Abstract: Disclosed herein is an environmental scanning tool that generates a digital model representing the surroundings of a user of an extended reality head-mounted display device. The environment is imaged in both a depth map and in visible light for some select objects of interest. The selected objects exist within the digital model at higher fidelity and resolution than the remaining portions of the model in order to manage the storage size of the digital model. In some cases, the objects of interest are selected, or their higher fidelity scans are directed, by a remote user. The digital model further includes time stamped updates of the environment such that users can view a state of the environment according to various timestamps.

Abstract: Systems and methods of selectively compressing video data are disclosed. The proposed systems provide a computer-implemented process configured to classify a person's behavior(s) during a video and encode the behaviors as a representation of the video. The encoding will be tailor-generated based on the specific display configuration of the target device at which playback is expected to occur. Target device displays with lower resolution and video quality characteristics will trigger an encoding of the video data that has less complexity than target device displays with higher resolution and video quality characteristics. When playback of the video is requested at the target device, a reconstruction of the video is generated by a video synthesizer based on a reference image of the person and the encoding rather than the original video file, significantly reducing memory, processing, power, and bandwidth requirements.

Abstract: Systems and methods of compressing video content as encoded data and selectively reconstructing portions of the content are disclosed. The proposed systems provide a computer-implemented process configured to classify a person's behavior(s) during a video and encode the behaviors as a representation of the video. When playback of the video is requested, a video navigation assistant will allow the end-user to select specific segments of the video based on topics discussed in the video and the codes that were generated to represent the video. The user is then able to move through segments of the video in a sequence that aligns with their viewing preferences.

Abstract: The present embodiments relate to on demand generation of curated audio content. Responsive to initiation of an electronic communication by a client, audio relating to a client speaking to the operator can be processed to derive a series of insights relating to features of the audio. Previously recorded audio relating to the operator can be combined with a text-based script to generate audio content. The audio content can be modified using the series of derived insights. The modified audio content can include a series of disclaimers that are played back to the client. Generation of the modified audio content can be dynamically generated responsive to detecting a trigger that allows for on-demand generation of the modified audio content.

Abstract: Systems and methods are directed toward evaluating auditory inputs against a range of tolerance to provide feedback regarding pronunciation. An auditory input may be evaluated using a trained machine learning system and evaluated for similarity against a target word. Similarity may be scored and then evaluated to determine whether the similarity falls within a range of tolerance, wherein the range of tolerance may be adjusted or modified for particular uses. A score within the range of tolerance is indicative of a word that has been pronounced such that it would be perceptible.

Abstract: Systems and methods for responding to latency in connected vehicles. Vehicles operating on or near the edge of networks are identified. Vehicle dependent nodes are identified. Latency is calculated between the vehicle and the dependent nodes. The latency is compared to one or more threshold values and a response is determined and/or executed.

Abstract: A digital avatar system can process video streams and generate synthetic video with a digital avatar. The digital avatar provides the appearance of a participant from the video stream talking and one or more of performing various behaviors or actions consistent with the participant's behavior when they are live streamed. A digital avatar system can detect triggering events during a live stream and automatically switch to an avatar mode.

Abstract: Systems, methods, and non-transitory computer-readable media for managing data in view of data controls are provided. A request can be received from a client located in a jurisdiction to utilize a portion of data with a service. Based on a rule applicable to the jurisdiction, it can be determined that the service to utilize the portion of data is unavailable in the jurisdiction. To comply with the rule, a virtualized instance of the service can be deployed on hardware in the jurisdiction.

Abstract: Systems and methods of compressing video data are disclosed. The proposed systems provide a computer-implemented process configured to classify a person's behavior(s) during a video and encode the behaviors as a representation of the video. When playback of the video is requested, a reconstruction of the video is generated by a video synthesizer based on a reference image of the person and the sequence of codes corresponding to their behavior during the video. Storage and transmission of the video can then be limited to the reference image and the behavioral codes rather than the video file itself, significantly reducing memory and bandwidth requirements.

