Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. A driver enclosed within the package is programmable to generate a spread spectrum signal to represent data being transmitted from a pin of the device. Frequency distribution of the signal spreading over a bandwidth in a frequency domain can be programmed to customize the electromagnetic emission caused by the communication of data through the pin. The frequency spreading can be programmed to reduce energy consumption, electromagnetic interference, and/or errors in receiving the data transmitted via the pin. The settings can be programmed into registers enclosed in the integrated circuit package to control the driver and/or dynamically adjusted using an artificial intelligent engine to optimize a cost function.

Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. A driver, enclosed within the package, is programmable to adjust the strength, delay, and/or slew rate of the signals driven onto a pin of the device to represent a predetermined bit of data. Such aspects of the signals driven by the driver according to the programmed settings can be adjusted to reduce energy consumption, electromagnetic interference, and/or errors in receiving the data transmitted via the pin. The settings can be programmed into registers enclosed in the integrated circuit package to control the driver and/or dynamically adjusted using an artificial intelligent engine to optimize a cost function.

Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. Circuitry in the device is configured to automatically adapt settings of a pin driver to a system in which the device is installed. For example, the driving strength of the pin driver can be automatically reduced to an optimized level that is just above a level that can cause errors in communications. For example, the delay of a signal driving by the pin driver can be set to a midpoint between an upper boundary of delays between failed and successful transmissions and a lower boundary of delays between successful and failed transmissions.

Abstract: Methods, systems, and apparatuses related to edge processing of sensor data using a neural network to reduce network traffic to and/or from a server. In one approach, a cloud server processes sensor data from a vehicle using an artificial neural network (ANN). The ANN has several layers. Based on analyzing at least one characteristic of the sensor data received from the vehicle and/or a context associated with processing the sensor data, the cloud server determines to send one or more of the layers of the ANN for edge processing on the vehicle itself. In other cases, the cloud server decides to send the one or more layers to an edge server device located on a communication path between the vehicle and the cloud server. The edge processing reduces network data traffic.

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 a model partition configured to store model data of the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the model partition can be configured for read, infrequent updates, improved storage capacity, and/or for access in parallel with input/output for the ANN.

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 input partition configured to store input data to 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 enhanced endurance, cyclic sequential overwrite of a continuous input stream.

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.

Abstract: An apparatus for preparing fruit includes a main housing with a cutting area containing a cutting assembly and a drive assembly, a removable cup assembly for inserting the fruit into the apparatus, and a removable drawer and tray for removing cut pieces of fruit from the apparatus after a cutting operation. The apparatus includes a rinsing assembly for cleaning the fruit and the cutting assembly, and a deflector configured to route cut pieces of fruit into the tray and waste material through a disposal outlet. The cutting assembly is configured to perform one or more cutting operations depending on the type of fruit detected in the cup assembly: wedging for apples, lemons, limes, and pears, and cutting/peeling for oranges and grapefruits. The apparatus quickly prepares various fruits for consumption without requiring an operator to touch the cut pieces of fruit.

Abstract: A vehicle having one or more cameras, configured to record one or more images of a person approaching the vehicle. The camera(s) can be configured to send biometric data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the person based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to determine whether to notify a driver of the vehicle of the risk score based on the risk score exceeding a risk threshold. The vehicle can also include a user interface, configured to output the risk score to notify the driver when the computing system determines the risk score exceeds the risk threshold.

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: Matching healthcare groups and healthcare systems based on billed claims and calculating capture of billed procedures for healthcare groups and systems. A method includes identifying one or more office practitioners billing carrier claims comprising a certain office billing identifier and identifying one or more procedure practitioners associated with facility claims for procedures performed under a certain procedure billing identifier. The method includes identifying a common practitioner billing carrier claims comprising the certain office billing identifier and associated with facility claims for procedures performed under the certain procedure billing identifier. The method includes generating an office-procedure pair by matching the certain office billing identifier with the certain procedure billing identifier based on an existence of the common practitioner.

Abstract: A semiconductor package is provided. The semiconductor package includes a segmented inset lid that is divided into a primary component and one or more secondary components, with each secondary component being coupled to the primary component by a compliant liquid-tight adhesive; wherein the primary component is a continuous region including i) a first surface, ii) a second surface, and iii) a boundary surface, the first surface including one or more integrated heat sink surfaces or one or more routing features to promote coolant distribution, the second surface contacting one or more semiconductor dies, and the boundary surface forming a sealing surface with a semiconductor substrate; wherein each secondary component contacts at least one other semiconductor die and forms a water-tight seal with the primary component; and a removable flow cover coupled with the segmented inset lid to form a seal along the boundary surface.

