Abstract: The present disclosure is related to a system including a communication component and a processor coupled to the communication component. The processor may collect user input data indicative of skills for providing vehicle towing services from users, receive driving behavior data associated with each user, build a model indicative of an expected location of each user based on the user input data and the driving behavior data, receive a request for a vehicle towing service associated with a vehicle from a computing device, identify a user for performing the vehicle towing service based on the driving behavior data, send a notification to an additional computing device to request a confirmation that the user agrees to perform the vehicle towing service, send a location of the vehicle to the additional computing device, and transfer a digital key to the additional computing device to access the vehicle.

Abstract: Implementations generate personalized property recommendations based on experiential data obtained via artificial reality systems and machine learning predictions that correlate user preferences to these properties. A user can be one or more persons interested in purchasing a property, such as a new home. A property buying workflow often includes defining a set of preferences for a desired property and comparing properties for sale with these defined preferences. However, in a conventional buying workflow, defining preferences and doing the comparison is left up to the user and/or the user's real estate agent. Users can often feel overwhelmed by the information, in particular users that do not have previous buying experience. Implementations can integrate machine learning and artificial reality systems into the property buying experience to mitigate the information overload problem and provide meaningful recommendations to the user, such as a ranking of properties that comply with user's preferences.

Abstract: Systems and method described herein include a member assessment and improvement system configured to receive data relating to personal activity of one or more members of an organization; to assess performance of the personal activity of the one or more members based at least in part on the data relating to the personal activity; to generate game-related data based at least in part on the performance of the personal activity of the one or more members; and to transmit one or more command signals to one or more game applications being executed by one or more electronic devices associated with the one or more members to display the game-related data via the one or more game applications.

Abstract: The present disclosure is directed toward an automated recommendation techniques. In an embodiment, the automated recommendation technique has steps that include accessing user data associated with a user account and identifying product data associated with one or more products, wherein the one or more products are associated with a user of the user account. Furthermore, the method includes determining a status of the one or more products. Additionally, the steps include pushing a recommendation to a user device based on the status of the one or more products.

Abstract: A system for neutralizing embers is disclosed. The system includes a laser turret with a sensor array and a laser emitter configured to dispense laser energy. The laser turret can also include a control system configured to move the laser emitter. The laser control system can receive information from the sensor array and sending signals to the control system to move the laser emitter. Using these features, the laser control system can select an incoming ember based on a thermal signature associated with the incoming ember, and the laser control system can issue commands to the control system to direct the laser emitter towards the incoming ember, and the laser emitter can direct laser energy at the incoming ember. The system can also include provisions to track an ember and determine if an ember has been depleted of fuel.

Abstract: The present disclosure is related to a roadside assistance system that may utilize crowdsourcing to collect and monitor user data, such as user input and user behavior, to build a machine learning model. In response to receiving a request for roadside assistance from a driver, the roadside assistance system may utilize the machine learning model to identify a suitable user who may provide the requested roadside assistance within a suitable time, and guide the identified suitable user to a location of the requesting driver to perform the requested roadside service. Furthermore, the roadside assistance system may direct suitable user to supply locations to pick up certain supplies for the requested roadside service. Additionally, the roadside assistance system may utilize crowdsourcing to provide rental vehicles to users.

Abstract: A method may include receiving, by a software application that may execute on a mobile device associated with an individual operating a vehicle, operational data associated with operation of the vehicle. The method may also include predicting, by the software application, one or more activities that the individual is expected to perform with respect to operation of the vehicle based at least in part on the operational data, and providing, by the software application via the mobile device, an indication of a recommendation to perform the one or more activities.

Abstract: The present disclosure is related to a system including a communication component and a processor coupled to the communication component. The processor may collect user input data indicative of skills for providing vehicle towing services from users, receive driving behavior data associated with each user, build a model indicative of an expected location of each user based on the user input data and the driving behavior data, receive a request for a vehicle towing service associated with a vehicle from a computing device, identify a user for performing the vehicle towing service based on the driving behavior data, send a notification to an additional computing device to request a confirmation that the user agrees to perform the vehicle towing service, send a location of the vehicle to the additional computing device, and transfer a digital key to the additional computing device to access the vehicle.

Abstract: A method may include receiving, by a monitoring system from a software application configured to execute on a mobile device, a performance rating associated with an activity performed by an individual with respect to usage of a vehicle operated by the individual, determining, by the monitoring system, one or more rewards to allocate to the individual for use in a gaming platform, and updating, by the monitoring system, a user profile associated with the individual in the gaming platform, wherein the updated user profile is configured to access to the rewards.