Abstract: A vehicle or a mobile device within or near the vehicle can have multiple sensors to sense biometric features of a user or driver, and electronic circuitry (such as a computing system) can classify the user or driver according to the sensed biometric features. Also, non-biometric factors of the user or driver or of the mobile device of the user or driver can be used to classify the user or driver, e.g., MAC address, RFID, username and password, PIN, etc. Also, factors from interaction with a user interface of the vehicle or the mobile device can be used to classify the user or driver. Such features and factors can be used alone or in combination for the classification, and the classification can use AI (such as an ANN). The vehicle or the mobile device can then selectively enable or disable features of the vehicle based on the classification.

Abstract: Systems and methods for characterizing a driving style of a human driver are presented. A system may include one or more sensors configured to collect information concerning driving characteristics associated with operation of a vehicle by a human; a memory containing computer-readable instructions for evaluating the information concerning driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human and for characterizing aspects of the driving style of the human based on the one or more patterns; and a processor configured to read the computer-readable instructions from the memory, evaluate the driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human, and characterize aspects of the driving style of the human based on the one or more patterns. Corresponding methods and non-transitory media are disclosed.

Abstract: A vehicle or a mobile device within or near the vehicle can have multiple sensors to authenticate a passenger or driver of the vehicle in different ways, e.g., fingerprint, facial recognition, voice fingerprinting, iris scan, etc. Also, non-biometric factors can be used to authenticate the passenger or driver of the vehicle, e.g., MAC address, RFID, username and password, PIN, etc. In addition, a network attached security asset accessed by a vehicle can be included within the vehicle such as modem within the vehicle with authentication capabilities. Also, the authentication can be according to a zero trust framework or networking methodology. Some or all of such credentials and authentication factors or methods can fail individually, at least in part, in various conditions. An intelligent system, making use of intelligent multi-factor authentication, can combine such information to determine the identity of the passenger or driver with more reliability.

Abstract: Systems, methods and apparatuses of predictive maintenance of automotive transmission of vehicles. For example, the transmission has at least one sensor to measure a temperature in transmission fluid, the torque applied on a shaft of the transmission, a vibration sensor, and/or a microphone. During a period in which the vehicle is assumed to be operating normally, the sensor data generated by the transmission sensor(s) is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, the trained artificial neural network is used to determine whether the current sensor data from the transmission sensor(s) are abnormal. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the transmission are abnormal according to the artificial neural network and the current sensor data.

Abstract: Systems, methods and apparatuses to detect an item left in a vehicle and to generate an alert about the item. For example, a camera configured in a vehicle can be used to monitor an item associated with a user of the vehicle. The item as in an image from the camera can be identified and recognized using an artificial neural network. In response to a determination that the item recognized in the image is left in the vehicle after the user has exited the vehicle, an alert is generated to indicate that an item is in the vehicle but the user is leaving the vehicle.

Abstract: The system includes a frame composed of materials and geometry allowing selective deformation in a plane perpendicular to a patient's anatomy at the surgical site but resisting deformation in a plane parallel to the anatomy. The frame is connected to stabilizing features and sheets, which are attached to adhesive to secure the frame to the patient. The features, sheets, and adhesive layers extend both into and beyond the frame. An integrated sheet covers the prospective incision site on the patient. When positioned at the site, the frame conforms to the patient. Anchor points are distributed along the frame to reversibly secure and provide a stable base for surgical retractors, even when unilaterally applied. By adaptable positioning and design of the stabilizing members and adhesive layers on the frame, the system is able to provide optimal tractional stability when experiencing tensile loads in myriad surgical environments including ophthalmic and spinal surgery.

Abstract: Apparatuses and methods for heating moving continuous glass ribbons at desired lines of separation and/or for separating glass sheets from continuous glass ribbons are disclosed. An apparatus includes a translatable support portion and a heating apparatus coupled to the support portion. The heating apparatus is configured to contact the continuous glass ribbon across at least a portion of a width of the continuous glass ribbon at the desired line of separation as the support portion moves in a draw direction, thereby preferentially applying heat to a first side of the continuous glass ribbon at the desired line of separation as the continuous glass ribbon moves in the draw direction.

Abstract: Systems for automatically warning at least one nearby vehicle of a potential safety hazard in or near a roadway, including one or more sensors configured to detect a potential safety hazard in or near a roadway; a memory containing computer-readable instructions for generating a message including at least one of a location of the one or more sensors and a location of the potential safety hazard; a processor configured to read the computer-readable instructions from the memory and generate the message; and a transmitter configured to wirelessly transmit the message to at least one nearby vehicle. Systems for coordinating actions of a first vehicle and a second vehicle upon detection of a potential safety hazard in or near a roadway, including in part evaluating whether the actions conflict and, if so, requesting that the first vehicle execute alternative actions for avoiding or mitigating risk of collision. Corresponding methods are disclosed.

Abstract: Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.

