Abstract: A computer-implemented method for completing queries propagated across a plurality of datasources that may include receiving a search query comprising a search string via an application user interface. Identity information regarding an end user associated with the search query may also be received. At least one role of the end user may be automatically determined and authorization metadata corresponding to the at least one role may be automatically appended to the search query. A plurality of adapters corresponding to the datasources may be invoked and the appended search query may be passed to the adapters. The appended search query may be translated by the adapters into a plurality of translated search queries according to the syntax and format configurations of the datasources. The translated search queries may be automatically submitted to the corresponding datasources. Responsive results may be automatically received and presented at an end user computing device.

Abstract: A processor in a data processing system includes a master-shadow physical register file and a renaming unit. The master-shadow physical register file has a master storage coupled to shadow storage. The renaming unit is coupled to the master-shadow physical register file. Based on an occurrence of shadow transfer activation conditions verified by the renaming unit, data in the master storage is transferred from the master storage to the shadow storage for storage. Data is transferred from the shadow storage back to the master storage based on the occurrence of a shadow-to-master transfer event, which includes, for example, a flush of the master storage by the processor.

Abstract: An initialization circuit of a delay locked loop (DLL) includes a sense circuit and a control circuit. The sense circuit receives an enable signal, a reference clock signal, and various delayed reference clock signals, and outputs another enable signal. The control circuit receives the two enable signals and outputs and provides a control signal to a loop filter of the DLL to control a delay value associated with the DLL. The control signal is provided to the loop filter such that the delay value associated with the DLL equals a predetermined delay value for a predetermined time duration. Further, after a lapse of the predetermined time duration, the delay value associated with the DLL increases until a difference between a time period of the reference clock signal and the delay value equals a threshold value.

Abstract: Techniques for intelligent proactive template-driven data caching are disclosed. In one embodiment, a method is disclosed comprising receiving notification of input by the user of a user computing device, identifying a user activity corresponding to the user input, using the identified user activity to obtain a template comprising a number of data retrieval operations for the identified activity and timing information indicating, for each data retrieval operation, a corresponding timing for performing the data retrieval operation, performing a data retrieval operation identified by the template to retrieve data item(s) from data storage remote to the user computing device in accordance with the corresponding timing indicated by the template, causing the retrieved data items to be stored in data storage local to the user computing device.

Abstract: A natural language processing system that trains task models for particular natural language tasks programmatically generates additional utterances for inclusion in the training set, based on the existing utterances in the training set and the existing state of a task model as generated from the original (non-augmented) training set. More specifically, the training augmentation module 220 identifies specific textual units of utterances and generates variants of the utterances based on those identified units. The identification is based on determined importances of the textual units to the output of the task model, as well as on task rules that correspond to the natural language task for which the task model is being generated. The generation of the additional utterances improves the quality of the task model without the expense of manual labeling of utterances for training set inclusion.

Abstract: Methods, machine readable media and systems for performing side channel analysis are described. In one embodiment, a method can determine, from a gate level representation of a circuit in a layout on a die of an IC, a first set of paths through the circuit that process security related data during operation of the circuit, the circuit including a second set of paths that do not process security related data; and the method can further determine, in a simulation of power consumption in the first set of paths but not the second set of paths, power consumption values in the first set of paths to determine potential security leakage of the security related data in the circuit. The method can further determine, from the power consumption values, positions in the layout for inserting virtual probes on the die for use in measuring security metrics that indicate potential leakage of the security related data. The insertion of the virtual probes is relative to the actual simulated layout of the die.

Abstract: Embodiments described herein relate to gas line systems with a multichannel splitter spool. In these embodiments, the gas line systems will include a first gas line that is configured to supply a first gas. The first gas line is coupled to a multichannel splitter spool with a plurality of second gas lines into which the first gas flows. Each gas line of the plurality of second gas lines will have a smaller volume than the volume of the first gas line. The smaller second gas lines will be wrapped by a heater jacket. Due to the smaller volume of the second gas lines, when the first gas is flowed through the second gas lines, the heater jacket will sufficiently heat the first gas, eliminating the condensation induced particle defects that occur in conventional gas line systems when the first gas meets with a second gas in the gas line system.

Abstract: In one example, a system comprises a plurality of non-last-hop routers (non-LHRs) of a network, the non-LHRs configured with a multicast distribution tree for a multicast group to transport first multicast packets of a multicast flow toward one or more LHRs, wherein a router of the non-LHR routers is configured to receive unicast packets for an application session associated with the multicast group, encapsulate the unicast packets in a multicast header to generate the first multicast packets for distribution using the multicast distribution tree, and output the first multicast packets; and the one or more LHRs, wherein the one or more LHRs are interested receivers of the multicast group, and wherein the one or more LHRs are configured to receive the first multicast packets of the multicast flow, extract the unicast packets for the application session, and send the unicast packets to one or more clients of the application session.

Abstract: Embodiments of the present invention provide a system for employing a smart device for secure and authenticated event. The system may include a smart assistant device that receives an audible request from a user for an event with a merchant. The smart assistant device then establishes a secure active session with a mobile device associated with the user over a wireless network. The smart assistant device determines a digital voice ID for the received audible request for the event and transmits the digital voice ID and event information to the mobile device of the user. A smart assistant application of the mobile device validates the digital voice ID based on stored reference data. Event information and additional user execution information is then provided to an event processing system for asynchronous processing.

