Abstract: An aspect of the present disclosure facilitates performance of node management actions in a computing infrastructure having diverse node interfaces. In one embodiment, a configuration data is maintained, the configuration data specifying plugins designed to communicate with different node interfaces installed on the nodes of a computing infrastructure. The plugins are corresponding implementations of a common client interface. Upon receiving from the client application, via the common client interface, a management action to be performed on a desired node, the configuration data is inspected to identify a specific plugin corresponding to the node interface installed on the desired node. The node management action is then performed on the desired node using the identified specific plugin. Accordingly, the client application can be implemented agnostic to the specific node interfaces installed on a node.

Abstract: Various embodiments for authenticating a product associated with a batch production are disclosed. Embodiments disclosed involve scanning a tag affixed on the product and operating a processor to retrieve product identification information which includes an encrypted first chain identifier. The processor then identifies a smart contract for authenticating the product, retrieves from a genesis record stored on the blockchain a batch creation time for the product, and transmits to the smart contract, information to decrypt the smart contract to obtain a second decryption key fragment. The processor then decrypts the first chain identifier using the first decryption key fragment and the second decryption key fragment and determines whether the product is authentic based on a comparison of the batch creation times included in the first chain identifier and the genesis record. Various embodiments for generating tag information for tags affixable to products associated with a batch production are also disclosed.

Abstract: The present invention is a liquid pharmaceutical formulation of clonidine hydrochloride. The present invention also a liquid pharmaceutical formulation of clonidine hydrochloride comprising clonidine hydrochloride, preservative, sweetener and a suitable vehicle, wherein the formulation is free of buffer. The present invention also a liquid pharmaceutical formulation of clonidine hydrochloride and process of preparing the same.

Abstract: A diode and method of design the layout of the same having reduced parasitic capacitance is disclosed. In particular, the diode for providing fast response protection of an RF circuit from a high power noise event, such as an ESD, voltage spike, power surge or other noise is disclose. The parasitic capacitance in disclosed circuit is a greatly reduced compared to the prior art, thus significantly increasing the speed of the response to dissipate all high power noise events.

Abstract: A method according to the present disclosure may include providing an embedded service in an application, in response to receiving an input via the embedded service, determining an applicable module of a plurality of modules based on a characteristic of at least one of the input or of the embedded service, processing the input via the applicable module, and controlling the application based on the processed input. Another method according to the present disclosure may include providing an embedded service in an application, training a monitoring model via federated learning based on data derived locally from the application, monitoring, via the trained monitoring model, a plurality of interactions with the embedded service, determining, by the trained monitoring model, that at least one of the plurality of interactions comprises an anomalous interaction, and in response to the determination, restricting further usage of the application.

Abstract: A method according to the present disclosure may include providing an embedded service in an application, in response to receiving an input via the embedded service, determining an applicable module of a plurality of modules based on a characteristic of at least one of the input or of the embedded service, processing the input via the applicable module, and controlling the application based on the processed input. Another method according to the present disclosure may include providing an embedded service in an application, training a monitoring model via federated learning based on data derived locally from the application, monitoring, via the trained monitoring model, a plurality of interactions with the embedded service, determining, by the trained monitoring model, that at least one of the plurality of interactions comprises an anomalous interaction, and in response to the determination, restricting further usage of the application.

Abstract: A method includes coordinating at a first system in an online mode: analyzing at least a portion of a search query using one or more query suggestion systems to determine scores for suggested search queries from the one or more query suggestion systems.

Abstract: Existing approaches for processing and evaluation of documents containing non-fiction narrative texts have the disadvantage that they are comparatively less studied in linguistics, and hence do not provide sufficient data required for evaluations. Method and system are for evaluating non-fiction narrative text documents are provided. The system processes a plurality of non-fiction narrative text documents and computes a plurality of corpus statistics. The plurality of corpus statistics is then used for evaluation of any non-fiction narrative text document that may or may not be collected as real-time input.

Abstract: Depth estimation of images using deep learning methods is a wide range of application in Augmented Reality, 3D graphics and robotics. Conventional methods are supervised, which requires explicit ground truth depth information for training and the conventional unsupervised methods fails to provide a generalized solution. The present disclosure estimates accurate depth information and confidence map of a given monocular image in an unsupervised manner. A depth Neural Network receives a monocular image and predicts per-pixel depth map and a confidence map. The depth NN utilizes a negative exponential of photometric loss as ground truth information. The predicted confidence-map is further used to estimate per-pixel uncertainty map. The pose NN predicts a plurality of pose vectors between a plurality of the consecutive monocular images. Finally, the Bayesian inference module is computes the fused depth information and the fused uncertainty map.

