Patents by Inventor Varun Puri

Varun Puri 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: 11973534
    Abstract: A method of operating a communication network includes training a neural network and implementing the neural network to determine link availability. Training the neural network includes receiving first images and signal visibility data for first locations for one or more first nodes in the communication network, generating training data based on the first images and the signal visibility data, and training the neural network using the training data to output an attenuation category related to attenuation rate of a link based on a training image and a timestamp for the training image. Implementing the neural network includes receiving second images for second locations for one or more second nodes in the communication network, determining link availability based on the second images and outputs from the neural network, and operating the communication network based on the link availability.
    Type: Grant
    Filed: October 28, 2021
    Date of Patent: April 30, 2024
    Assignee: X Development LLC
    Inventors: Varun Puri, Ozgun Bursalioglu Yilmaz
  • Publication number: 20230342966
    Abstract: The disclosed communication skills training tool helps people position themselves in a communication environment. The communication environment can be a live communication, such as a public speaking event, or can be a virtual event, such as a video conference meeting. The communication skills training tool evaluates a user position and provides feedback regarding a user position to help the user adjust when needed.
    Type: Application
    Filed: April 21, 2022
    Publication date: October 26, 2023
    Inventors: Esha Joshi, Varun Puri, David H. Lanman
  • Publication number: 20230317064
    Abstract: The disclosed communication skills training tool analyzes verbal and vocal content of data relating to a communication event. A user performs in a communication event and the words spoken and characteristics about them are analyzed by the disclosed systems and methods. The analyzed verbal and vocal content is used to develop improved or ideal communication for the user. Recommendation output is generated based on the compared or analyzed verbal or vocal content and on user or third party feedback.
    Type: Application
    Filed: April 1, 2022
    Publication date: October 5, 2023
    Inventors: Varun Puri, Esha Joshi
  • Publication number: 20230316949
    Abstract: The disclosed communication skills training tool analyzes visual or vocal content of data relating to a communication event. A user performs in a communication event and the words spoken are analyzed by the disclosed systems and methods. The analyzed visual or vocal content is compared to a communication standard or goal. Recommendation output is generated based on the compared or analyzed visual or vocal content.
    Type: Application
    Filed: April 1, 2022
    Publication date: October 5, 2023
    Inventors: Esha Joshi, Varun Puri
  • Publication number: 20230315984
    Abstract: The disclosed communication skills training tool analyzes verbal content of data relating to a communication event. A user performs in a communication event and the words spoken are analyzed by the disclosed systems and methods. The analyzed verbal content is compared to a communication standard or goal. Recommendation output is generated based on the compared or analyzed verbal content.
    Type: Application
    Filed: April 1, 2022
    Publication date: October 5, 2023
    Inventors: Varun Puri, Esha Joshi
  • Publication number: 20230135206
    Abstract: A method of operating a communication network includes training a neural network and implementing the neural network to determine link availability. Training the neural network includes receiving first images and signal visibility data for first locations for one or more first nodes in the communication network, generating training data based on the first images and the signal visibility data, and training the neural network using the training data to output an attenuation category related to attenuation rate of a link based on a training image and a timestamp for the training image. Implementing the neural network includes receiving second images for second locations for one or more second nodes in the communication network, determining link availability based on the second images and outputs from the neural network, and operating the communication network based on the link availability.
    Type: Application
    Filed: October 28, 2021
    Publication date: May 4, 2023
    Applicant: X Development LLC
    Inventors: Varun Puri, Ozgun Bursalioglu Yilmaz