Abstract: Systems and methods are provided for controlling one or more brakes of the vehicle. The system may include a processor and a memory in communication with the processor with a brake control module. The brake control module includes instructions that, when executed by the processor, cause the processor to control the one or more brakes of the vehicle when the vehicle is in a first mode using a brake-by-wire system. When the vehicle is in a second mode, control the brake-by-wire system such that the one or more brakes of the vehicle are controlled using a mechanical braking system and the brake-by-wire system.

Abstract: Systems and methods of controlling a vehicle in a stable drift are provided. With the goal of enhancing the driver experience, the disclosed drift control systems provide an interactive drift driving experience for the driver of a vehicle. In some embodiments, a driver is allowed to take manual control of a vehicle after a stable drift is initiated. For safety reasons, an assisted driving system may provide corrective assistance to prevent the vehicle from entering an unstable/unsafe drift. In other embodiments, an autonomous driving system retains control of the vehicle throughout the drift. However, the driver may perform “simulated drift maneuvers” such as counter-steering, and clutch kicking in order to communicate their desire to drift more or less aggressively. Accordingly, the autonomous driving system will effectuate the driver's communicated desire in a manner that keeps the vehicle in a safe/stable drift.

Abstract: Methods, systems, and computer-readable media for a service for managing quantum computing resources are disclosed. A task management service receives a description of a task specified by a client. From a pool of computing resources of a provider network, the service selects a quantum computing resource for implementation of the task. The quantum computing resource comprises a plurality of quantum bits. The service causes the quantum computing resource to run a quantum algorithm associated with the task. The service receives one or more results of the quantum algorithm from the quantum computing resource.

Abstract: Systems and methods of trajectory planning for an autonomous vehicle are disclosed. Exemplary implementations may: determine a first trajectory plan for the vehicle traveling along a first spatial location at a first point in time, the first trajectory plan being a reference trajectory plan; compute an optimal sequence for the vehicle traveling along a second spatial location at a second point in time subsequent the first point in time; and calculate a second trajectory plan for the vehicle by updating the first trajectory plan with information from the computed optimal sequence.

Abstract: Provided herein are energy storage devices. In some cases, the energy storage devices are capable of being transported on a vehicle and storing a large amount of energy. An energy storage device is provided comprising at least one liquid metal electrode, an energy storage capacity of at least about 1 MWh and a response time less than or equal to about 100 milliseconds (ms).

Abstract: An example method is provided for maintaining stability to an injury defined by a separation of two bones (e.g., the tibia and fibula), the separation being an injured distance greater than a pre-injury distance between the two bones in a first human patient. The method may include delivering a first apparatus for approximation of the two bones in the first human patient comprising the injury, the first apparatus including a flexible segment disposed between a first anchor and a second anchor. The method may further include maintaining, by the first apparatus, a restored distance between the two bones in the first human patient after a repetitive dynamic loading, the restored distance approximately equal to the pre-injury distance.

Abstract: A system and method for extracting data from an electronic health record to provide provider and patient data similarity scoring includes: encoding a problem list for a plurality of patients with concepts from a common electronic health record ontology. In one aspect, the patients have electronic health records maintained by a plurality of providers. The system and method then may parse the concepts into a plurality of clusters or categories and determining, for each of the providers, a total number of patients that have at least one problem in a cluster or category or determining, for each patient, which of the plurality of clusters or categories correspond to at least one concept encoded in the patient's problem list. The system and method then may calculate for each pair of providers or patients, a distance between the providers or patients.

Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more application traces performed by the user interacting with the computing device, each application trace corresponding to one of the one or more tasks performed by the user; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Corresponding systems and computer program products are also described.

Abstract: Configurations for data center component monitoring are disclosed. In at least one embodiment, movement of a server component is determined based on sensor data and the movement is used to diagnose a root cause for a server component failure.

Abstract: Systems and methods are provided for dynamic driver training, and may include: a communication interface to receive sensor data, the sensor data comprising driver biometric data and driver performance data for a driver operating a vehicle; a driver inference circuit to infer a skill level and emotional state of the driver operating the vehicle; and a driver training circuit to, based on the inferred skill level and emotional state of the driver operating the vehicle, dynamically adjust a driver training level for the driver while the driver is operating the vehicle.

Abstract: System, methods, and other embodiments described herein relate to adjusting a prediction model for control at handling limits associated with a projected trajectory during automated driving. In one embodiment, a method includes adjusting parameters of a prediction model using friction estimates and sideslip costs associated with a projected trajectory of a vehicle, the friction estimates being derived from Kalman filtering. The method also includes scaling, using the prediction model, handling limits of the vehicle for the projected trajectory according to a friction circle. The method also includes generating, by the prediction model, vehicle dynamics using a load transfer and a brake distribution, the vehicle dynamics being associated with estimated road conditions and the handling limits. The method also includes outputting, by the prediction model using the vehicle dynamics, a driving command to the vehicle for the projected trajectory.

