Abstract: A computer-implemented method for health assessment includes providing an artificial neural network trained with training data. The method also includes receiving activity data comprising personal activity metrics corresponding to a target person, and determining, by the artificial neural network, a health indicator of the target person based upon the activity data corresponding to the target person. The method further includes outputting the health indicator of the target person to an electronic device for communication of the health indicator to a user of the electronic device. Other embodiments are disclosed.

Abstract: Systems and methods for analyzing documentation for assessing potential fraudulent user submissions are provided. According to certain aspects, a server computer may receive an initial set of documentation descriptive of damage to a property asset, and may analyze the initial set of documentation to determine whether additional documentation is needed. The server computer may initiate a communication channel with a user device via which the additional documentation may be submitted, and the server computer may similarly analyze the additional documentation to determine a likelihood of fraud. The server computer may process the user submission accordingly.

Abstract: Systems and methods for improving vehicular safety are disclosed. According to embodiments, an electronic device may collect or accumulate various sensor data associated with operation of a vehicle by an individual, including image data, telematics data, and/or data indicative of a condition of the individual. The electronic device may analyze the sensor data to determine whether the individual is distracted and whether the vehicle is approaching a location that may be prone to incidents. The electronic device may accordingly generate and present a notification to the individual to mitigate any posed risks.

Abstract: A hand-held ultrasound device, for placement on a subject, includes a semiconductor device and a housing to support the semiconductor device. The semiconductor device includes: a plurality of ultrasonic transducer elements; a plurality of pulsers coupled to the plurality of ultrasonic transducer elements; a plurality of waveform generators configured to drive the plurality of pulsers; receive processing circuitry configured to process ultrasound signals received by the plurality of ultrasonic transducer elements; and a plurality of independently controllable registers configured to store a plurality of different parameters for the waveform generators.

Abstract: An information handling system includes a cover and a bonded hinge assembly bonded to the cover. The bonded hinge assembly includes a support frame and a hinge. The support frame has a low airflow impedance. The hinge is bonded to the support frame. The hinge is integrated within the support frame when the hinge is bonded to the support frame.

Abstract: A method of training and using a machine learning model that controls for consideration of undesired factors which might otherwise be considered by the trained model during its subsequent analysis of new data. For example, the model may be a neural network trained on a set of training images to evaluate an insurance applicant based upon an image or audio data of the insurance applicant as part of an underwriting process to determine an appropriate life or health insurance premium. The model is trained to probabilistically correlate an aspect of the applicant's appearance with a personal and/or health-related characteristic. Any undesired factors, such as age, sex, ethnicity, and/or race, are identified for exclusion. The trained model receives the image (e.g., a “selfie”) of the insurance applicant, analyzes the image without considering the identified undesired factors, and suggests the appropriate insurance premium based only on the remaining desired factors.

Abstract: A gate-based vehicle image capture system for analyzing vehicle image data is presented. The system may include a portable imaging gate apparatus configured to capture vehicle image data of a vehicle. The portable imaging gate apparatus may include a plurality of imaging assemblies positioned at a plurality of viewing angles. The system may further include an external processing server configured to receive the vehicle image data from the portable imaging gate apparatus. The external processing server may also analyze the vehicle image data to identify a plurality of vehicle features, and determine a first vehicle feature from the plurality of vehicle features. The first vehicle feature may be related to a vehicle incident. The system may also include a provider server configured to receive the first vehicle feature from the external processing server, and update an aspect of a risk evaluation based on the first vehicle feature.

Abstract: Provided herein are compounds that can inhibit the replication of influenza viruses, reduce the amount of influenza viruses, and/or treat influenza.

Abstract: Systems and methods for assessing accident events are disclosed According to certain aspects, an electronic device may access sensor data associated with operation of a vehicle, and analyze the sensor data to determine that an accident event has occurred. In response, the electronic device may dynamically and automatically retrieve additional sensor data from at least one additional electronic device via a short range communication. The electronic device may compile or aggregate the additional sensor data with the original sensor data to provide a thorough representation of the accident event.

Abstract: Beamforming circuitry for an ultrasound device is disclosed, that may directly calculate the position in receive line space for an incoming ultrasound data sample given the time of flight (ToF) of that ultrasound data sample. In some embodiments, this may be done without initially buffering the ultrasound data sample received from the particular receive datapath multiplexed to the beamforming circuitry. The beamforming circuitry may then associate the ultrasound data sample with that position in receive line space, and in particular, with a memory address corresponding to that location. Thus, when the beamforming circuitry multiplexes between different receive datapaths, it may not need to buffer ultrasound data samples from different receive datapaths prior to saving the data to memory.

