    Date of Patent: November 28, 2023
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 11755629
    Abstract: This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: September 12, 2023
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar, Brienne Ghafourifar
  • Patent number: 11669554
    Abstract: This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called ‘zero-knowledge’ privacy systems (i.e., systems where the server has ‘zero-knowledge’ about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art ‘zero-knowledge’ privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information.
    Type: Grant
    Filed: October 14, 2022
    Date of Patent: June 6, 2023
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Philip Nathan Greenberg, Mehdi Ghafourifar
  • Publication number: 20230147742
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be ‘search-based’ because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query—without having to actually parse the incoming user command or query from scratch.
    Type: Application
    Filed: December 30, 2022
    Publication date: May 11, 2023
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Publication number: 20230131789
    Abstract: A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights with a diverse set of data objects that exists and not all objects contain explicit location information.
    Type: Application
    Filed: December 27, 2022
    Publication date: April 27, 2023
    Inventors: Alston Ghafourifar, Brienne Ghafourifar, Mehdi Ghafourifar, Neil Achtman
  • Patent number: 11573990
    Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be ‘search-based’ because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query—without having to actually parse the incoming user command or query from scratch.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: February 7, 2023
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 11537676
    Abstract: A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights to a given system or user wherein a diverse set of data objects exists and not all objects contain explicit location information.
    Type: Grant
    Filed: June 1, 2020
    Date of Patent: December 27, 2022
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Brienne Ghafourifar, Mehdi Ghafourifar, Neil Achtman
  • Patent number: 11496426
    Abstract: This disclosure relates generally to apparatus, methods, and computer readable media for composing communications for computing devices across multiple formats and multiple protocols. More particularly, but not by way of limitation, this disclosure relates to apparatus, methods, and computer readable media to permit computing devices, e.g., smartphones, tablets, laptops, and the like, to send communications in a number of pre-determined and/or ‘determined-on-the-fly’ optimal communications formats and/or protocols. Determinations of optimal delivery methods may be intelligently based on the sender individually or the relationship with the sender in the context of a group of recipients—including the format of the incoming communication, the preferred format of the recipient and/or sender, and an optimal format for a given communication message.
    Type: Grant
    Filed: June 4, 2020
    Date of Patent: November 8, 2022
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 11494421
    Abstract: This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called ‘zero-knowledge’ privacy systems (i.e., systems where the server has ‘zero-knowledge’ about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art ‘zero-knowledge’ privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: November 8, 2022
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Philip Nathan Greenberg, Mehdi Ghafourifar
  • Patent number: 11367068
    Abstract: An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: June 21, 2022
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Mehdi Ghafourifar
  • Patent number: 11366839
    Abstract: This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called ‘zero-knowledge’ privacy systems (i.e., systems where the server has ‘zero-knowledge’ about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art ‘zero-knowledge’ privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: June 21, 2022
    Assignee: Entefy Inc.
    Inventors: Alston Ghafourifar, Philip Nathan Greenberg, Mehdi Ghafourifar