Abstract: A system for training a machine learning framework to estimate depths of objects captured in 2-D images includes a first trained machine learning network and a second untrained or minimally trained machine learning framework. The first trained machine learning network is configured to analyze 2-D images of target spaces including target objects and to provide output indicative of 3-D positions of the target objects in the target spaces. The second machine learning network can be configured to provide an output responsive to receiving a 2-D input image. A comparator receives the outputs from the first and second machine learning networks based on a particular 2-D image. The comparator compares the output of the first trained machine learning network with the output of the second machine learning network. A feedback mechanism is operative to alter the second machine learning network based at least in part on the output of the comparator.

Abstract: An exhaust aftertreatment system includes a catalyst, an exhaust conduit system, a first sensor, a second sensor, a reductant pump, a dosing module, and a reductant delivery system controller. The exhaust conduit system is coupled to the catalyst. The first sensor is coupled to the exhaust conduit system upstream of the catalyst and configured to obtain a current first measurement upstream of the catalyst. The second sensor is coupled to the exhaust conduit system downstream of the catalyst and configured to obtain a current second measurement downstream of the catalyst. The reductant pump is configured to draw reductant from a reductant source. The dosing module is fluidly coupled to the reductant pump and configured to selectively provide the reductant from the reductant pump into the exhaust conduit system upstream of the catalyst. The reductant delivery system controller is communicable with the first sensor, the second sensor, the reductant pump, and the dosing module.

Abstract: A system for classifying to apply for a microloan by a user is provided. The system includes user device associated with a user, and loan applying user classification system. The loan applying user classification system 106 collects raw data from at least one of (i) one or more programs on the user device directly; (ii) the one or more programs indirectly through the network or (iii) both. The raw data includes mobile brand, screen height, demographic details, mcc, session timestamp, sessionid, session duration, etc. The loan applying user classification system is configured to (i) pre-process the raw data to obtain pre-processed data; (ii) identify representative set of features (i.e. training dataset) from the pre-processed data; (iii) balance an imbalanced training dataset to obtain balanced dataset; and (iv) generate a classification model using balanced dataset to classify in applying for micro-loan by the user.

Abstract: Scheduling work of a machine learning application includes instantiating kernel objects by a computer processor in response to input of kernel definitions. Each kernel object is of a kernel type indicating a compute circuit. The computer processor generates a graph in a memory. Each node represents a task and specifies an assignment of the task to one or more of the kernel objects, and each edge represents a data dependency. Task queues are created in the memory and assigned to queue tasks represented by the nodes. Kernel objects are assigned to the task queues, and the tasks are enqueued by threads executing the kernel objects, based on assignments of the kernel objects to the task queues and assignments of the tasks to the kernel objects. Tasks are dequeued by the threads, and the compute circuits are activated to initiate processing of the dequeued tasks.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: Disclosed is a system comprised of different points-of-presence (“PoPs”) that provide software defined hybrid private and public networking for different entity sites. A system PoP may establish and/or maintain different network circuits for accessing different destinations or services. The system PoP may receive a tunnel creation request from a particular site, may obtain entity-defined policies that are specified for the particular site, and may establish a particular network tunnel to the particular site. The system PoP may then route egress traffic with a first classification through a first network circuit with a different quality of service (“QoS”) than egress traffic with a second classification according to the policies. Similarly, the system PoP may route ingress traffic arriving over the first network circuit through the particular network tunnel with a different QoS than ingress traffic arriving over the second network circuit according to the policies.

Abstract: An electronic lock can enter a lockdown mode in response to a lockdown command comprising a mechanical command, e.g. a button or door handle being pressed on the lock in a predefined time-series sequence, or touching the lock in a time-series sequence). Alternatively, an audio or visual command can be issued, e.g. saying certain words or making a hand gesture. The lock may require additional authentication before executing the lockdown command, e.g. recognizing an authorized electronic key. Other embodiments are also provided.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: Devices and techniques are generally described for a speech processing routing architecture. In various examples, first data comprising a first feature definition is received. The first feature definition may include a first indication of first source data and first instructions for generating feature data using the first source data. In various examples, the feature data may be generated according to the first feature definition. In some examples, a speech processing system may receive a first request to process a first utterance. The feature data may be retrieved from a non-transitory computer-readable memory. The speech processing system may determine a first skill for processing the first utterance based at least in part on the feature data.