Abstract: An apparatus for preparing fruit includes a main housing with a cutting area containing a cutting assembly and a drive assembly, a removable cup assembly for inserting the fruit into the apparatus, and a removable drawer and tray for removing cut pieces of fruit from the apparatus after a cutting operation. The apparatus includes a rinsing assembly for cleaning the fruit and the cutting assembly, and a deflector configured to route cut pieces of fruit into the tray and waste material through a disposal outlet. The cutting assembly is configured to perform one or more cutting operations depending on the type of fruit detected in the cup assembly: wedging for apples, lemons, limes, and pears, and cutting/peeling for oranges and grapefruits. The apparatus quickly prepares various fruits for consumption without requiring an operator to touch the cut pieces of fruit.

Abstract: Systems, methods and apparatus of intelligent wear-leveling with reduced write-amplification for data storage devices configured on autonomous vehicles. For example, a data storage device of a vehicle includes: storage media components; a controller configured to store data into and retrieve data from the storage media components according to commands received in the data storage device; an address map configured to map between: logical addresses specified in the commands received in the data storage device, and physical addresses of memory cells in the storage media components; and an artificial neural network configured to receive, as input and as a function of time, operating parameters indicative a data access pattern, and generate, based on the input, a prediction to determine an optimized operation for wear leveling among memory cells in the data storage device. The controller is configured to perform the optimized operation for wear leveling based on the prediction.

Abstract: Determining cohesion of healthcare systems and facilities based on billed claims. A method includes determining a target procedure billing identifier associated with one or more of a healthcare system or a healthcare facility and identifying a practitioner associated with a facility claim comprising the target procedure billing identifier. The method includes identifying a plurality of facility claims billed by the practitioner over a time period and calculating a proportion of the plurality of facility claims that comprise the target procedure billing identifier.

Abstract: The subject application relates to monitoring of drive by wire sensors in vehicles. Systems, methods and apparatuses of predictive maintenance of drive by wire systems of vehicles are provided. For example, a data storage device is configured in a vehicle to receive and store sensor data from at least one drive by wire system of the vehicle. During a period in which the vehicle is assumed to be operating normally, the sensor data stored in the data storage device is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, using the trained artificial neural network, the data storage device determines whether operations of the at least one drive by wire system are abnormal based on the sensor data. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the at least one drive by wire system are abnormal according to the artificial neural network.

Abstract: A driver recognition system of a vehicle identifies a person approaching the vehicle as a driver or other user. In one approach, the driver recognition system collects data using one or more cameras of the vehicle. The collected data corresponds to the person approaching the vehicle. Based on the collected data, a computing device determines (e.g., using a machine-learning model) whether the person is a user (e.g., driver) associated with the vehicle. If the person is a user associated with the vehicle, then the computing device causes one or more actions to be performed for the vehicle (e.g., controller configuration, boot up of a computing device, updating software using over-the-air update, etc.).

Abstract: Systems, methods and apparatus of climate control in vehicle cabins where occupants of vehicles are located/seated. For example, a vehicle includes: a climate control system; and an artificial neural network configured to receive climate control input parameters and generate, based on the climate control input parameters as a function of time, predictions of setting adjustments for the climate control system. For example, the climate control input parameters can include at least one setting of the climate control system and at least one operating parameter of the vehicle; and the vehicle is configured to effectuate an adjustment of the climate control system based at least in part on the predictions generated by the artificial neural network.

Abstract: A vehicle having one or more cameras, configured to record one or more images of a person approaching the vehicle. The camera(s) can be configured to send biometric data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the person based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to determine whether to notify a driver of the vehicle of the risk score based on the risk score exceeding a risk threshold. The vehicle can also include a user interface, configured to output the risk score to notify the driver when the computing system determines the risk score exceeds the risk threshold.

Abstract: Systems and methods for selecting content based on an event associated with a device identifier are provided. One or more processors can receive a request to serve content. The processors can identify a device identifier associated with the request. The processors can determine, from the device identifier, an event for which to serve content. The processors can determine, from the request, a length of time between a time the request to serve content is received and a time at which the event is scheduled to occur. The processors can select, based on the determined length of time and event parameters associated with the event, content for display and provide the selected content for display at a computing device associated with the device identifier.