Patents by Inventor Vishal Sood

Vishal Sood 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: 20240168750
    Abstract: There are provided systems and methods for a compute platform for machine leaning model roll-out. A service provider, such as an electronic transaction processor for digital transactions, may provide intelligent decision-making through decision services that execute machine learning models. When deploying or updating machine learning models in these engines and decision services, a model package may include multiple models, each of which may have an execution graph required for model execution. When models are tested from proper execution, the models may have non-performant compute items, such as model variables, that lead to improper execution and/or decision-making. A model deployer may determine and flag these compute items as non-performant and may cause these compute items to be skipped or excluded from execution. Further, the model deployer may utilize a pre-production computing environment to generate the execution graphs for the models prior to deployment or upgrading.
    Type: Application
    Filed: December 4, 2023
    Publication date: May 23, 2024
    Inventors: Sudhindra Murthy, Divakar Viswanathan, Vishal Sood
  • Patent number: 11928319
    Abstract: Methods, systems, and computer programs are presented for providing an interactive canvas tool to generate multimodal, personalized content. One method includes providing a user interface (UI) for a canvas tool to generate multimodal content. The canvas tool comprises a prompt panel, a variations panel, and a canvas configured to present items of several types, such as a text type and an image type. The method further includes receiving text input including a textual description with instruction for generating an item, where the canvas tool is configured to generate items from the several types. The method further includes providing the text input to a generative artificial intelligence (GAI) tool, and presenting one or more variations based on an output of the GAI tool. The method further includes detecting a selection of one of the variations in the variations panel, and adding the selected variation to the canvas in the UI.
    Type: Grant
    Filed: May 30, 2023
    Date of Patent: March 12, 2024
    Assignee: Typeface Inc.
    Inventors: Abhay Parasnis, Kang Chen, Hari Srinivasan, Jonathan Moreira, Vishal Sood
  • Patent number: 11922541
    Abstract: Methods, systems, and computer programs are presented for enhancing a machine-generated product image. One method includes an operation for receiving a request on a user interface (UI) to generate an image, where the request comprises a description of the image to be generated and identification of a product for inclusion in the image. The method further includes operations for generating, by a generative artificial intelligence (GAI) model, a first image based on the request, analyzing the first image to identify a presentation of the product in the first image, and selecting a product image from a database of product images based on the identification of the product. The method further includes replacing the presentation of the product in the first image with the selected product image to obtain a second image, and causing presentation in the UI of the second image.
    Type: Grant
    Filed: May 30, 2023
    Date of Patent: March 5, 2024
    Assignee: Typeface Inc.
    Inventors: Abhay Parasnis, Kang Chen, Hari Srinivasan, Jonathan Moreira, Vishal Sood
  • Patent number: 11868756
    Abstract: There are provided systems and methods for a compute platform for machine leaning model roll-out. A service provider, such as an electronic transaction processor for digital transactions, may provide intelligent decision-making through decision services that execute machine learning models. When deploying or updating machine learning models in these engines and decision services, a model package may include multiple models, each of which may have an execution graph required for model execution. When models are tested from proper execution, the models may have non-performant compute items, such as model variables, that lead to improper execution and/or decision-making. A model deployer may determine and flag these compute items as non-performant and may cause these compute items to be skipped or excluded from execution. Further, the model deployer may utilize a pre-production computing environment to generate the execution graphs for the models prior to deployment or upgrading.
    Type: Grant
    Filed: August 10, 2021
    Date of Patent: January 9, 2024
    Assignee: PAYPAL, INC.
    Inventors: Sudhindra Murthy, Divakar Viswanathan, Vishal Sood
  • Patent number: 11809688
    Abstract: Methods, systems, and computer programs are presented for providing a prompt tool with interactive entry. One method includes operations for providing a multimodal prompt tool for entering textual description of an item to be generated, and detecting an input that is one of a special character entered in the textual description or a mouse action requesting assistance. Furthermore, a menu is presented with options for the item to be generated, and a list of products, previously added to a data store, is obtained. Further, the method includes providing the list of products for selection; in response to a selection of a product from the list of products, including text associated with the selected product in the textual description; and detecting submittal of the textual description. Further, the textual description is entered as input to a generative artificial intelligence (GAI) tool, and causing presentation of items generated by the GAI tool.
    Type: Grant
    Filed: May 30, 2023
    Date of Patent: November 7, 2023
    Assignee: Typeface Inc.
    Inventors: Abhay Parasnis, Anish Pimpley, Kang Chen, Hari Srinivasan, Jonathan Moreira, Vishal Sood, Yue Ning
  • Patent number: 11785030
    Abstract: This application discusses identifying data processing timeouts in live risk analysis systems. A service provider, such as an electronic transaction processor, may provide a production computing environment that includes a risk analysis system having one or more risk models, which may be machine-learning based. These risk models may be utilized in order to determine whether incoming data processing requests are fraudulent. To test these risk models using production data traffic, an audit computing environment made of a set of machines that do not service production computing environment requests, but that utilize databases and data connections as are used by the production systems. The audit computing environment may thus mirror the risk models and functionality of the production computing environment without the drawbacks of a typical fully separate testing environment.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: October 10, 2023
    Assignee: PAYPAL, INC.