Abstract: The present embodiments relate to augmented reality (AR) device managed object selection and acquisition processing. The client, via a client AR device, can view objects in an environment. The system can process sensor data depicting the environment to identify objects in the environment and determine whether the client has selected a detected object. The system can authenticate an identity of the client (e.g., via iris scanning) and initiate an acquisition process for one or more selected objects. The client can select objects, authenticate the client as an authenticated user, and/or initiate the acquisition process on the AR device directly.

Abstract: The present embodiments relate to on demand generation of curated audio content. Responsive to initiation of an electronic communication by a client, audio relating to a client speaking to the operator can be processed to derive a series of insights relating to features of the audio. Previously recorded audio relating to the operator can be combined with a text-based script to generate audio content. The audio content can be modified using the series of derived insights. The modified audio content can include a series of disclaimers that are played back to the client. Generation of the modified audio content can be dynamically generated responsive to detecting a trigger that allows for on-demand generation of the modified audio content.

Abstract: A system for use with an autonomous vehicle includes one or more processors configured to receive one or more inputs from a driver and to control the autonomous vehicle based on the one or more inputs. Each input is indicative of an anticipated driver response to a driving incident.

Abstract: Systems and methods receive contextual data related to spending as well as spending data. Correlations are determined to explain variables that influence spending amounts or rates. Systems and methods can collect user spending context data associated with a user, generate spending correlations between variables of the user spending context data, determine a next event based on at least one of the location data and the relationship data, and generate a next event value for the next event having at least a subset of the variables.

Abstract: Systems and methods for responding to latency in connected vehicles. Vehicles operating on or near the edge of networks are identified. Vehicle dependent nodes are identified. Latency is calculated between the vehicle and the dependent nodes. The latency is compared to one or more threshold values and a response is determined and/or executed.

Abstract: Systems and methods for transportation management described herein are capable of providing a recommendation to a user on a mode of transportation to travel from a start location to a destination location. The systems and methods may the determine a recommended mode of transportation based on user preferences obtained from a user profile and energy cost associated with each of available modes of transportation to travel from the start location to the destination location. The systems and methods then transmits a recommended mode of transportation along with a recommended route to travel from the start location to the destination location on a graphical user interface of a user device of the user.

Abstract: A method for managing data in view of data controls includes determining that a jurisdictional restriction associated with a jurisdiction applies to utilization of a portion of data, determining that a compliant service to utilize the portion of data is unavailable, deploying an instance of the compliant service, and utilizing the portion of data using the instance of the compliant service.

Abstract: Disclosed herein is an environmental scanning tool that generates a digital model representing the surroundings of a user of an extended reality head-mounted display device. The environment is imaged in both a depth map and in visible light for some select objects of interest. The selected objects exist within the digital model at higher fidelity and resolution than the remaining portions of the model in order to manage the storage size of the digital model. In some cases, the objects of interest are selected, or their higher fidelity scans are directed, by a remote user. The digital model further includes time stamped updates of the environment such that users can view a state of the environment according to various timestamps.

Abstract: Systems and methods of presenting interrupting content during human speech are disclosed. The proposed systems offer improved duplex communications in conversational AI platforms. In some embodiments, the system receives speech data and evaluates the data using linguistic models. If the linguistic models detect indications of linguistic irregularities such as mispronunciation, a smart feedback assistant can determine that the system should interrupt the speaker in near-real-time and provide feedback regarding their pronunciation. In addition, conversational irregularities may also be detected, causing the smart feedback assistant to interrupt with presentation of moderating guidance. In some cases, emotion models may also be utilized to detect emotional states based on the speaker's voice in order to offer near-immediate feedback. Users can also customize the manner and occasions in which they are interrupted.

Abstract: Systems and methods ingest extensive data regarding real-time transactions to determine correlation between a variety of parameters and possible fraud events. Possible fraud can be predicted, and notifications delivered to a fraud team. Correlations can be discovered using unsupervised machine learning, and particular systems and methods can utilize natural language processing to both receive and provide information concerning fraud risk and countermeasures.

Abstract: Systems and methods for responding to latency in connected vehicles. Vehicles operating on or near the edge of networks are identified. Vehicle dependent nodes are identified. Latency is calculated between the vehicle and the dependent nodes. The latency is compared to one or more threshold values and a response is determined and/or executed.