Abstract: Provided is an electronic device comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: detect at least one event of the electronic device operating in a first mechanism; in response to the detected at least one event, operate in a second mechanism; and transmitting screen information of the electronic device to another electronic device for displaying a virtual reality screen at the other electronic device based on the screen information.

Abstract: A shared mobility vehicle hosts a moving “info kiosk” that provides information assistance to potential passengers (or other individuals) and to on-board passenger. The approach is applicable to human-operated vehicles, and a particularly applicable to autonomous vehicles where no human operator is available to provide assistance.

Abstract: Systems and methods for dynamic, hyper context-based microsegmentation are described. In one aspect, span traffic associated with a computing device on a network is processed. Meta data associated with the span traffic is transmitted to a hyper context cloud server. It is determined whether the span traffic meta data matches a policy condition. Responsive to the span traffic meta data matching a policy condition, a policy is triggered. It is determined whether an action associated with the triggered policy is segment. Responsive to determining that the action is segment, a MAC address of the computing device is added to a segment name provided in the policy. The segment name is pushed to one or more enforcement points associated with the network.

Abstract: Techniques are described for machine learning-based generation of target segments is leveraged in a digital medium environment. A segment targeting system generates training data to train a machine learning model to predict strength of correlation between a set of users and a defined demographic. Further, a machine learning model is trained with visit statistics for the users to predict the likelihood that the users will visit a particular digital content platform. Those users with the highest predicted correlation with the defined demographic and the highest likelihood to visit the digital content platform can be selected and placed within a target segment, and digital content targeted to the defined demographic can be delivered to users in the target segment.

Abstract: Computer implemented reconstruction of compliance mapping due to an update in a regulation in the compliance mapping by a computing device includes comparing a first version of a regulation in the compliance mapping to a second, updated version of the first regulation. A change in the second version with respect to the first version is identified. The change may be an added control description, a deleted control description, or an updated control description. Upon determining that the change is an updated control description, the updated control description is analyzed to determine a type of update. The mapping of the regulation is reconstructed based on the change and, if the change is an updated control description, the type of update, using at least one of natural language processing and/or machine learning. The risk of the reconstructed mapping is assessed, and a service owner is notified about the risk of the changes.

Abstract: Systems and methods are provided for bringing a volume of a consistency group (CG) into an in-synchronization (InSync) state while other volumes of the CG remain in the InSync state. According to an example, in order to support recovery from disruptive events in a manner that ensures a zero recovery point objective (RPO) guarantee and insulates an application making use of the CG from adverse impacts, responsive to a triggering event, a Fast Resync process may first be attempted to promptly bring an affected volume back into an in-synchronization (InSync) state from an out of synchronization (OOS) state while allowing other members of the CG to remain in the InSync state. Should the Fast resync process be unsuccessful in bringing the volume back into the InSync state within a predetermined or configurable time threshold, then a second type of resynchronization process may be employed at the CG level.

Abstract: A non-pneumatic tire and wheel assembly which includes a rim, and a spoke ring structure having an inner ring that is mounted on an outer surface of the rim. The inner ring has one or more retention nubs aligned for reception in complementary shaped grooves on the outer surface of the rim, wherein the spoke ring structure has a plurality of spoke members, and an outer tread ring is mounted on the outer circumference of the spoke ring.

Abstract: Aspects of the disclosure relate to apparatus and methods for producing a downhole electrical component, having steps of providing a non-conductive polymer substrate, establishing an active area on the non-conductive polymer substrate, patterning the active area on the non-conductive polymer substrate with a conductive material through an additive manufacturing process and incorporating the patterned non-conductive polymer substrate into a final arrangement.

Abstract: Various embodiments described herein provide for using analysis of a sequence of commands (issued by a host system) to manage a memory command component, such as a read engine or a write engine of a memory system.

Abstract: Configurations for a photonics device with a vertical outcoupler and fabrication operations thereof are disclosed. The photonics device may include an off-cut substrate with a cavity. The cavity may be coated with a buffer layer, which may form the vertical outcoupler. The cavity may be filled with a fill material that provides structural integrity to the cavity. The off-cut substrate may have a first and a second cladding layer above and below it, to provide cladding for the waveguide structure. In some examples, light may propagate through the off-cut substrate and may be received by the outcoupler. The outcoupler may reflect and redirect the light out of the waveguide structure and toward one or more optical elements. The optical element(s) may provide the light to a launch region in a system interface and/or to a sample.