Abstract: Embodiments disclosed herein include methods of depositing a metal oxo photoresist using dry deposition processes. In an embodiment, the method comprises forming a first metal oxo film on the substrate with a first vapor phase process including a first metal precursor vapor and a first oxidant vapor, and forming a second metal oxo film over the first metal oxo film with a second vapor phase process including a second metal precursor vapor and a second oxidant vapor.

Abstract: A fiber enclosure includes a closure body, a lid removably coupled to the closure body, and a plurality of clamps coupling the lid to the closure body. The lid includes a lid body, a lid lip extending from the lid body between each of the plurality of clamps, and a plurality of lid ribs connecting the lid lip and the lid body thereby providing a lid reinforcement between each adjacent clamp. The closure body includes an upper body portion, a closure body lip extending from the upper body portion between each of the plurality of clamps, and a plurality of body ribs connecting the closure body lip and the upper body portion, thereby providing a closure body reinforcement between each of the adjacent clamps.

Abstract: Systems and methods of controlling a vehicle in a stable drift are provided. With the goal of enhancing the driver experience, the disclosed drift control systems provide an interactive drift driving experience for the driver of a vehicle. In some embodiments, a driver is allowed to take manual control of a vehicle after a stable drift is initiated. For safety reasons, an assisted driving system may provide corrective assistance to prevent the vehicle from entering an unstable/unsafe drift. In other embodiments, an autonomous driving system retains control of the vehicle throughout the drift. However, the driver may perform “simulated drift maneuvers” such as counter-steering, and clutch kicking in order to communicate their desire to drift more or less aggressively. Accordingly, the autonomous driving system will effectuate the driver's communicated desire in a manner that keeps the vehicle in a safe/stable drift.

Abstract: An apparatus to treat, inhibit, or prevent an eye condition in a patient can include a cover, sized and shaped to fit over an eye of a patient to define a cavity between the cover and an anterior surface of the eye when the cover is located over the patient eye. The apparatus can include a pressure source, in communication with the cavity, capable of applying non-ambient pressure in the cavity. The apparatus can include control circuitry, in communication with the pressure source, configured to vary non-ambient pressure applied to the cavity to affect a targeted pressure relationship between an indication of a first physiological pressure level and a second physiological pressure level associated with the eye of the patient.

Abstract: Aspects of the present disclosure relate to machine learning-based graph analytics for account evaluation. In examples, information associated with a user is stored in a graph datastore, which may include one or more account nodes and associated transaction nodes. Nodes within the graph datastore may be associated using edges that include identification information for an associated user. Accordingly, it may be possible to identify a subpart of the graph associated with a user that includes associated user identifiers and historical activity, which may be processed to generate a feature vector. The feature vector may be processed using a machine learning model to generate a set of reputation metrics for the user. The resulting set of reputation metrics may thus be used to determine whether to permit access to a resource or service by the user, or whether the user is permitted to create a new account, among other examples.

Abstract: A system for training an operator of a vehicle includes a processor and a memory in communication with the processor, which includes a safety module and a training module. The safety module has instructions that, when executed by the processor, cause the processor to determine when the vehicle is operating within a safe area based on at least one of: a location of the vehicle and a location of one or more objects with respect to the vehicle. The training module has instructions that, when executed by the processor, cause the processor to apply at least one brake of the vehicle when the vehicle is operating within the safe area to cause the vehicle to engage in an oversteer event, and collect operator response information when the vehicle engages in the oversteer event.

Abstract: Systems and methods for controlling a vehicle may include receiving sensor data from a plurality of sensors, the sensor data including vehicle parameter information for the vehicle; using the sensor data to determine a vehicle state for a vehicle negotiating a corner, wherein the vehicle state comprises information regarding a magnitude of an effective understeer gradient for the vehicle; computing a yaw moment required to correct the effective understeer gradient based on the magnitude of the effective understeer gradient; and applying a brake torque to a single wheel of the vehicle, wherein an amount of brake torque applied is sufficient to lock up the single wheel to create a yaw moment on the vehicle to achieve the computed yaw moment required to correct the effective understeer gradient.

Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more individual traces performed by the user interacting with the computing device, each trace corresponding to a particular task; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Further aspects building upon the above include generating RPA models to perform tasks determined to be processes for RPA. Corresponding systems and computer program products are also described.