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: 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: 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: 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.

Abstract: A wireless charging device is disclosed. The wireless charging device includes a transmitter detection coil configured to receive a first alternating current (AC) voltage signal having a characteristic associated with a receiver device. Also, the wireless charging device includes a control unit coupled to the transmitter detection coil and configured to detect the receiver device based on the characteristic of the first AC voltage signal. Further, the wireless charging device includes a driver unit coupled to the control unit and configured to convert a direct current (DC) voltage signal of an input power to a second AC voltage signal if the receiver device is detected. In addition, the wireless charging device includes a power transmission coil configured to wirelessly transmit the second AC voltage signal to the receiver device.

Abstract: The present disclosure is directed to systems and methods for transport resource allocation using a centralized control policy, the methods including the steps of receiving node characteristics associated with a plurality of nodes; receiving a centralized policy configuration associated with at least one control policy to be applied based on a set of match conditions; identifying a one or more nodes from the plurality of nodes that satisfy, or that are associated with one or more tunnels that satisfy, the set of match conditions; and applying the at least one control policy to the one or more nodes that satisfy, or to the one or more tunnels that satisfy, the set of match conditions, wherein the at least one control policy is configured to override at least one locally-configured bidirectional forwarding detection (BFD) timer; and/or set a maximum number of tunnels for provisioning at the identified one or more nodes.

Abstract: An adapter board is described having a substrate having a width, a length and a depth and at least one electrical component placed one of within the substrate and on a surface of the substrate. The adapter board may also have a first pad positioned on the substrate, the first pad connected to the at least one electrical component through a first via. The adapter board may also have a second pad positioned on the substrate, the second pad connected to the at least one electrical component through a second via, wherein at least a portion of the adapter board is configured through an additive manufacturing process and wherein the substrate is configured to be installed within a downhole tool.

Abstract: A system and a method for adjusting brightness of a content are provided.

Abstract: A system for retrieving information from an instructional document, includes a processor configured to: receive a query from a user; compare the query with one or more text sections in the instructional document; obtain, from the one or more text sections, top x text sections relevant to the query using a pre-trained encoder; compare the query with one or more images in the instructional document; obtain, from the images, top y images relevant to the query; generate top y image-text sections based on the top y images; obtain top k sections from the top x text sections and the top y image-text sections; obtain one or more most relevant sections from the top k sections using a domain-specific pre-trained encoder and a sequential classification model; and generate an answer based on the one or more most relevant sections and device context information using the domain-specific pre-trained encoder.

Abstract: One embodiment provides a computer implemented method, including: receiving interaction logs of a plurality of services of an application running on a system; generating an interaction graph identifying interactions between at least the at least one of the plurality of services and other of the plurality of services, wherein the identifying comprises identifying a frequency of interactions between services; determining constraints between at least the at least one of the plurality of services and the other of the plurality of services, wherein the constraints identify services that are dependent upon other services of the plurality of services and a compatibility of services with respect to other services of the plurality of services; and creating a remediation plan for updating the at least one of the plurality of services, wherein the remediation plan identifies a time for updating the at least one of the plurality of services.