United Services Automobile Association (usaa)

Uipco, LLC

Ravi Durairaj

Nolan Serrao

Ruthie D Lyle

Mark Anthony Lopez

Gregory Brian Meyer

Sean Carl Mitchem

Nathan Lee Post

Ryan Thomas Russell

Stacy Callaway Huggar

Christopher M Russell

Victor Kwak

Mark Paxman Warnick

Eric David Schroeder

Oscar Roberto Tijerina

Ashley Raine Philbrick

Yevgeniy Viatcheslavovich Khmelev

Bharat Prasad

Justin Dax Haslam

Joel S Hartshorn

Elena Marie Carrasco

Sumita T Jonak

Deborah Janette Schulz

Donnette L Moncrief Brown

Janelle Denice Dziuk

Carlos J P Chavez

Jeanie Graciela Lopez

Quian Antony Jones

Donald Nathaniel Holloway, Iii

Will Kerns Maney, Jr

Justin M Jackson

Minya Liang

Carlos Jp Chavez

David Joaquin Harris

Christian A Williams

Donnette Moncrief Brown

Will Kerns Maney

Gregory B Yarbrough

David M Jones, Jr

Qunying Kou

William Daniel Farmer

Huihui Wu

Jon Daniel McEachron

Mitzi Ruiz

Theresa Marie Matowitz

Rachel Michelle Ballew

Brennen Michael Ricks

Marta Leigh Argumedo

Jeff Calusinski

Natalie Kay Helsen

Amber Nicole Sodikov

Sharonda Phillips

Vidya Nagarajan

Manfred Amann

Surender Kumar

Michael J Maciolek

Robert Wiseman Simpson

Snehal Desai

David Patrick Dixon

Oscar Guerra

Meredith Beveridge

Jennifer Hunt Erickson

Pooja Krishnaswamy

Justin R Nash

Timothy Frank Davison

Gideon B Luck

Robert Andrew Massie

Matthew Ryan Santacroce

Phillip E Marks

Roberto Virgillio Jolliffe

Luis Eduardo Santana

Ivan Ortiz

Christopher Edward Flores

Jo Anne Yau

Mounica Urity

Pradeep R Mangalagiri

Ahmad Ali Shaik

Chi-Hsuan Lai

Sean C Mitchem

David Michael Schlittler

The techniques provided herein may be used to reversibly anonymize data and to mitigate possible de-anonymization the data by third parties. Specifically, a reverse anonymity data sharing service is used to anonymize personal data by replacing confidential information found in the data with unique identifiers. A reverse anonymity data store is used to store the unique identifiers with the information they replaced such that the anonymization may be reversed if needed. Machine learning models are used to prevent traceback, using publicly available data sources, of the anonymized data to it's the individual who generated the data or whom the data is about.

System and methods for data anonymity trackback mitigation

A phone case includes a cold wallet that holds various cryptocurrencies. A method provides for operation of a smartphone placed in the phone case to interact with the cold wallet. The cold wallet can be incorporated into a system that includes secure storage, a battery, and communications hardware. The system has robust security features, including features that require surface to surface proximity. For example, the system may use wireless charging, which only operates with a limited range. The phone case can use the wireless charging system to send and receive authentication signals from the smartphone. Based on the authentication signals the phone case can power up and connect the secure storage to the rest of the system, thereby only providing secured access to the keys in the cold wallet. After use, the system disconnects the secure storage and the powers down to cold wallet, protecting the private keys.

Phone case with integrated cold wallet

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

A system and method for using an augmented intelligence guide system to assist users, customers, members, and other users of a service (for example, a financial service or an insurance service) in completing a task or process to improve the success rate of the accurate completion of the steps necessary to execute the task or process is described. The system includes a process detection module, an experience determination module, an assistance classification module, and a guidance engine.

System and method to enable augmented intelligence guided help

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

Disclosed herein is an environmental scanning tool that generates a digital model representing the surroundings of a user of an extended reality head-mounted display device. The environment is imaged in both a depth map and in visible light for some select objects of interest. The selected objects exist within the digital model at higher fidelity and resolution than the remaining portions of the model in order to manage the storage size of the digital model. In some cases, the objects of interest are selected, or their higher fidelity scans are directed, by a remote user. The digital model further includes time stamped updates of the environment such that users can view a state of the environment according to various timestamps.

