Abstract: Disclosed herein are systems and techniques for node discovery and configuration in a daisy-chained network. For example, in some embodiments, a main node may “auto-discover” the topology and identity of sub nodes in a daisy-chained network so that changes in the topology may be readily adapted to without substantial interruptions in data transfer in the network.

Abstract: A composition comprising an yttria-rare earth-doped zirconium oxide is provided that has a tetragonal structure and a formula: YaLnbCexZr1-a-b-xO2-? where Ln is a mixture of rare earth elements; 0.01?a?0.051; 0.01?b?0.051 such that Y and each rare earth element is included in the composition in substantially equal molar amounts; 0.05?(a+b)?0.07; 0?x?0.051; and 0???0.05. Methods of forming a coating that includes this composition, along with the resulting coated components, are also provided.

Abstract: Methods and devices are described for shaping ingots of ice. Devices may include a support structure, a mold for shaping ice ingots, the mold being mounted to the support structure. The devices may also include a first upper platen assembly disposed above a first lower platen assembly, a first positioning means, and at least one liquid inlet valve for each of the first upper platen assembly and the first lower platen assembly.

Abstract: Activations (e.g., output activations) or weights of intermediate layers of deep neural networks (DNNs) can be pruned to increase sparsity and reduce the amount of computation required for performing the computations in the layers or subsequent layers. A pruning threshold may be determined, e.g., through an iterative process, and activations or weights having absolute values lower than the pruning threshold may be changed to zero. A first pruning threshold may be used to prune an output tensor or kernel of a layer. The loss in the accuracy of the DNN due to the pruning may be determined. A second pruning threshold may be determined based on the first pruning threshold and the accuracy loss. The DNN may be modified by adding a pruning operation to the layer. The pruning operation can prune output tensors or kernels of the layer based on the second pruning threshold.

Abstract: Methods, apparatus, and processor-readable storage media for automatically managing event-related communication data using machine learning techniques are provided herein.

Abstract: System and methods for token based identity verification and consent management are provided. In one embodiment, a method for identity (ID) verification and consent management for on-behalf-of transactions comprises: receiving an authorization request for a principal user from a first user equipment (UE); generating a consent token for the principal user based on authentication information in the authorization request; adding the consent token to an authenticated user queue, wherein the authenticated user queue associates the consent token to the principal user; receiving a message from a second UE indicating a selection of the principal user; and initiate sending of the consent token from the authenticated user queue to the first UE in response to the selection. In some embodiments, the consent token indicates a permission level granted to the agent user for accessing a data profile associated with the principal user.

Abstract: A system and method to assist a non-pilot in taking corrective action includes monitoring, in a health monitoring system, a state of health of an enabled aircraft autoland system to determine if a subsystem or component of the autoland system is in a fault condition that will inhibit operation of the autoland system. When the subsystem or component of the enabled autoland system is inoperable, The health monitoring system determines if the fault condition can be corrected by the non-pilot, by comparing the fault condition to a set of fault conditions in a fault condition database. When the fault condition can be corrected by the non-pilot, a display device is commanded, via the health monitoring system, to render a three-dimensional (3D) cockpit view of instructions for correcting the fault.

Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: A method for creating product compatibility rules for an enterprise resource planning system. The method includes obtaining, by a processor, product compatibility rules defined for a plurality of products in a first standard format. The product compatibility rules define, for each product, a plurality of parameters and one or more configurations associated with each of the plurality of parameters which are at least one of compatible and non-compatible with the corresponding product. The method further includes generating, by the processor, a plurality of unique combinations of configurations for each product and identifying, by the processor, one or more products of the plurality of products for each unique combination of configurations. Further, the method includes creating, by the processor, product compatibility rules for the enterprise resource planning system by defining a relationship between the one or more products and each unique combination of configurations in a second standard format.

Abstract: The instant disclosure relates to microbial decontamination of solid surfaces. The disclosure provides method for reducing or eliminating microbes from a solid surface by employing a combination of quaternary ammonium compound coating onto the solid surface and electric field application. Particularly, the method comprises subjecting a solid surface to an electric field comprising a voltage of 2 kV/cm to 6 kV/cm and a capacitance of 0.002 ?F to 0.06 ?F, to reduce or eliminate the microbes from the solid surface, wherein said solid surface comprises a coating of quaternary ammonium compound. Corresponding products including kit and solid material/device are also provided. The present method has several advantages including but not limiting to high efficiency (>4 log10 or >99.99%) in reducing/eliminating microbial load on solid surfaces; requirement of very low concentrations of quaternary ammonium compound [about 0.01% (w/v) to 1% (w/v)] to achieve said high efficiency; and shorter time-periods.

Abstract: In one aspect, the invention relates to an immunogenic composition that includes a mutant Clostridium difficile toxin A and/or a mutant Clostridium difficile toxin B. Each mutant toxin includes a glucosyltransferase domain having at least one mutation and a cysteine protease domain having at least one mutation, relative to the corresponding wild-type C. difficile toxin. The mutant toxins may further include at least one amino acid that is chemically crosslinked. In another aspect, the invention relates to antibodies or binding fragments thereof that binds to said immunogenic compositions. In further aspects, the invention relates to isolated nucleotide sequences that encode any of the foregoing, and methods of use of any of the foregoing compositions.

