Abstract: A computer system is provided. The computer system may be programmed to: (a) receive appliance data relating to a first appliance; (b) compute, using an artificial intelligence model, a predicted remaining lifetime of the first appliance based upon the received appliance data of the first appliance, wherein the artificial intelligence model is trained based upon historical appliance data including data associated with historical lifetimes of similar appliances; (c) determine whether the predicted remaining lifetime exceeds a first threshold; (d) if the determination is that the predicted remaining lifetime exceeds the first threshold, determine one or more replacements for the first appliance; and/or (e) transmit content data to a user device that, when received by the user device, causes the user device to generate a user interface including at least the predicted remaining lifetime of the first appliance and the determined one or more replacements for the first appliance.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: A computer system is provided. The computer system may be programmed to: (a) receive appliance data relating to a first appliance; (b) compute, using an artificial intelligence model, a predicted remaining lifetime of the first appliance based upon the received appliance data, wherein the artificial intelligence model is trained based upon historical appliance data including historical lifetimes of appliances; and/or (c) transmit content data to a user device that, when received by the user device, causes the user device to generate a user interface including at least the predicted remaining lifetime.

Abstract: Techniques for aggregating execution metrics during virtualization are provided. In some embodiments, aggregated execution metrics (e.g., average execution time) are generated and stored for different types of supported virtualization service operations executed by a virtualization service provider (VSP) in a virtualization stack handling requests from a virtualization service client (VSC) running in a computer system emulator. For example, execution calls to the VSP are intercepted, and execution metrics for a triggered virtualization service operation are generated and aggregated into an aggregation entry that represents aggregated performance (e.g., average execution time) of all instances of the virtualization service operation that were completed during an interval (e.g., 1 hour). Aggregated execution metrics may be stored for any number of historical intervals.

Abstract: A computer system for controlling and provisioning access to a smart device associated with a property includes a plurality of connected smart devices physically located within or near the property and communicatively coupled to a local communication network and a remote system server configured to communicate with the connected smart devices via an external communication network. The remote system server includes one or more processors programmed to identify the connected smart devices within or near the property and a respective device definition for each connected smart device, generate a host environment for a host user, generate a guest environment for the guest user, and enable defined control of each connected smart device within the property by the guest user, according to the access parameters.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle build information (VBI) for vehicles manufactured by a plurality of OEMs may be obtained. The VBI may contain OEM-specific terminology for smart safety features associated with each vehicle. The obtained VBI may be analyzed to generate an ontology model mapping each feature to any OEM-specific terminology associated with the feature. The ontology model may be applied to the VBI to generate translated VBI for each vehicle, such that the OEM-specific terminology associated with each feature is replaced with OEM-agnostic terminology for the feature. Vehicle accident record information may be obtained for each vehicle, including, e.g., the number, frequency, severity, etc. of accidents associated with each vehicle.

Abstract: System and methods for detecting anomalous water usage at a property having a water supply system using machine learning (ML) are provided. An ML model may generate an estimated water usage of the property associated with the property data set, where the property data set may include attributes of the property influencing the water usage of the property. The ML model may be configured to learn relationships between a historical water usage data set and a historical property data set. The systems and methods may compare the water usage of the property and the estimated water usage of the property. If the comparison indicates the water usage exceeds a threshold, a notification may be generated and provided to a user device.

Abstract: Systems and methods disclosed herein relates generally to using virtual reality (VR) for creating a digital twin of a home. In some embodiments, image data of a structure and an indication of a modification may be received, a virtual reality (VR) feed including a virtual representation of the modification proximate the structure may be generated, and the VR feed may be provided for presentation to a user within a VR display.

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) determine at least one of an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore for a home; (2) identify a device; (3) determine a home score improvement that adding the device to the home would make for the overall home score, the home safety subscore, the fire protection subscore, the sustainability subscore, and/or the home automation subscore; and/or (4) display the home score improvement on a display, and/or otherwise visually, graphically, textually, audibly, or verbally outputting the home score improvement, such as via a processor, screen, voice bot, chatbot, or other bot.

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) identify an upgrade and/or service to a home; (2) determine a home score improvement that the upgrade and/or service would make for an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore; and/or (3) display the home score improvement along with an indication of the upgrade and/or service on a display.

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) receive imagery data; (2) determine a new device based upon the imagery data; (3) determine a home score improvement that adding the new device to the home would make for the overall home score, the home safety subscore, the fire protection subscore, the sustainability subscore, and/or the home automation subscore; and/or (4) display the home score improvement on a display.

Abstract: Systems and methods disclosed herein relates generally to using augmented reality (AR) for visualizing recommended updates to devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended update.

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) provide a recommendation to purchase a new device or repair an existing device to improve an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore; (2) receive a selection associated with the new device or a selection associated with the existing device; and/or (3) in response receiving the selection associated with the new device or the selection associated with the existing device, provide a tutorial of the new device or the existing device.

Abstract: Systems and methods disclosed herein relate generally to using augmented reality (AR) for receiving and displaying recommended devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended device.

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) display, in a first portion of a display, identifying information of a home; and (2) display, in a second portion of the display: (a) an overall home score determined based upon a plurality of home subscores; (b) the plurality of home subscores comprising: a home safety subscore determined via a home safety subscore machine learning algorithm, a fire protection subscore determined via a fire protection subscore machine learning algorithm, a sustainability subscore determined via a sustainability subscore machine learning algorithm, and/or a home automation subscore determined via a home automation subscore machine learning algorithm; and (c) a relative home score comprising a comparison between the overall home score and scores of other homes.

Abstract: Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle build information (VBI) for vehicles manufactured by a plurality of OEMs may be obtained. The VBI may contain OEM-specific terminology for smart safety features associated with each vehicle. The obtained VBI may be analyzed to generate an ontology model mapping each feature to any OEM-specific terminology associated with the feature. The ontology model may be applied to the VBI to generate translated VBI for each vehicle, such that the OEM-specific terminology associated with each feature is replaced with OEM-agnostic terminology for the feature. Vehicle accident record information may be obtained for each vehicle, including, e.g., the number, frequency, severity, etc. of accidents associated with each vehicle.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: An autonomous vehicle (AV) including a vehicle body, and a vehicle computing device is provided. The vehicle computing device includes a processor in communication with a memory device. The processor is configured to identify a time and a geographic location of a traffic collision involving the AV, retrieve map data and contextual data associated with the time and the geographic location of the traffic collision, retrieve vehicle telematics data collected by sensors coupled to the vehicle body, determine for each of a plurality of moments in time during the traffic collision a position and an orientation of the AV during the traffic collision, generate a simulation of the traffic collision including a representation of the AV based upon the map data, the contextual data, and the vehicle telematics data, and provide content to enable display of the simulation on a display device.