Patents by Inventor Adam Chow
Adam Chow 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: 11943263Abstract: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.Type: GrantFiled: June 2, 2022Date of Patent: March 26, 2024Assignee: VMware, Inc.Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Patent number: 11940954Abstract: Methods, non-transitory machine readable media, and computing devices that ensure correctness of file system analytics are disclosed. With this technology, a first generation number for a volume is incremented in response to a modification of a rule set that defines properties of objects of a file system associated with the volume. A determination is made when a second generation number in a first inode for a first one of the objects matches the first generation number. The first inode is identified based on a traversal of a directory tree associated with the file system. The modified rule set is applied to the properties for the first one of the objects to obtain values, when the second generation number fails to match the first generation number. Analytics data is output after the traversal has completed. The analytics data is generated in response to a query and is based on the values.Type: GrantFiled: January 6, 2023Date of Patent: March 26, 2024Assignee: NETAPP, INC.Inventors: Richard Jernigan, Xin Wang, Subramanian Natarajan, Richard Chow, Adam Ciapponi, Brad Lisson, Dave Rose
-
Patent number: 11936516Abstract: Systems and methods are described for providing recommendations for a user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.Type: GrantFiled: June 2, 2022Date of Patent: March 19, 2024Assignee: VMware, Inc.Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Patent number: 11909784Abstract: Disclosed are various approaches for performing automated actions in a conferencing service. Distractions can be detected and users can be muted. Breakout rooms can be suggested to attendees based upon the user's identity. Additionally, event summaries and recaps can be generated for users who are late-arriving or who depart and return to the event.Type: GrantFiled: November 9, 2021Date of Patent: February 20, 2024Assignee: VMware, Inc.Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Publication number: 20230412887Abstract: Disclosed are various examples for to generating personalized user experiences in the form of short-form videos that summarize informational topics that are selected to present to a user according at least one of a user context or a user interest. As the informational topics are identified for a given user, the informational topics can be applied as inputs to a recommendation model that is trained to recommend one or more of the topics to summarize and present to a user in visual form based on at least one of the user context or the user interest. Once a topic is recommended by the recommendation model, a video or other type of visual content can be automatically generated and presented to a user to allow the user to consume the information in the summarized form.Type: ApplicationFiled: May 21, 2022Publication date: December 21, 2023Inventors: Adam Chow, Ravish Chawla, Rohit Pradeep Shetty
-
Publication number: 20230401497Abstract: Disclosed herein are examples of systems and methods for recommending events using machine learning. A first recommendation can be generated based at least in part on at least one user parameter associated with a user. The first recommendation can comprise a first event. The first recommendation can be provided to a client device associated with the user, and a user response to the recommendation can be received from the client device. A second recommendation can be generated based at least in part on the user response and the at least one user parameter, wherein the second recommendation comprises a second event. The second recommendation can be provided to the client device.Type: ApplicationFiled: August 12, 2022Publication date: December 14, 2023Inventors: RAVISH CHAWLA, Rohit Pradeep Shetty, Adam Chow
-
Publication number: 20230396487Abstract: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.Type: ApplicationFiled: June 2, 2022Publication date: December 7, 2023Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Publication number: 20230396660Abstract: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.Type: ApplicationFiled: June 2, 2022Publication date: December 7, 2023Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Patent number: 11783819Abstract: Disclosed are various approaches for generating a text transcript of a soundtrack. The soundtrack can correspond to an event in a conferencing service. Language models can be trained on data that is specific to organizations, users within the organization, and metadata associated with an agenda for the event. The metadata can include texts, attachments, and other data associated with the event. The language models can be arranged into a convolutional neural network and output a text transcript. The text transcript can be used to retrain the language models for subsequent use.Type: GrantFiled: July 2, 2021Date of Patent: October 10, 2023Assignee: VMware, INC.Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Patent number: 11733844Abstract: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.Type: GrantFiled: May 3, 2022Date of Patent: August 22, 2023Assignee: VMware, Inc.Inventors: Mayank Kulkarni, Adam Chow
-
