Abstract: A method triggers a user-definable emergency response in a voice-command based authentication system. The method receives gestures on a mobile device, and provides an interface at the mobile device to trigger an automatic interaction with an artificial intelligence (“AI”) engine stored on the mobile device. The AI accesses a database for storing legacy information associated with the caller and runs an application program interface that provides the AI engine access to the legacy information. The AI engine receives the gestures generated by the caller, accesses the database storing legacy information generated by the caller and constructs an emergency profile of the caller. The emergency profile may be based on the legacy information, a machine learning model; and/or a user training session that initializes an emergency response signal threshold level. When the gestures exceed the emergency response signal threshold level, the method may generate the emergency response.

Abstract: Machine-learning-aided automatic taxonomy for web data. In an embodiment, a training dataset of annotated features is used to train a model to predict a class in a taxonomy of web-based activities. The features may be derived from a uniform resource locator (URL) of an online resource and associated metadata. During operation, the features may be extracted from the URL and metadata of each activity record in web data. The trained model may be applied to the extracted features for each activity record to predict a class within the taxonomy. The predicted taxonomic class may be stored in association with the URL that was extracted from the activity record to produce a taxonomized URL.

Abstract: A method for integrating a machine learning (ML) model that impacts different factor groups for generating a dynamic recommendation to collectively optimize an objective factor is provided.

Abstract: An example system including a vehicle having a multi-zone network comprising a plurality of network zones, each one of the network zones comprising at least one zone manager; and a service management controller, including a service registration circuit structured to maintain a service register; a service publication circuit structured to expose at least one service; a service subscription circuit structured to enroll a requestor source; a network management controller, including a zone implementation circuit structured to interpret a zoned architecture communication scheme; a zone manager command circuit structured to interpret a zone manager command description; and a zone execution circuit structured to provide the corresponding zone manager command description to each of the at least one zone managers; and wherein each of the at least one zone managers is responsive to the corresponding zone manager command description and the service register to control communications.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: A deployment request is received for a plurality of clusters within a plurality cloud computing environments. The deployment request relates to one or more operational actions for computing devices associated with the plurality of clusters. The plurality of clusters is associated with a single application programming interface (API). A set of standards are received for the plurality of clusters from the API. The plurality of clusters is configured according to the set of standards to create a configured plurality of clusters. The configured plurality of clusters are deployed within the plurality of cloud computing environments.

Abstract: An adaptive prefetcher for a shared system cache of a processing system including multiple requestors having a cache miss monitor and a prefetch controller. The cache miss monitor monitors requests for information from memory and identifies one of the requestors for which an identified cache line is requested. The prefetch controller submits an adaptive request for a subsequent cache line. The subsequent cache line may be determined based on a latency comparison between a loop latency (LL) of the prefetch controller and a stream latency (SL) of the identified requestor. A latency memory may be included that stores stream latencies for the requestors. The latency comparison may be used to determine how many cache lines to skip relative to the identified cache line, such as according to SL*SK<LL?SL*(SK+1) in which SK is the number of cache lines to skip.

Abstract: A method for time sensitive network (TSN) operation includes: in the case of data traffic stoppage in a communication channel of TSN due to at least one of down time of a user plane (UP) connection and a reset of the UP connection, performing the following: generating, by a user plane function (UPF), an audit report about the at least one of the down time and the reset; sending, by the UPF, the audit report to a first element in control plane (CP), without waiting for communication from the CP; and determining, by one of the first element or a second element in the CP, survival time of the communication channel. The audit report is sent along with a report type indicating the down time of the UP connection due to connection fluctuation or a switch-over of the UP connection from a primary UPF to a back-up UPF.

Abstract: A battery charger includes a battery power regulator configured to set a charge signal provided to a battery based on a charge control signal and charge enable signal. The battery charger also includes a controller configured to provide the charge control signal to the battery power regulator. The controller is also configured to temporarily de-assert the charge enable signal for a predetermined amount of time in response to determining that a change is needed in the charge control signal. The controller is further configured to re-assert the charge enable signal after the predetermined amount of time.

