United Services Automobile Association (Usaa)

Will Kerns Maney, Jr

Ravi Durairaj

Nolan Serrao

Mark Paxman Warnick

Nathan Lee Post

Elena Marie Carrasco

Jeanie Graciela Lopez

Donald Nathaniel Holloway, Iii

Surender Kumar

Gregory David Hansen

Sumita T Jonak

Mark Anthony Lopez

Joel S Hartshorn

Steven Michael Bernstein

Keegan Patrick Hayes

Roberto Virgillio Jolliffe

Ivan Ortiz

William Preston Culbertson

David Michael Schlittler

Michael P Bueche, Jr

Ross Andrew Thiele

Christian A Williams

Dallin Clarence Wilcox

Lars Plougmann

Remington Luke Williams

Felix Gutierrez

Chris Clark

Joshua Hiram Gutierrez

A transactional method and system of incentivizing task performance using token-based exchange for electronic payment authentications. The system and method are configured to reward a person with electronic tokens for tasks that are performed and verified by the system. These tokens can then be exchanged by the user for completing purchases via online retailers or other electronic payment-based services. Verification can involve the use of natural language processing and image comparison algorithms to determine whether a particular task has been successfully completed.

System and method for incentivizing task performance using token-based authentication of electronic transactions

A risk analysis system is configured to collect and monitor sensor data associated with a user to generate an insurance policy or recommend products/services that may be better suited for the user based on the user's gameplay data, fitness data, streaming data, outdoor activity data, location data, etc. The risk analysis system is configured to correlate all the sensor data and control operations of devices to discourage behavior that may increase risk of an accident or other suitable insurance liabilities.

Tracking risk behavior profile and controlling devices based on gameplay data

A vehicle connected to an insurance provider includes: a sensor configured to collect sensor information about the vehicle; a control center connected to the sensor and configured receive the sensor information from the sensor, to detect an event using the sensor information, wherein the event includes a classification, and to transmit the sensor information and an indication of the event to the insurance provider; a claims processing module connected to the control center and configured to generate, upon detection of the event, a claim with the insurance provider using the sensor information; and an indicator configured to indicate a classification of the sensor information.

Auto filing of insurance claim via connected car

A transactional method and system of incentivizing task performance using token-based exchange for digital media access. The system and method are configured to reward a person with electronic tokens for tasks that are performed and verified by the system. These tokens can then be exchanged by the user for access to desired digital media. Verification can involve the use of natural language processing and image comparison algorithms to determine whether a particular task has been successfully completed.

System and method for incentivizing task performance using token-based digital media access

Systems and methods that can automatically and intelligently edit audio signals to correct issues with voices and background noise. Such features may be especially useful as more people decide to work remotely. With remote work, some employees may be multi-tasking, for example by dropping off and picking up their kids while in meetings. Background noise reduction is essential for these remote workers. Using the exemplary systems and methods, remote workers could participate in live calls and/or create recordings while going about their daily chores. In particular, these remote workers would not need to wait until they are back home or in a quieter environment for participating in calls and/or making recordings.

System and method for automatically editing voice signals

Systems and methods that can automatically generate synthetic videos depicting alternative scenarios that may be consistent with recorded video. Systems and methods leverage machine learning systems that can generate synthetic video information using autoencoders and generative adversarial networks that have been trained on previous video data. Systems and methods further include a scenario dashboard that allows users of the system to select recorded videos and other settings that serve as inputs, or constraints, on the synthetically generated videos.

System and method for generating and evaluating synthetic video scenarios

A user identification system includes one or more processors configured to receive a first indication of a vehicle identity of a vehicle at an entrance of a location and retrieve a user profile associated with the vehicle identity from a user profile database. The user profile includes one or more user identities of one or more users authorized to enter the location. The one or more processors are configured to receive a second indication of a current user identity of a current user positioned in the vehicle, determine that the current user identity corresponds to a particular user identity of the one or more user identities, and output a control signal indicative of instructions to enable access to the location in response to the current user identity corresponding to the particular user identity.

User identification system for occupants of a vehicle

A system and method facilitate interactive collaboration using an extended reality (XR) environment. The XR environment provides an electronic whiteboard to users of the XR environment. The XR environment provides an electronic notepad to the first user at a device of the first user. The XR environment receives a note of the electronic notepad from the first user, then receives an input to detach the note from the electronic notepad and to attach the note to the electronic whiteboard. Finally, the XR environment provides a view of the note on the electronic whiteboard to the second user.

Collaborative note sharing using extended reality

Growing community of inventors

New York City, NY, United States of America

Will Kerns Maney, Jr