    Inventors: Vishal Sood, Divakar Viswanathan, Sheena Chawla, Sudhindra Murthy, Vidya Sagar Durga, Hong Fan
  • Publication number: 20230186636
    Abstract: An edge computing system is deployed at a physical location and receives an input from one or more image/video sensing mechanisms. The edge computing system executes artificial intelligence image/video processing modules on the received image/video streams and generates metrics by performing spatial analysis on the images/video stream. The metrics are provided to a multi-tenant service computing system where additional artificial intelligence (AI) modules are executed on the metrics to execute perception analytics. Client applications can then be run on the output of the AI modules in the multi-tenant service computing system.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 15, 2023
    Inventors: Andre LAMEGO, Suraj T. POOZHIYIL, Juliette Danielle WEISS, Vishal SOOD, Temoojin CHALASANI
  • Publication number: 20230049611
    Abstract: There are provided systems and methods for a compute platform for machine leaning model roll-out. A service provider, such as an electronic transaction processor for digital transactions, may provide intelligent decision-making through decision services that execute machine learning models. When deploying or updating machine learning models in these engines and decision services, a model package may include multiple models, each of which may have an execution graph required for model execution. When models are tested from proper execution, the models may have non-performant compute items, such as model variables, that lead to improper execution and/or decision-making. A model deployer may determine and flag these compute items as non-performant and may cause these compute items to be skipped or excluded from execution. Further, the model deployer may utilize a pre-production computing environment to generate the execution graphs for the models prior to deployment or upgrading.
    Type: Application
    Filed: August 10, 2021
    Publication date: February 16, 2023
    Inventors: Sudhindra Murthy, Divakar Viswanathan, Vishal Sood
  • Patent number: 11574478
    Abstract: An edge computing system is deployed at a physical location and receives an input from one or more image/video sensing mechanisms. The edge computing system executes artificial intelligence image/video processing modules on the received image/video streams and generates metrics by performing spatial analysis on the images/video stream. The metrics are provided to a multi-tenant service computing system where additional artificial intelligence (AI) modules are executed on the metrics to execute perception analytics. Client applications can then be run on the output of the AI modules in the multi-tenant service computing system.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: February 7, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Andre Lamego, Suraj T. Poozhiyil, Juliette Danielle Weiss, Vishal Sood, Temoojin Chalasani
  • Publication number: 20220417229
    Abstract: Techniques are disclosed for time constrained electronic request evaluation. A server system receives, from a computing device, a request submitted via an account, including a first set of characteristics associated with the request. The system executes a first machine-learning model to determine a first risk score for the request by inputting the first set of characteristics into the first model. The system generates an initial authentication decision for the request based on the first score and sends the decision to the device. The system executes a second, different machine-learning model to determine a second risk score for the request, by inputting the first set of characteristics and a second, different set of characteristics associated with the account into the second model. Based on the second score, the system determines a final authentication decision. The disclosed techniques may advantageously improve computer security and operations via identification of malicious electronic requests.
    Type: Application
    Filed: August 11, 2021
    Publication date: December 29, 2022
    Inventors: Vishal Sood, Yegya Narayanan Gopala Krishnan, Sudhindra Murthy, Vidya Sagar Durga, Chirag Gupta
  • Publication number: 20220321581
    Abstract: Systems, methods, and computer program products are directed to machine learning techniques that use a separate embedding layer. This can allow for continuous monitoring of a processing system based on events that are continuously generated. Various events may have corresponding feature data associated with at least one action relating to a processing system. Embedding vectors that correspond to the features are retrieved from an embedding layer that is hosted on a separate physical device or a separate computer system from a computer that hosts the machine learning system. The embedding vectors are processed though the machine learning model, which may then make a determination (e.g. whether or not a particular user action should be allowed). Generic embedding vectors additionally enable the use of a single remote embedding layer for multiple different machine learning models, such as event driven data models.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Inventors: Vishal SOOD, Sudhindra MURTHY, Ashwin Maruti HEGDE, Nitin S. SHARMA, Hong FAN, Grahame Andrew JASTREBSKI
  • Publication number: 20210406557
    Abstract: An edge computing system is deployed at a physical location and receives an input from one or more image/video sensing mechanisms. The edge computing system executes artificial intelligence image/video processing modules on the received image/video streams and generates metrics by performing spatial analysis on the images/video stream. The metrics are provided to a multi-tenant service computing system where additional artificial intelligence (AI) modules are executed on the metrics to execute perception analytics. Client applications can then be run on the output of the AI modules in the multi-tenant service computing system.