Abstract: Techniques are described herein that are capable of performing metadata extraction based on resource attributes and user-defined policy and topology. A hierarchical resource-grouping construct, which is selected from hierarchical resource-grouping constructs in a user-defined hierarchical resource-grouping topology of a cloud computing service account, is registered by enumerating at least a subset of the constructs. The subset includes the selected construct and each other construct encompassed by the selected construct. Metadata is selectively extracted from the constructs that are included in the subset to provide extracted metadata based at least in part on one or more user-defined policies, which are assigned among the constructs that are included in the subset, indicating whether the metadata is to be extracted as a result of resources associated with the constructs included in the subset having specified attributes. A searchable catalog is generated that includes the extracted metadata.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: Techniques are described herein that are capable of performing metadata extraction based on resource attributes and user-defined policy and topology. A hierarchical resource-grouping construct, which is selected from hierarchical resource-grouping constructs in a user-defined hierarchical resource-grouping topology of a cloud computing service account, is registered by enumerating at least a subset of the constructs. The subset includes the selected construct and each other construct encompassed by the selected construct. Metadata is selectively extracted from the constructs that are included in the subset to provide extracted metadata based at least in part on one or more user-defined policies, which are assigned among the constructs that are included in the subset, indicating whether the metadata is to be extracted as a result of resources associated with the constructs included in the subset having specified attributes. A searchable catalog is generated that includes the extracted metadata.

Abstract: Techniques are disclosed relating to receiving, by a computer system from a user, a request to authorize the user. The technique may further include receiving, by the computer system, a live video stream of the user, and requesting, by the computer system, the user to submit an identification document from a list of authorized identification documents. While the user submits the identification document, the technique may also include detecting liveliness of the user in the live video stream by using a gesture recognition operation. Additionally, the technique may include determining, using the submitted identification document and the detected liveliness, whether to proceed with the request to authorize the user.

Abstract: A climate-control system may include a first compressor, a second compressor, a suction manifold, and a flow restrictor. The first and second compressors each include a shell and a compression mechanism. The shells define suction chambers from which the compression mechanisms draw working fluid. The shells include suction inlet fittings through which working fluid is drawn into the suction chambers. The suction inlet fittings are fluidly connected to the suction manifold. The suction manifold provides suction-pressure working fluid to the suction inlet fittings of the first and second compressors. The flow restrictor may be at least partially disposed within the suction manifold.

Abstract: A system including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; building a customer journey graph based on the historical in-session user activity information; generating suggested queries based on the customer journey graph; and in response to identifying an input query for a user session of a user: re-ranking the suggested queries; and displaying the suggested queries, as re-ranked, to the user via a graphical user interface (GUI). Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: The present disclosure provides an adaptive meta-learning technique for determining robotic action. Conventional methods are focusing on task-relevant aspects of the input observations and fails to provide adaptive learning. Initially, a plurality of images pertaining to a visual demonstration for a robot are received by the system. Further, a plurality of vector embeddings are computed based on the plurality of images using an attentive embedding network. The attentive embedding network includes a first Convolutional Neural Network (CNN), a fully connected layer and a plurality of spatial attention modules. Finally, a control action is computed based on the plurality of vector embeddings, an image from the plurality of images, a robot joint state vector and robot joint velocity vector using a control network. The control network comprises a second CNN and a plurality of fully connected layers. The control network is connected to the attentive embedding using multiplicative spatial skip connections.

Abstract: Processing of a neural network specification includes gathering first layers of a neural network graph into groups of layers based on profiled compute times of the layers and equalized compute times between the groups. Each group is a subgraph of one or more of the layers of the neural network. The neural network graph is compiled into instructions for pipelined execution of the neural network graph by compute circuits. The compiling includes designating, for each first subgraph of the subgraphs having output activations that are input activations of a second subgraph of the subgraphs, operations of the first subgraph to be performed by a first compute circuit and operations of the second subgraph to be performed by a second compute circuit. The compute circuits are configured to execute the instructions.

Abstract: Embodiments disclosed herein provide for methods and systems for providing an enterprise synthetic monitoring framework, wherein the enterprise synthetic monitoring framework is configured to provide exhaustive end-to-end monitoring for a variety of applications and workflows including those that are browser and non-browser based, those that are implemented on mobile devices, and those that are implemented utilizing native protocols.

Abstract: Memory usage can be optimized during an imaging process to enable larger-sized deployments and client servicing. A variety of components can be employed on a computing device to present a hybrid virtual volume to the operating system during an imaging process. The hybrid virtual volume will appear to the operating system as having a large size while consuming minimal amounts of memory and disk. As a result, the risk of the imaging process failing for lack of resources will be minimized even when the image is large.