Abstract: Methods, computer-readable media, software, and apparatuses may receive, at a field vehicle, field data from one or more unmanned autonomous vehicles, where the field data may be indicative of an item for assessment. Edge-computing, based on machine learning techniques, may be performed at the field vehicle to identify one or more characteristics of the assessment, and a projected cost may be determined. An estimate may be sent to a consumer. In some aspects, the projected costs may be based on local data related to a geographical location of the item. In another aspect, underwriting tasks may be performed at the field vehicle, and a quote may be sent to a consumer.

Abstract: A computing system includes storage that includes a customer database, a trained artificial intelligence (AI) component, and a disinformation processing module and processing circuitry configured to execute stored instructions to perform actions including providing customer information stored in the customer database as input to the trained AI component, receiving potential customer disinformation as output from the trained AI component, analyzing and modifying the potential customer disinformation using the disinformation processing module to yield customer disinformation, and providing a portion of the customer disinformation to an untrusted client device, a malicious website, a third party service, or any combination thereof.

Abstract: A speed control system for an electric drive motor of a self-propelled machine can include a switch assembly, speed lever, potentiometer, actuator lever, cable, and controller. The switch assembly can select a requested maximum speed from a plurality of predetermined maximum travel speeds, and can output a maximum speed signal that is indicative of the requested maximum speed. The speed lever can be movable to any of a plurality of travel speeds, including a zero speed. The potentiometer can be configured to output a requested speed signal that is indicative of the requested travel speed. The controller can be configured to output a motor speed signal to the electric drive motor, the motor speed signal is based on the maximum speed signal and the requested speed signal and causes the electric drive motor to operate at an output speed that corresponds to the motor speed signal.

Abstract: A computing system is configured to trigger an assessment for an autonomous driving system of an autonomous vehicle and receive driving data associated with the autonomous driving system. The driving data includes driving response data measured by one or more sensors employed on the autonomous vehicle during the assessment. The computing system is also configured to use machine learning to analyze the driving data through a driving performance analysis for identifying attributes of the autonomous driving system based on the driving data. The computing system is further configured to determine characteristics of the autonomous driving system using the machine learning based on the driving performance analysis and generate a risk profile that includes the identified attributes and the determined characteristics.

Abstract: A system and method include receiving, by a security controller of a system-on-chip and from a controller of the system-on-chip, an indication that a debugger computing device is connected to a debug port of the system-on-chip. A user debug authorization key and a user debug profile are received and verified by the security controller. The user debug profile identifies a set of requested resources. A configuration of the system-on-chip is modified to allow the debugger computing device to access resources of the set of requested resources.

Abstract: A vertical motion battery latching mechanism for a power equipment having a removable battery can include a central lever, a latch button and a vertically pushed button. The central lever can be configured to rotate about an axis. The latch button can be vertically movable by rotation of the central lever and configured to selectively secure and release the battery with respect to the power equipment. The latch button can be biased toward securing the battery onto the power equipment. The vertically pushed button can rotate about a second axis different from the first axis and be configured to contact the central lever to rotate the central lever about the first axis and release the battery from the power equipment by moving the latch button vertically.

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: A method and system of automatically protecting sensitive information. The system identifies whether sensitive information is being provided in a file by a user at an application. The application will block the submission of documents that include sensitive information or are of low quality. If sensitive information is identified, the application will perform an automated redaction of the selected portions of the file in order to remove the sensitive information before submission to a remote electronic repository.

Abstract: A method employs processing circuitry for various steps. The steps include receiving, from a user device, authentication data in association with an online account of a number of online accounts, and locating, in a database system storing customer profiles corresponding the online accounts and based on the authentication data, a customer profile corresponding to the online account. The steps include determining a correspondence between the authentication data and reference authentication data in the customer profile, and locating authentication data in the customer profile based on determining the correspondence. The steps include locating, in the database system storing alias customer profiles corresponding to the customer profiles and based on the alias authentication data, an alias customer profile corresponding to the customer profile.

