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: 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.

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.

Abstract: A substrate has an active area including first and second doped regions separated by portions of the substrate. Gates are located over the active area, each gate formed extending over a portion of the substrate separating adjacent first and second doped regions. A length of the doped regions is greater than other devices within the substrate that have a same gate oxide thickness. A first metallization layer has first electrical connectors between each of the first doped regions and a gate immediately adjacent thereto, and second electrical connectors connected to each of the second doped regions. A second metallization layer has a first electrical connector connected to each first electrical connector of the first metallization layer, and a second electrical connector connected to each second electrical connector of the first metallization layer, with the second electrical connector of the second metallization layer not overlapping the gates.

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: In an integrated circuit supporting complementary metal oxide semiconductor (CMOS) integrated circuits, latch-up immunity is supported by surrounding a hot n-well with an n-well strap spaced from the hot n-well by a specified distance in accordance with design rules. The n-well strap is positioned between the hot n-well and other n-well or n-type diffusion structures.

Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

Abstract: An integrated circuit includes a high-speed interface configured to communicate with a host system for debugging and a debug hub coupled to the high-speed interface. The debug hub is configured to receive a debug command from the host system as memory mapped data. The integrated circuit also includes a plurality of debug cores coupled to the debug hub. Each debug core is coupled to the debug hub by channels. The debug hub is configured to translate the debug command to a data stream and provide the data stream to a target debug core of the plurality of debug cores based on an address specified by the debug command.

Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

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: 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 relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

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: The water dispensing device of the present invention with the given flow path of water and the control circuit configured store at least two threshold TDS values XA and XB, wherein XA is a higher TDS value than XB; and to drain water from the treatment unit through the drain line, when TDS value sensed is higher than XA, and alternately when the sensed value of TDS is less than XB then direct water from the reject line into the first recycle line; it was seen that the TDS of the output water of the device was in a constant range and the device of the present invention also contributed to minimizing the wastage of water by allowing recycling of water through the reject line of the treatment unit.

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.