United Services Automobile Association (usaa)

Carol Lyn Lawrence

Gregory Brian Meyer

Keegan Patrick Hayes

Yevgeniy Viatcheslavovich Khmelev

Arthur Quentin Smith

Michael J Maciolek

Nolan Serrao

Christopher M Russell

Courtney St Martin

David Joaquin Harris

Jeanie Graciela Lopez

Justin R Nash

Dustin Bowen Bitter

Theresa Marie Matowitz

John Andrew Weems

Timothy Benjamin Czerlinsky

Jennifer Marie Chandler-Bradley

Ivan Ortiz

Salvador Adrian Bretado

Gabrielle Diane Salazar

Pradeep R Mangalari

Aspects of the present disclosure are directed to a cognition analysis and response system that can A) identify and classify machine learning training data and use the training data to build a cognitive impairment machine learning model; B) identify cognitive impairments by applying the cognitive impairment machine learning model and performing a false positive/false negative analysis; and C) apply various automated adaptive measures for users with identified cognitive impairment. The cognition analysis and response system can generate training data by using an unsupervised training process and verifying results with validations of training items that have been pre-classified. The cognition analysis and response system can then iterate through each set of inputs paired with cognitive impairment classification, applying a machine learning model and updating the model based on a comparison of the model output to the cognitive impairment classification.

Automatic identification of, and responding to, cognition impairment

Overlapping functions called in robotic process automation scripts may be used to create new efficiencies in an IT infrastructure. For example, the overlaps may be used to identify code modification impact in the IT infrastructure, may be used to remediate duplication of coding efforts across silos in an organization, and may be merged to create new efficiencies in code/script storage and/or sustaining efforts.

Systems and methods for identifying overlaps via robotic process automation (rpa)

A safety deposit box facility that allows for 24/7 remote access by authorized personnel to their safety deposit boxes via an on-site robot. The facility includes safety deposit boxes that can be opened along one side by the robot, and on the other side by the authorized person. In some embodiments, the authorized person may request a remote access event in which they can view the contents of their safety deposit box via a camera associated with the robot, and/or request a secure delivery of one or more items disposed in their safety deposit box.

Remote access system for safety deposit boxes

A system and method for using gaming as a tool to determine optimum routes through areas that have experienced a disaster are provided. Due to the disaster, an area may have some destroyed roads and other infrastructure. In one embodiment, input data collected from people on the ground, drones, and other aerial vehicles can be used to generate a virtual simulation of the area. The virtual area may include renderings of destroyed roads and infrastructure. Once created, the virtual area may be uploaded to an online gaming environment where users can participate in online games that permit them to find the best routes through the virtual area between starting and destination points. Once optimal routes are found, the system may send these routes to navigation systems used by rescuers and other people in the area to help them navigate the disaster area.

Gaming to improve route guidance

Growing community of inventors

Fair Oaks Ranch, TX, United States of America

Carol Lyn Lawrence