Abstract: A device for surgical retraction having a frame flexible to conform to a patient’s anatomy, the frame including at least one anchoring member for retaining a tissue retraction member. A stabilizing member is attached to the frame and secures the stabilizing member to a patient, wherein a tissue retraction member applying a force to the frame in a first direction is counterbalanced by the stabilizing member to provide a force in a second opposite direction.

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an output partition configured to store output data from the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for cyclic sequential overwrite of selected outputs that are updated less frequently than inputs to the ANN.

Abstract: Embodiments of the present disclosure relate to assisted driving of a vehicle. The response time of the driver may be measured and control operations may be adjusted to accommodate or compensate the response time of the driver. Predictive actions in anticipation of a slightly delayed input from the driver may be taken to avoid potentially dangerous conditions. A vehicle may be controlled to slow down to allow more time to a potential event to accommodate a slow response from the driver.

Abstract: Identifying relationships between healthcare practitioners and healthcare facilities based on billed claims. A method includes assessing facility claims billed by a facility over a time period to identify a practitioner that performed a procedure at the facility within the time period and assessing carrier claims billed by the practitioner over the time period to identify all facilities in which the practitioner performed a procedure within the time period. The method includes calculating a total quantity of the facility claims billed over the time period that indicate a procedure was performed at the facility and a total quantity of the carrier claims billed by the practitioner over the time period that indicate the practitioner performed a procedure.

Abstract: Identifying and quantifying a professional relationship between a practitioner and a clinic. A method includes identifying a clinic associated with a practitioner by assessing claims processed by the practitioner, identifying the clinic that are processed by the practitioner, and calculating a total quantity of claims processed by the practitioner. The method includes quantifying a relationship between the practitioner and the clinic based on the quantity of clinic claims and the total quantity of claims.

Abstract: A system in a vehicle can have a camera and/or a sensor. Such a camera can be configured to record a visual feature of a user in the vehicle and send data derived from the visual feature. Such a sensor can be configured to sense a non-visual feature of the user in the vehicle and send data derived from the non-visual feature. The system can have a computing system configured to receive such data from the camera and the sensor. The computing device can also be configured to determine a state of the user based on the received data derived from visual and non-visual features, as well as an AI system. The computing device can also be configured to enable or disable a function of the vehicle based at least partially on the state of the user, which the AI system can infer from the received data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content based on context are disclosed. In one aspect, a method includes identifying, in a single resource, multiple different content item slots that are available for presentation of multiple different content items. A determination is made that a first content item slot is located in a first portion of the single resource, and that a second content item slot is located in a second different portion of the resource. A first content item is selected for presentation in the first content item slot based on terms that correspond to a first topic of the first portion of the resource. A second content item is selected for presentation in the second content item slot based on terms that correspond to a second topic of the second portion of the resource.

Abstract: Systems, methods and apparatus of accelerating neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory to store at least a portion of the sensor data stream; a controller; and a neural network accelerator coupled to the controller. The neural network accelerator is configured to perform at least a portion of computations based on an artificial neural network and the sensor data stream to predict a maintenance service of the vehicle.

Abstract: An electrical connector comprises an insulative shell having a floor; a first plurality of contacts extending through the floor, wherein the first plurality of contacts are disposed in a plurality of columns; a second plurality of contacts extending through the floor, wherein the second plurality of contacts are interspersed with the first plurality of contacts within the plurality of columns; and a conductive member adjacent the floor. The conductive member comprises a first plurality of openings, wherein the first plurality of contacts extend through the openings of the first plurality of openings; a second plurality of openings, wherein the second plurality of contacts extend through the openings of the second plurality of openings; and a first plurality of tabs, extending into openings in the insulative shell.

Abstract: The system includes a frame composed of materials and geometry allowing selective deformation in a plane perpendicular to a patient's anatomy at the surgical site but resisting deformation in a plane parallel to the anatomy. The frame is connected to stabilizing features and sheets, which are attached to adhesive to secure the frame to the patient. The features, sheets, and adhesive layers extend both into and beyond the frame. An integrated sheet covers the prospective incision site on the patient. When positioned at the site, the frame conforms to the patient. Anchor points are distributed along the frame to reversibly secure and provide a stable base for surgical retractors, even when unilaterally applied. By adaptable positioning and design of the stabilizing members and adhesive layers on the frame, the system is able to provide optimal tractional stability when experiencing tensile loads in myriad surgical environments including ophthalmic and spinal surgery.

Abstract: Methods, systems, and media for presenting recommended content based on social cues are provided. In accordance with some embodiments, a method for presenting recommended content is provided comprising: receiving a query associated with a user; generating a list of relevant media content items based on the query; selecting items for presentation to the user based on social relevance scores based on social connections of the user that have consumed a relevant item and contextual relevance scores for each item; causing the selected items to be presented to the user; and indicating that a particular item was consumed by a particular social connection.