Abstract: A method and system of providing users with session-specific layouts during access of an application based on contextual data. The system identifies contextual data for each application access session and associates the contextual data with a particular in-app activity. The in-app activity corresponds to a task that is typically performed by the first user when the specific contextual data is detected. The contextual data can include location data, time and date data, and device type data.

Abstract: Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.

Abstract: A vehicle window opacity system that includes a vehicle window system comprising a front windshield, side windows, and a rear window, a liquid crystal display system coupled to the vehicle window system, and a controller coupled to the liquid crystal display system. The controller is operable to control an opacity of a portion of the liquid crystal display system coupled to at least one side window relative to the front windshield to reduce and/or block light from passing through the at least one side window based on information regarding a light source.

Abstract: The disclosed wearable device systems include several features for alerting and guiding persons who are approaching or near to potentially hazardous or high-risk conditions in their nearby environment. Sensor data from wearable devices (also referred to herein as “wearables”) are used to determine the presence of various unsafe environmental conditions and phenomenon, including dangerous terrain or other unusual conditions. The wearable would be used to warn a person, for example via auditory or haptic-based feedback, if the person is about to encounter an unsafe condition. In particular, the proposed systems can be of great benefit to the visually impaired, those persons with physical disabilities, or persons otherwise vulnerable to particular environmental conditions.

Abstract: Disclosed are systems and methods for facilitating identification of risk across risk silos in an organization. Machine learning utilizes risk identification data from two or more silos to identify risk associated with electronic change requests provided to the system. Regulatory/compliance results are submitted to a blockchain for immutable recordation of compliance status.

Abstract: A vehicle adjustment system includes one or more processors configured to receive data from one or more sensors coupled to a vehicle that is in a stationary position. The one or more processors are also configured to analyze the data to determine whether an object is within a buffer zone surrounding the vehicle while the vehicle is in the stationary position. In response to determining that the object is within the buffer zone while the vehicle is in the stationary position, the one or more processors are configured to provide control signals to one or more driving components of the vehicle to reposition the vehicle to an alternate position.

Abstract: A system may include a processor. The processor may be configured to receive a first indication indicative of presence of a person arriving at a location associated with a scheduled service. The process may also be configured to determine whether the first indication corresponds to an expected arrival time of the scheduled service. Additionally, the processor may receive activity data in response to determining that the indication corresponds to the expected arrival time. Further, the processor may receive a second indication indicative that the person has completed the scheduled service. Further still, the processor may determine whether the scheduled service is completed based at least in part on the activity data. Even further, the processor may transmit a service confirmation to a computing device associated with a property owner of the location in response to determining that the scheduled service is completed.

Abstract: A transactional method and system of managing access to API services based on the performance of computational tasks by an end-user is disclosed. The system and method are configured to identify requests from an end-user to an API for services that are associated with a transactional cost. This cost is passed on to the end-user by generation of a computational task assignment to be completed by the client computing system. Once the assignment has been performed, the end-user may be granted access to the requested service.

Abstract: A method may include receiving an alert and a recorded data set from a first monitoring system and receiving a first set of permissions from the first monitoring system. The method may also include determining a permission associated with sharing of the recorded data set based at least in part on the first set of permissions. The method may also include determining that sharing of at least a portion of the recorded data from the first monitoring system is permitted based at least in part on the permission and sharing the at least a portion of the recorded data set.

Abstract: A method and system for improving and automating the identification of homes located in an imminent or current disaster zone and causing an immediate release of funds to residents without requiring the insured member to first submit a claim are disclosed. The system and method are configured to determine whether there is a high likelihood of a disaster event occurring in a region, based on external sources or local device sensors. In response to the disaster event, a smart contract is executed such that funds are expeditiously released via a distributed ledger system to insured members in the first region.

