Patents by Inventor Devin Mancuso

Devin Mancuso 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).

  • Patent number: 11275630
    Abstract: This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task.
    Type: Grant
    Filed: August 5, 2020
    Date of Patent: March 15, 2022
    Assignee: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20210352348
    Abstract: Methods, systems, and media for object grouping and manipulation in immersive environments are provided.
    Type: Application
    Filed: May 22, 2019
    Publication date: November 11, 2021
    Inventors: Bryce Gibson Reid, Michael Kent, Devin Mancuso
  • Publication number: 20210208908
    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
    Type: Application
    Filed: March 4, 2021
    Publication date: July 8, 2021
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Patent number: 10970096
    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: April 6, 2021
    Assignee: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20210004247
    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
    Type: Application
    Filed: September 21, 2020
    Publication date: January 7, 2021
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Patent number: 10846109
    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: November 24, 2020
    Assignee: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20200364099
    Abstract: This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task.
    Type: Application
    Filed: August 5, 2020
    Publication date: November 19, 2020
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Patent number: 10783013
    Abstract: This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: September 22, 2020
    Assignee: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20190188322
    Abstract: This document describes techniques and devices for a refined search with machine learning. These techniques improve computer-aided searches through enabling selection of search criteria used in a prior search and providing a refined search result based on that selection. Furthermore, a machine-learning component of a search engine can be altered to improve future search results based on the selection and an indication of the desirability of the refined search result.
    Type: Application
    Filed: June 13, 2018
    Publication date: June 20, 2019
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20190188059
    Abstract: This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task.
    Type: Application
    Filed: August 24, 2018
    Publication date: June 20, 2019
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Publication number: 20190188013
    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
    Type: Application
    Filed: May 8, 2018
    Publication date: June 20, 2019
    Applicant: Google LLC
    Inventors: Golden Gopal Krishna, Carl Magnus Borg, Miroslav Bojic, Henry Owen Newton-Dunn, Jacob M. Klinker, Mindy Pereira, Devin Mancuso, Daniel June Hyung Park, Lily Sin
  • Patent number: D826250
    Type: Grant
    Filed: August 14, 2017
    Date of Patent: August 21, 2018
    Assignee: Google LLC
    Inventors: Devin Mancuso, Monica Lenart, Jonathan Diorio, Grant Marshall, Julien Jacquet, Dooyum Malu, Nikhil Siva Subash, Nikhil Bakshi
  • Patent number: D830401
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: October 9, 2018
    Assignee: Google LLC
    Inventors: Devin Mancuso, Brian Williams, Sugeeti Kochhar, James Shu, Benjamin Kawaichi, Jan Blom, Doris Neubauer
  • Patent number: D836662
    Type: Grant
    Filed: June 27, 2017
    Date of Patent: December 25, 2018
    Assignee: Google LLC
    Inventors: Devin Mancuso, Brian Williams, Sugeeti Kochhar, James Shu, Benjamin Kawaichi, Doris Neubauer
  • Patent number: D845322
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: April 9, 2019
    Assignee: Google LLC
    Inventors: Devin Mancuso, Monica Lenart, Jonathan Diorio, Grant Marshall, Julien Jacquet, Dooyum Malu, Nikhil Siva Subash, Nikhil Bakshi
  • Patent number: D847152
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: April 30, 2019
    Assignee: Google LLC
    Inventors: Devin Mancuso, Brian Williams, Sugeeti Kochhar, James Shu, Benjamin Kawaichi, Doris Neubauer
  • Patent number: D863339
    Type: Grant
    Filed: August 13, 2018
    Date of Patent: October 15, 2019
    Assignee: Google LLC
    Inventors: Christopher Suter, Vanko Vankov, Monica Lenart, Devin Mancuso, Austin Lee
  • Patent number: D866586
    Type: Grant
    Filed: August 10, 2018
    Date of Patent: November 12, 2019
    Assignee: Google LLC
    Inventors: Christopher Suter, Vanko Vankov, Monica Lenart, Devin Mancuso, Austin Lee
  • Patent number: D894208
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: August 25, 2020
    Assignee: GOOGLE LLC
    Inventors: Devin Mancuso, Brian Williams, Sugeeti Kochhar, James Shu, Benjamin Kawaichi, Jan Blom, Doris Neubauer
  • Patent number: D899451
    Type: Grant
    Filed: February 7, 2019
    Date of Patent: October 20, 2020
    Assignee: GOOGLE LLC
    Inventors: Devin Mancuso, Monica Lenart, Jonathan Diorio, Grant Marshall, Julien Jacquet, Dooyum Malu, Nikhil Siva Subash, Nikhil Bakshi