Abstract: A method is performed at a computer system that is in communication with a display generation component and one or more input devices. A first set of one or more windows in an interactive mode, and a representation of a second set of one or more windows in a non-interactive mode are concurrently displayed. While a window is displayed in an interactive mode, the content of the window can be manipulated in response to user inputs. While a representation of a window is displayed in a non-interactive mode, the content of the window is not available to be manipulated in response to user inputs. An input selecting the representation of the second set of one or more windows is detected. In response to detecting the input, the first set of one or more windows in the interactive mode are ceased to be displayed.

Abstract: Techniques for screenshot capture based on content type are described and are implementable to enable a screenshot of content displayed on a device to be captured based on a content type for the content. The described implementations, for instance, automatically determine a content type for content displayed on a device and capture a screenshot based on the content type, such as whether the content represents static content or dynamic content. Further, implementations enable a query to be utilized to determine whether to generate one or more of a static screenshot of visual content or a dynamic screenshot of visual content.

Abstract: A method and system for managing reproducible machine learning workflows are disclosed. The method includes receiving input comprising abstract data sets, and transforming abstract data sets into abstract data types. The method includes generating abstract pipelines using abstract data types, and implementing abstract pipelines as packages. The method includes configuring packages as map of key-value pairs comprising keys, and storing configured packages in database. The method includes generating execution plan by converting abstract pipelines from the configured packages into concrete pipelines. Further, method includes transmitting execution plan to orchestrator to merge individual concrete pipelines into dataset dependency graph, and to mark tasks in dataset dependency graph. The method includes executing tasks as cluster, by calling appropriate command, and obtaining predictions from different models or same model with different hyperparameters to provide meta construct, upon executing tasks as cluster.

Abstract: Embodiments herein provide a method for gap scheduling for a UE 100 comprising a plurality of SIMs 150 in a wireless network 1000 by the UE 100. The method includes sending a request for the gap configuration to a first network operator device 200a associated with a first SIM 150a from the plurality of SIMs 150. Further, the method includes receiving the gap configuration corresponding to the gap from the first network operator device 200a. Further, the method includes activating the gap on the first SIM 150a based on the gap configuration. Further, the method includes switching to the second network operator device 200b associated with the second SIM 150b-150n for service reception on the second SIM 150b-150n during the activated gap on the first SIM 150a.

Abstract: An integrated circuit structure includes a vertical stack including a first device, and a second device above the first device. The first device includes (i) a first source and first drain region, (ii) a first body laterally between the first source and drain regions, (iii) a first source contact including a first conductive material, and (iv) a first drain contact including the first conductive material. The second device includes (i) a second source and second drain region, (ii) a second body laterally between the second source and drain regions, (iii) a second source contact including a second conductive material, and (iv) a second drain contact including the second conductive material. In an example, the first and second conductive materials are compositionally different. In an example, the first conductive material induces compressive strain on the first body, and the second conductive material induces tensile strain on the second body.

Abstract: Techniques for treating a hydrocarbon reservoir include delivering a composition to the hydrocarbon reservoir. The composition includes at least one acid, and liquid or supercritical carbon dioxide (CO2). The method further includes exposing the delivered composition to water to activate the composition; and treating a rock formation of the hydrocarbon reservoir with the activated composition.

Abstract: Transaction modification based on modeled profiles is described. In an example, transaction data can be received from merchant computing devices associated with merchants associated with a payment processing system. A model can be trained to generate profiles using, as training data, one or more of merchant data, buyer data, or the transaction data. Upon receiving an indication of a particular transaction between a buyer and a merchant, it can be determined that a characteristic of the transaction corresponds to a profile of the generated profiles. Based on the determination that the characteristic corresponds to the profile and the transaction data, a recommendation can be generated for a modification of the transaction to add an item or replace an item.

Abstract: A disturb mitigation scheme is described for a 1TnC or multi-element ferroelectric gain bit-cell where after writing to a selected capacitor of the bit-cell, a cure phase is initiated. Between the cure phase and the write phase, there may be zero or more cycles where the selected word-line, bit-line, and plate-lines are pulled-down to ground. The cure phase may occur immediately before the write phase. In the cure phase, the word-line is asserted again just like in the write phase. In the cure phase, the voltage on bit-line is inverted compared to the voltage on the bit-line in the write phase. By programming a value in a selected capacitor to be opposite of the value written in the write phase of that selected capacitor, time accumulation of disturb is negated. This allows to substantially zero out disturb field on the unselected capacitors of the same bit-cell and/or other unselected bit-cells.

Abstract: An energy device control system may include an energy source enclosure that can be coupled with external loads via first external connectors outside of the energy source enclosure. The system also may include an external control device coupled with the energy source enclosure via second external connectors such that the external control device is galvanically isolated from energy device cells inside the energy source enclosure. The external control device may communicate with internal control components of the energy source enclosure via the second external connectors to control charging and/or discharging of the device cells via the first external connectors.