Abstract: Systems and methods described herein facilitate the tracking of shared ownership of assets, such as real property as well as other types of property, using distributed ledger technology (DLT) techniques. For example, in timesharing scenarios, by storing data relating to shared ownership of particular assets in a distributed ledger, such as a blockchain, various aspects of the shared ownership of the shared asset may be tracked in an immutable and secure manner with all parties involved having transparency into the data relating to the shared asset. For example, the embodiments described herein enable tracking of certain aspects relating to shared ownership of a shared asset, such as scheduling of time periods during which certain share owners may take custody, tracking of transfers of custody of the shared asset between share owners, transfer of control of smart devices associated with the shared asset, and so forth.

Abstract: A technique for assessing a landscape condition of a property is provided that determines landscape condition for an individual property or properties of interest using image data from one or more unmanned aerial vehicles. Based on the image data, a control system may generate a landscape condition output, such as an alert for a property owner or control signals for damage mitigation devices.

Abstract: The present application generally relates to a system that includes one or more sensors configured to acquire data representative of a geographic area, including municipal data, vehicular data, utility data, or a combination thereof. The system also includes a processor that receives a request for a loan from a requesting party. The request is associated with a service to be provided to the geographic area. The processor determines a factor for the geographic area based on the data, and the factor is representative of a presence of the service within the geographic area. Additionally, the processor determines a gap associated with the service within the geographic area. The gap is indicative of a perceived desire for the service within the geographic area. Furthermore, the processor determines whether the gap exceeds a threshold value and automatically transfers funds to the requesting party in response to the gap exceeding the threshold value.

Abstract: The present disclosure relates generally to aggregation of data associated with events related to automotive vehicles. Automotive vehicles may include a variety of sensing devices used in local sensing operations. However, these sensing devices may not be leveraged beyond the local sensing operations. When automotive vehicles are operated, sometimes events occur. As discussed herein, an event-based data aggregation service may aggregate sensing data from one or more sensing devices, such as sensing devices of the automotive vehicles, in response to receiving an event notification associated with one or more of the events and may use the sensing data when responding to the event notification.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server for enabling automatic shopping. The server may associate a shopping cart with a customer's electronic user device. The server may monitor the locations of the electronic user device. Based on the customer's location, the server may identify the shelves and items the customer has visited. When an item is lifted from the shelf, at least one weight sensor on the shelf may detect the weight change. The server may receive a notification comprising an amount of weight change from the weight sensor on the shelf. When the customer places the item into his/her shopping cart, the weight sensor on the shopping cart may detect the weight addition. If the weight change and weight addition match, the analytic server may determine that the item picked up from the shelf is placed within the customer's shopping cart.

Abstract: An artificially intelligent loan recommendation agent and a method of making loan recommendations are disclosed. The artificially intelligent loan recommendation agent can classify applicants into traditional and non-traditional categories. Based on this categorization, the agent may use different information to make loan recommendations for the applicant. For non-traditional applicants, applicant rating information can be used, including ratings of an applicant’s professional skills obtained from consumer review sites. The agent can also conduct virtual interviews and analyze body language and speech to determine if an applicant may be lying.

Abstract: Systems and methods described herein track bartering using distributed ledger techniques to, for example, facilitate the establishment of a bartering marketplace that enables users to barter for, and ultimately exchange, services and/or goods with each other. In certain embodiments, a monetary value may be assigned to each service and/or good to be bartered to establish appropriate bartering baselines. In addition, in certain embodiments, additional monetary value exchanges may be tracked for particular exchanges to make sure that the exchanges are fair.

Abstract: Disclosed are systems and methods for supporting a vehicle lending services platform. Specifically, machine learning is applied to identify and accumulate data from electronic services. The machine learning is further used to identify risk associated with a potential lend of a vehicle. The identified risk is presented as part of a browser plugin graphical user interface (GUI) and/or inline with portions of a portal GUI of the vehicle lending services platform.

Abstract: A method may include receiving, via a processor, a request for payment of a payment amount from a first computing system. The method may also involve receiving a location of the first computing system, identifying one or more automatic teller machines (ATMs) based on the location of the first computing system, generating an image configured to cause the one or more ATMs to dispense funds that correspond to the payment amount, and sending the image to the first computing system.

Abstract: Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.