Local physical environment modeling in extended reality environments

A system for determining an authenticity of an asset includes one or more hardware processors. The system also includes a non-transitory memory, the non-transitory memory storing instructions that, when executed by the one or hardware processors, causes the one or more hardware processors to perform actions. The actions include receiving an asset, wherein the asset includes a digital asset or a digital representation of a physical asset. The actions also include receiving an input related to the asset to assist in determining the authenticity of the asset. The actions further include utilizing an augmented intelligence module to analyze the asset and to determine the authenticity of the asset based on the analysis of the asset and the received input.

System and method for authenticity service

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 system and method for performing machine learning in a mobile computing device which is configured to be coupled with a cloud computing system is disclosed. The method may include activating, on the mobile computing device, a machine learning application, which accesses a local machine learning system including a local machine learning model, periodically updating the local machine learning system based upon updates for the local machine learning system received from a global machine learning system hosted by the cloud computing system, performing machine learning based on received training data, and periodically transmitting changes to the local machine learning system from the mobile computing device to the global machine learning system hosted by the cloud computing system.

Edge computing for machine learning

A fire prevention system for a building. The fire protection system has an inlet duct having an interior end and an exterior end. An air handler is disposed at the interior end of the inlet duct to provide air from outside the building to the air handler. A flame arrester is located at the exterior end of the inlet duct to prevent burning embers from entering the inlet duct. The fire protection system also includes an interior duct system for distributing air from the air handler through the building. Distribution vents in the interior duct system allow flow of air from the interior duct system to the interior of the building to raise the pressure in the building above the outside pressure. Exhaust vents to allow flow of air out of the building. Also, a method for fire prevention for a building exposed to a fire.

Fire prevention with positive pressure system in a building

A health data management method using non-fungible tokens may include receiving, via one processor, digital health data and encrypting or obscuring personal identifying information of the digital health data. The method may then involve using the digital health data with encrypted or obscured personal identifying information to generate a non-fungible token and providing the non-fungible tokens in a marketplace. The method may also involve accepting an offer from a purchaser for the non-fungible token via the marketplace and providing unobscured digital health data or an encryption key to the purchaser of the non-fungible token.

Non-fungible token transaction management systems and methods for digital health data

A non-fungible management system may generate non-fungible tokens based on credential data of a user. In one example, a non-fungible token can be generated responsive to receiving credential data for the user, whereby the credential data is received from a verified credentialing organization. Non-fungible tokens based on credential data can be held in a digital wallet of the user, used as a resume or record of achievement, and/or traded in a marketplace.

Non-fungible token transaction management systems and methods for user verification or credentialing

Implementations are disclosed to automatically evaluate, detect, or predict an event, and provide customized virtual assistance to a user based on the event. The implementations include a system capable of pulling data from a client device, detecting an event based on the pulled data, and pushing customized digital resources to the client device based on the detected event.

Systems and methods for automatic detection of an event and providing resources customized based on the event

Systems and methods for responding to latency in connected vehicles. Vehicles operating on or near the edge of networks are identified. Vehicle dependent nodes are identified. Latency is calculated between the vehicle and the dependent nodes. The latency is compared to one or more threshold values and a response is determined and/or executed.

Systems and methods to utilize edge computing to respond to latency in connected vehicles

A multi-factor authentication technique can use multiple smart devices to determine whether a person is authenticated by minimizing the extent to which the person is expected to interact with his or her smart devices. In an example multi-factor authentication method comprises performing a first determination, that a first mobile device is located within a wireless range of a device, obtaining a unique identifier from the first mobile device, sending, to a server, the unique identifier, receiving, from the server, information that indicates a first authentication technique and a second authentication technique, performing a second determination that the person is authenticated by successfully performing the first authentication technique with the first mobile device and by successfully performing the second authentication technique with the second mobile device, and performing a final authentication operation in response to performing the second determination.

Multi-factor authentication

Growing community of inventors

San Antonio, TX, United States of America

Ravi Durairaj