    Type: Application
    Filed: June 30, 2020
    Publication date: December 30, 2021
    Inventors: Andre LAMEGO, Suraj T. POOZHIYIL, Juliette Danielle WEISS, Vishal SOOD, Temoojin CHALASANI
  • Publication number: 20210400066
    Abstract: This application discusses identifying data processing timeouts in live risk analysis systems. A service provider, such as an electronic transaction processor, may provide a production computing environment that includes a risk analysis system having one or more risk models, which may be machine-learning based. These risk models may be utilized in order to determine whether incoming data processing requests are fraudulent. To test these risk models using production data traffic, an audit computing environment made of a set of machines that do not service production computing environment requests, but that utilize databases and data connections as are used by the production systems. The audit computing environment may thus mirror the risk models and functionality of the production computing environment without the drawbacks of a typical fully separate testing environment.
    Type: Application
    Filed: August 31, 2020
    Publication date: December 23, 2021
    Inventors: Vishal Sood, Divakar Viswanathan, Sheena Chawla, Sudhindra Murthy, Vidya Sagar Durga, Hong Fan
  • Patent number: 10693631
    Abstract: Described herein are various technologies pertaining to delivery of token-authenticated encrypted data. Content descriptor(s) (e.g., playlist(s)) can be modified to facilitate exchange of a token for a decryption key for browser(s) that do not provide logic to manage a flow of the token.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: June 23, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Douglas Charles Shimonek, Dawei Wei, Steven C. Peterson, Mingfei Yan, Ashish Chawla, Vishal Sood, Quintin Swayne Burns
  • Publication number: 20200118137
    Abstract: A transaction management service and method are disclosed that can streamline transaction tracking and budget management. Transactions may be pre-approved based on inheritance and/or context-based authorization. The system can integrate a payment method, transaction tracking service, and a budget allocation service, among other operations.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 16, 2020
    Inventors: Vishal Sood, Ioannis Georgiadis, Gopalakrishnan Hariharan, John K. Thomas
  • Patent number: 10257587
    Abstract: A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.
    Type: Grant
    Filed: August 22, 2016
    Date of Patent: April 9, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: John A. Bocharov, Geqiang (Sam) Zhang, Krishna Prakash Duggaraju, Lin Liu, Anirban Roy, Jack E. Freelander, Vishal Sood
  • Publication number: 20190089528
    Abstract: Described herein are various technologies pertaining to delivery of token-authenticated encrypted data. Content descriptor(s) (e.g., playlist(s)) can be modified to facilitate exchange of a token for a decryption key for browser(s) that do not provide logic to manage a flow of the token.
    Type: Application
    Filed: November 20, 2018
    Publication date: March 21, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Douglas Charles Shimonek, Dawei Wei, Steven C. Peterson, Mingfei Yan, Ashish Chawla, Vishal Sood, Quintin Swayne Burns
  • Patent number: 10135608
    Abstract: Described herein are various technologies pertaining to delivery of token-authenticated encrypted data. Content descriptor(s) (e.g., playlist(s)) can be modified to facilitate exchange of a token for a decryption key for browser(s) that do not provide logic to manage a flow of the token.
    Type: Grant
    Filed: December 5, 2017
    Date of Patent: November 20, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Douglas Charles Shimonek, Dawei Wei, Steven C. Peterson, Mingfei Yan, Ashish Chawla, Vishal Sood, Quintin Swayne Burns
  • Patent number: 10116724
    Abstract: A coordinated adaptive streaming system provides a level of intelligence between adaptive streaming heuristics applied to multiple multi-bitrate streams playing on a client computer at the same time. The system receives a media event that includes multiple multi-bitrate streams and plays two or more of the streams. Each stream registers with the coordinated adaptive streaming system so that the system is aware of each of the streams. The system receives a priority indication from each stream that indicates the priority of the stream relative to other streams associated with the media event. The system uses the received priority indications to make adaptive streaming decisions. Thus, the coordinated adaptive streaming system provides playback that more closely aligns with a user's priorities and provides a higher quality experience to a user viewing multiple concurrent media streams.
    Type: Grant
    Filed: February 15, 2016
    Date of Patent: October 30, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sam J. George, Shane C. Guillet, Sudheer Sirivara, Vishal Sood, Jack E. Freelander
  • Publication number: 20180109373
    Abstract: Described herein are various technologies pertaining to delivery of token-authenticated encrypted data. Content descriptor(s) (e.g., playlist(s)) can be modified to facilitate exchange of a token for a decryption key for browser(s) that do not provide logic to manage a flow of the token.
    Type: Application
    Filed: December 5, 2017
    Publication date: April 19, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Douglas Charles Shimonek, Dawei Wei, Steven C. Peterson, Mingfei Yan, Ashish Chawla, Vishal Sood, Quintin Swayne Burns