Patent number: 11736454Abstract: Systems and methods are described for securing confidential content in a virtual meeting. In an example, a host can create a meeting agenda that identifies attendees and access restrictions for the meeting. A server can generate encryption keys corresponding to different confidentiality levels of content identified in the agenda. The encryption keys can be provided to user devices of the attendees based on the access permissions of the attendees. As the virtual meeting takes place, the server can encrypt confidential portions of the content stream for the meeting using the encryption keys. In an example, the server can also apply a machine learning algorithm to identify any confidential content in the content stream not previously identified. The server can encrypt additional confidential content where appropriate using encryption keys corresponding to the confidentiality level of the content.Type: GrantFiled: May 21, 2021Date of Patent: August 22, 2023Assignee: VMware, Inc.Inventors: Ravish Chawla, Rohit Pradeep Shetty, Adam Chow
-
Publication number: 20230177057Abstract: Disclosed are various embodiments for generating a list of predicted contacts that can be provided to a client device. The predicted contacts can be generated based upon an analysis of user interaction data. The predicted contacts can be made available to a phone application or messaging application on a client device so that contact information can be displayed in response to an incoming call or a message.Type: ApplicationFiled: December 2, 2021Publication date: June 8, 2023Inventors: Adam Chow, Ravish Chawla, Rohit Pradeep Shetty, Max Blinder
-
Publication number: 20230171210Abstract: Disclosed herein are examples of systems and methods for formatting electronic messages using machine learning. An electronic message can be obtained, and a processed message can be generated based at least in part on the electronic message. At least one attribute for the processed message can be determined. A formatting specification can be generated based at least in part on the at least one attribute. A reformatted message can be generated based at least in part on the formatting specification.Type: ApplicationFiled: February 2, 2022Publication date: June 1, 2023Inventors: ROHIT PRADEEP SHETTY, Ravish CHAWLA, Adam CHOW
-
Publication number: 20230033595Abstract: Disclosed are various approaches for performing automated actions in a conferencing service. Distractions can be detected and users can be muted. Breakout rooms can be suggested to attendees based upon the user's identity. Additionally, event summaries and recaps can be generated for users who are late-arriving or who depart and return to the event.Type: ApplicationFiled: November 9, 2021Publication date: February 2, 2023Inventors: ROHIT PRADEEP SHETTY, RAVISH CHAWLA, ADAM CHOW
-
Publication number: 20230005472Abstract: Disclosed are various approaches for generating a text transcript of a soundtrack. The soundtrack can correspond to an event in a conferencing service. Language models can be trained on data that is specific to organizations, users within the organization, and metadata associated with an agenda for the event. The metadata can include texts, attachments, and other data associated with the event. The language models can be arranged into a convolutional neural network and output a text transcript. The text transcript can be used to retrain the language models for subsequent use.Type: ApplicationFiled: July 2, 2021Publication date: January 5, 2023Inventors: Rohit Pradeep Shetty, Ravish Chawla, Adam Chow
-
Publication number: 20220377056Abstract: Systems and methods are described for securing confidential content in a virtual meeting. In an example, a host can create a meeting agenda that identifies attendees and access restrictions for the meeting. A server can generate encryption keys corresponding to different confidentiality levels of content identified in the agenda. The encryption keys can be provided to user devices of the attendees based on the access permissions of the attendees. As the virtual meeting takes place, the server can encrypt confidential portions of the content stream for the meeting using the encryption keys. In an example, the server can also apply a machine learning algorithm to identify any confidential content in the content stream not previously identified. The server can encrypt additional confidential content where appropriate using encryption keys corresponding to the confidentiality level of the content.Type: ApplicationFiled: May 21, 2021Publication date: November 24, 2022Inventors: Ravish Chawla, Rohit Pradeep Shetty, Adam Chow
-
Publication number: 20220261137Abstract: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.Type: ApplicationFiled: May 3, 2022Publication date: August 18, 2022Inventors: Mayank Kulkarni, Adam Chow
-
Publication number: 20220215351Abstract: Examples described herein include systems and methods for scheduling tasks based on emails intended for a user. An email application, agent, or server can identify a task by parsing an unread email intended for a user. Then a machine learning model specific to that user can be applied to the task and task list information including at least one open time slot. The machine learning model can be previously trained based on timing of prior tasks performed by the user. Based on an output from the model, the task can be scheduled at a first time within the time slot and displayed in a task list on a user device. When the user completes the task, the machine learning model can be updated based on a second time in which the task is completed relative to the first time.Type: ApplicationFiled: January 5, 2021Publication date: July 7, 2022Inventors: Adam Chow, Ravish Chawla
-
Patent number: 11340767Abstract: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.Type: GrantFiled: June 10, 2021Date of Patent: May 24, 2022Assignee: VMware, Inc.Inventors: Mayank Kulkarni, Adam Chow
-
Publication number: 20210294486Abstract: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.Type: ApplicationFiled: June 10, 2021Publication date: September 23, 2021Inventors: Mayank Kulkarni, Adam Chow