Abstract: Systems and methods for improving vehicular safety are disclosed. According to embodiments, an electronic device may collect or accumulate various sensor data associated with operation of a vehicle by an individual, including image data, telematics data, and/or data indicative of a condition of the individual. The electronic device may analyze the sensor data to determine whether the individual is distracted and whether the vehicle is approaching a location that may be prone to incidents. The electronic device may accordingly generate and present a notification to the individual to mitigate any posed risks.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: comparing, by an electronic device, at least one parameter of a set of telematics data associated with a vehicle and at least one additional parameter of an additional set of telematics data associated with one or more other vehicles within a threshold distance of the vehicle to determine a difference between the at least one parameter and the at least one additional parameter; and displaying, by the electronic device, the difference to the operator of the vehicle to notify the operator of the vehicle about the difference. Other embodiments are described.

Abstract: Apparatuses, systems and methods are provided for determining vehicle driver distractions. More particularly, apparatuses, systems and methods are provided for receiving vehicle interior data from at least one vehicle interior sensor, wherein the vehicle interior data is representative of at least one distraction of at least one vehicle occupant that is associated with a position of a body of the at least one vehicle occupant; generating vehicle driving route distraction data based on the vehicle interior data; and providing instructions to the at least one vehicle occupant to return to a normal driving position.

Abstract: A method of training and using a machine learning model that controls for consideration of undesired factors which might otherwise be considered by the trained model during its subsequent analysis of new data. For example, the model may be a neural network trained on a set of training images to evaluate an insurance applicant based upon an image or audio data of the insurance applicant as part of an underwriting process to determine an appropriate life or health insurance premium. The model is trained to probabilistically correlate an aspect of the applicant's appearance with a personal and/or health-related characteristic. Any undesired factors, such as age, sex, ethnicity, and/or race, are identified for exclusion. The trained model receives the image (e.g., a “selfie”) of the insurance applicant, analyzes the image without considering the identified undesired factors, and suggests the appropriate insurance premium based only on the remaining desired factors.

Abstract: Systems and methods are provided for determining a health indicator, such as a life expectancy, of a target person using a proxy model comprising an artificial neural network, in lieu of more complex, costly, and/or invasive health assessment processes. The artificial neural network may be constructed from labeled training data comprising a plurality of activity data training sets, each set including personal activity metrics associated with activities performed by a respective training person as derived from sensor data obtained via one or more mobile electronic devices (e.g., a smartphone or a wearable device) of the respective training person. The trained artificial neural network may then obtain and process an activity data set associated with the target person to determine a health indicator of the target person.

Abstract: Systems and methods for analyzing documentation for assessing potential fraudulent user submissions are provided. According to certain aspects, a server computer may receive an initial set of documentation descriptive of damage to a property asset, and may analyze the initial set of documentation to determine whether additional documentation is needed. The server computer may initiate a communication channel with a user device via which the additional documentation may be submitted, and the server computer may similarly analyze the additional documentation to determine a likelihood of fraud. The server computer may process the user submission accordingly.

Abstract: Apparatuses, systems and methods are provided for generating and transmitting data representative of a vehicle operation mode. More particularly, apparatuses, systems and methods are provided for generating data representative of a vehicle operation mode based on vehicle interior image data.

Abstract: Aspects of the technology described herein relate to built-in self-testing (BIST) of circuitry (e.g., a pulser or receive circuitry) and/or transducers in an ultrasound device. A BIST circuit may include a transconductance amplifier coupled between a pulser and receive circuitry, a capacitor network coupled between a pulser and receive circuitry, and/or a current source couplable to the input terminal of receive circuitry to which a transducer is also couplable. The collapse voltages of transducers may be characterized using BIST circuitry, and a bias voltage may be applied to the membranes of the transducers based at least in part on their collapse voltages. The capacitances of transducers may also be measured using BIST circuitry and a notification may be generated based on the sets of measurements.

Abstract: A portable information handling system pivots a hinge rotational axis as the hinge rotates housing portions between open and closed positions to manage a gap between the housing portions. For example, the hinge couples a base at a perimeter of one housing portion, the base having a many body that slides on sliding members of the base and that supports a bracket extending inward to couple to another housing portion. A bracket gear engages with a pinion gear included in the main body to translate bracket rotation through the pinion gear to a rack integrated in the base, thereby sliding the main body relative to the base as the housing portions rotate so that the distance between the housing portions adjusts with rotational orientation.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving sensor data detected by one or more image sensors in a vehicle, wherein the sensor data is representative of driver movements of a driver in the vehicle; categorizing the sensor data as driver postures representative of actions of the driver in the vehicle; rotating and scaling the driver postures to be standardized for different drivers and for different locations of the one or more image sensors within different vehicles; analyzing the sensor data to determine a reference position of the driver in the vehicle; and storing, in a database, the driver postures, as rotated and scaled, and the reference position of the driver in the vehicle. Other embodiments are disclosed.