Abstract: A system and method for capturing and processing sensor data, such as aerial images of structures, to assess vehicular damage is disclosed. The system comprises a computing system used to obtain images of selected locations where large groups of vehicles were disposed during a natural or man-made disaster. The images are used to automatically determine a damage score for the vehicles. In addition, the imagery can be fed into a damage classifier that automatically classifies the degree of damage. The system and method may be used to quickly assess damage of vehicles in a disaster area and deploy resources to provide timely and swift assistance.

Abstract: Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving the first vehicle, requesting second data acquired by one or more responsive object sensors in a vicinity of the event, determining a causation of the event, generating a fault distribution, and transmitting the fault distribution to the computing device of the first subscriber.

Abstract: A system and method for protecting access to resources of an SoC among multiple owners. The SoC includes multiple master devices, each configured to conduct transactions with addressed ones of multiple slave devices via an interconnect, multiple access devices coupled to the interconnect and programmed to control access to each slave device, a secure memory that stores a hash value of a partitioning contract incorporating a list of resources available to each of the owners, and a security engine. The security engine is configured to allow installation and execution of code provided by each of the owners only when the code is authenticated by the stored partitioning contract hash value. The security engine is also configured to program the access devices according to the partitioning contract. An encrypted cohort owner tag may be stored for each owner and used to generate cohort authentication tags used to authenticate cohort definitions.

Abstract: A computing system is configured to trigger a safety driver assessment and obtain driving conditions for a route using a variety of sensors and databases. The computing system is also configured to receive driver information and determine a safety driving test based on the driver information and driving conditions. During the safety driving test, the computing system is configured to measure, via the variety of sensors of an autonomous vehicle, driving responses of a driver operating the autonomous vehicle. Based on measured driving responses, the computing system is configured to determine a safety driving score and save the safety driving score in a safety test record.

Abstract: 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.

Abstract: Methods, computer-readable media, software, and apparatuses may determine that an expected vehicle demand will exceed an expected supply in a vehicle sharing application. In order to meet the demand, one or more users may be contacted with a request to provide a vehicle for sharing on a particular date. A machine learning algorithm may be used in determining that the expected vehicle demand will exceed the expected vehicle supply.

Abstract: Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may initiate an onboarding process with a mobile device. The computing platform may receive one or more onboarding verification inputs indicative of a user identity. The computing platform may send commands directing a mitigation analysis and output generation platform to analyze the onboarding verification inputs. The computing platform may receive a mitigation output indicating a degree of correlation between the one or more received onboarding verification inputs and expected onboarding verification inputs.

Abstract: Methods, computer-readable media, systems, and/or apparatuses for evaluating movement data to identify a user as a driver or non-driver passenger are provided. In some examples, movement data may be received from a mobile device of a user. The movement data may include sensor data including location data, such as global positioning system (GPS) data, accelerometer and/or gyroscope data, and the like. Additional data may be retrieved from one or more other sources. For instance, additional data such as usage of applications on the mobile device, public transportation schedules and routes, image data, vehicle operation data, and the like, may be received and analyzed with the movement data to determine whether the user of the mobile device was a driver or non-driver passenger of the vehicle. Based on the determination, the data may be deleted in some examples or may be further processed to generate one or more outputs.

Abstract: 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.

Abstract: Methods, computer-readable media, systems and apparatuses for determining a blind corner navigational score based on real-time or near real-time navigational analysis using sensor data, digital image data, and a map database are discussed. In some arrangements, detection of a blind sensor may be performing using sensor data, digital image data, and navigational data from a map database system. In at least some arrangements, a warning signal or a vehicle control signal may be transmitted to a vehicle in response to a determination that the blind corner navigational score is above a threshold. In at least some arrangements, route correction and/or route modification based on an upcoming blind corner may be performed if a blind corner navigational score is above a threshold.