Abstract: Systems, methods, and computer program products are provided for efficiently storing multi-threaded log data. A method includes receiving multi-threaded log data comprising logs, markers, and thread identifiers. For each respective log, the respective thread identifier is set as a most recently used item in a thread reference cache. A respective log cache in a map data structure is determined based on the respective thread identifier. The respective log is added to the respective log cache. Whether to communicate the respective log and/or the respective log cache to a first repository is determined based on the respective marker. The respective log is communicated to a second repository. Whether to remove an oldest log from the log cache is determined based on a log cache size limit and/or a time limit. Whether to remove a least recently used log cache is determined based on at least one map data structure size limit.

Abstract: Battery management techniques for a vehicle include a set of sensors configured to measure a set of parameters of a battery of the vehicle and a controller configured to control recharging of the battery to a first target state of charge (SOC) corresponding to optimized battery life when a mileage of the vehicle is less than a threshold mileage corresponding to an expected transport period of the vehicle, wherein controlling the recharging of the battery to the first target SOC prevents battery malfunctions and thereby reduces vehicle warranty costs for an original equipment manufacturer (OEM) of the vehicle, and control recharging of the battery to a second target SOC determined by a cost-based optimization technique when the mileage of the vehicle reaches the threshold mileage.

Abstract: Techniques for dynamically determining a configuration file are described. In an example, a system receives, from a device, a request for first content to be presented by the device. The system determines metadata of the first content and a cue point indicating a start of a segment in which second content can be presented by the device. Based on the metadata and subsequent to the request, the system determines a configuration of the segment. The configuration includes: a duration of the segment, a sequence of slots in the segment, and/or a content duration usable in a slot of the segment. The system generates a configuration file that includes the metadata and the configuration, determines the second content based at least in part on the configuration file, and sends data about the first content and the second content to the device.

Abstract: Certain aspects of the present disclosure provide techniques for handover timelines and power optimization for user equipment (UE) in multiple subscriber identity module (MSIM) dual receive (DR) scenarios. An example method, performed by a UE, includes entering a DR mode in which a first subscriber identity module (SIM) is active in a first radio access technology (RAT) and a second SIM is idle in a second RAT, identifying one or more channel frequencies, of a neighbor channel frequency list, that are incompatible with the DR mode, and performing a channel measurement procedure with the second SIM, on a subset of the neighbor channel frequency list that does not include the one or more channel frequencies that are incompatible with the DR mode.

Abstract: Techniques are disclosed to use robotic system simulation to control a robotic system. In various embodiments, a communication indicating an action to be performed by a robotic element is received from a robotic control system. Performance of the action by the robotic element is simulated. A state tracking data is updated to reflect a virtual change to one or more state variables as a result of simulated performance of the action. Successful completion of the action by the robotic element is reported to the robotic control system.

Abstract: A system and method for optimizing pre-departure sequencing instantiates independent agent processes for each aircraft. Each independent agent is trained via multi-agent reinforcement machine learning with an existing set of data to maximize that agent's individual reward within established bounds and while cooperating with each other agent. The interaction of the independent agents produces an optimized pre-departure sequence. The individual reward is defined with respect to a change between the current timestamp and the newly suggested timestamp. A lower delta results in a higher reward.

Abstract: Systems and methods for controlling a cruise control system of a vehicle using the moods of one or more occupants are described herein. In one example, a system includes a processor and a memory in communication with the processor. The memory includes instructions that, when executed by the processor, cause the processor to determine, using a mood model, the mood of at least one occupant of a vehicle and a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle based on the determined mood. The instructions then cause the processor to set the cruise control to operate according to the setting.

Abstract: An active road surface maintenance system and method developed for connected vehicles with the aid of a mobility digital twin (MDT) framework. A method performed in a cloud-based digital space includes receiving data regarding a physical object from a physical space connected to a vehicle. The method also includes processing the data using machine learning to model road surface conditions, in which respective penalty values are assigned to corresponding road surfaces, a respective penalty value being higher the lower a condition of the corresponding road surface. The method also includes deriving instructions based on the modeled road surface conditions and the respective penalty values to guide actuation of the vehicle along a trajectory. The method further includes transmitting the instructions to the physical space connected to the vehicle to guide actuation of the vehicle.

Abstract: Method for emptying an SCR supply system, wherein the SCR supply system comprises a pump with a pump chamber and an actively controllable inlet valve and an actively controllable outlet valve, wherein an emptying process of the SCR supply system is detected and controlled as a function of the pressure curve in negative pressure phases and/or criteria determined in pressure release phases.

Abstract: Systems and methods for capturing sentiments and delivering elevated proactive user experience are disclosed.

Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.