Abstract: A method and system for reliably forecasting storage disk failure. Specifically, the method and system disclosed herein entail predicting whether one or more storage disks may fail within a future time period. Further, the storage disk failure forecasts may rely on machine learning classification coupled with prediction reliability scoring.

Abstract: Techniques that provide link establishment between a radio equipment controller (REC) and a radio equipment (RE) in a fronthaul network are described herein. In one embodiment, a method includes performing, Common Public Radio Interface (CPRI) Layer 1 (L1) link auto-negotiation operations to establish a CPRI link between the REC and RE. A proxy slave may achieve a hyper frame number (HFN) synchronization with the REC at a link bit rate for a first CPRI bit stream and communicate the first CPRI bit stream and the link bit rate to a proxy master. The proxy master may communicate a second CPRI bit stream to the proxy slave to transmit to the REC. The L1 link auto-negotiation operations are completed and CPRI link is established between the REC and the RE when the REC achieves a HFN synchronization for the second CPRI bit stream.

Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.

Abstract: The present disclosure relates to a lid assembly apparatus and related methods for substrate processing chambers. In one implementation, a lid assembly includes a gas manifold. The gas manifold includes a first gas channel configured to receive a process gas, a second gas channel configured to receive a doping gas, and a third gas channel configured to receive a cleaning gas. The lid assembly also includes a showerhead. The showerhead includes one or more first gas openings that are configured to receive the process gas, and one or more second gas openings that are configured to receive the doping gas.

Abstract: Some embodiments provide a method for network management and control system that manages one or more logical networks. From a first user, the method receives a definition of one or more security zones for a logical network. Each security zone definition includes a set of security rules for data compute nodes (DCNs) assigned to the security zone. From a second user, the method receives a definition of an application to be deployed in the logical network. The application definition specifies a set of requirements. Based on the specified set of requirements, the method assigns DCNs implementing the application to one or more of the security zones for the logical network.

Abstract: A system and a method for assigning a tutor to a cohort of students. The system receives information from a tutor. The information comprises a name, academic details, preferred languages, a subject of interest, a topic of interest, an introductory video of the tutor, and available time slots. The system further automatically generates a question for a tutor in real-time based on the information. Furthermore, the system receives an answer to the question from the tutor in an answer format. Subsequently, the system generates an assessment report of the tutor. Further, the system computes a similarity index of the tutor with a profile of a cohort of the students. Finally, the system assigns the tutor to the cohort of the students based on the similarity index, feedback received from the cohort of the students, and the available time slots of the tutor.

Abstract: An apparatus and method for encoding objects in a camera-captured image with a deep neural network pipeline including multiple convolutional neural networks or convolutional layers. After identifying at least a portion of the camera-capture image, a first convolutional layer is applied to the at least the portion of the camera-captured image and multiple subregion representations are pooled from the output of the first convolutional layer. One or more additional convolutions are performed. At least one deconvolution is performed and concatenated with the output of one or more convolutions. One or more final convolutions are performed. The at least the portion of the camera-captured image is classified as an object category in response to an output of the one or more final convolutions.

Abstract: Presented herein are systems, and methods thereof, that is configured to enter a maintenance mode to isolate itself from its neighbor and to gracefully cause neighbor devices to isolate themselves from the system, as to cause minimal or “zero” service disruption with its neighbors. The system broadcasts a maintenance-related message, via a standard transport layer, over routing protocols, to counter parts protocols at the neighbor device and waits for an acknowledgement message from the neighbor network devices. The broadcast and acknowledgement, through standard transport layer messaging, ensures that traffic generated by such protocols at the neighbor devices, regardless of manufacturer, are redirected before the system fully enters into the maintenance mode.

Abstract: The present technology is directed to high performing trained machine learning models for information retrieval in a web store. In some embodiments, for example, when a search query is received from a user of an online retailer, a computer system associated with the online retailer accesses measurements of performance of sets of search results returned in response to previous user search queries. Each of the previous search results set is a set that was ranked by a machine learning model selected from a store of machine learning models that are each trained to rank search results. Based on the measurements of performance, the computer system selects a machine learning model to rank search results for a response to the received search query. The ranked search results are provided for output to the user.

Abstract: A method and reactive treatment fluid for treating a wellbore for filter cake removal, including providing the reactive treatment fluid having a viscoelastic surfactant (VES) into a wellbore in a subterranean formation and attacking the filter cake via the reactive treatment fluid.

Abstract: In a method of managing emergency management information within an observation platform an emergency management and response application is provisioned at an observation platform. The provisioning is administered by a cloud services platform and includes configuration and deployment of the emergency management and response application within the observation platform. A communicative connection is established, via a gateway of the cloud services platform, between the emergency management and response application and a system external to the observation platform. In response to receipt at the observation platform of a report of an emergency, operation of the emergency management and response application is triggered within the observation platform. Emergency management information is sent, via the emergency management and response application, to a group of users of the observation platform.