Abstract: Disclosed are ethylene polymer compositions containing a homogeneously-branched first ethylene polymer component and 15-35 wt. % of a homogeneously-branched second ethylene polymer component of higher density than the first ethylene polymer component. The ethylene polymer composition can be characterized by a density from 0.912 to 0.925 g/cm3, a ratio of Mw/Mn from 2 to 5, a melt index less than 2 g/10 min, and a CY-a parameter at 190 ° C. from 0.35 to 0.7. These polymer compositions have the excellent dart impact strength and optical properties of a metallocene-catalyzed LLDPE, but with improved machine direction tear resistance, and can be used in blown film and other end-use applications. Further, methods for improving film Elmendorf tear strength also are described.

Abstract: Audio based transactions are getting more popular and are envisaged to become common in years to come. With the rise in data protection regulations, muting portions of the audio files is necessary to hide sensitive information from an eavesdropper or accidental hearing by an entity who gets unauthorized access to these audio files. However, it is realized that deleted transaction information in a muted audio files make audit of the transaction challenging and impossible. Embodiments of the present disclosure provide systems and methods of muting audio information in multimedia files and retrieval thereof which is masked and further allows for reconstruction of the original audio conversation or restoration Private to an Entity (P2aE) information without original audio reconstruction when auditing is being exercised.

Abstract: Disclosed are ethylene polymer compositions containing a homogeneously-branched first ethylene polymer component and 15-35 wt. % of a homogeneously-branched second ethylene polymer component of higher density than the first ethylene polymer component. The ethylene polymer composition can be characterized by a density from 0.912 to 0.925 g/cm3, a ratio of Mw/Mn from 2 to 5, a melt index less than 2 g/10 min, and a CY-a parameter at 190° C. from 0.35 to 0.7. These polymer compositions have the excellent dart impact strength and optical properties of a metallocene-catalyzed LLDPE, but with improved machine direction tear resistance, and can be used in blown film and other end-use applications. Further, methods for improving film Elmendorf tear strength also are described.

Abstract: Techniques and mechanisms for providing electrical insulation or other protection of an integrated circuit (IC) device with a spacer structure which comprises an (anti)ferromagnetic material. In an embodiment, a transistor comprises doped source or drain regions and a channel region which are each disposed in a fin structure, wherein a gate electrode and an underlying dielectric layer of the transistor each extend over the channel region. Insulation spacers are disposed on opposite sides of the gate electrode, where at least a portion of one such insulation spacer comprises an (anti)ferroelectric material. Another portion of the insulation spacer comprises a non-(anti)ferroelectric material. In another embodiment, the two portions of the spacer are offset vertically from one another, wherein the (anti)ferroelectric portion forms a bottom of the spacer.

Abstract: A capacitor is disclosed. The capacitor includes a first metal layer, a second metal layer on the first metal layer, a ferroelectric layer on the second metal layer, and a third metal layer on the ferroelectric layer. The second metal layer includes a first non-reactive barrier metal and the third metal layer includes a second non-reactive barrier metal. A fourth metal layer is on the third metal layer.

Abstract: Systems and techniques for masking non-public content in screen images are provided. An example system includes a screen capture tool, a region-based object detection system, a classifier, and an image masking engine. The screen capture tool may be configured to generate a screen image representing a screen being displayed by the system. The region-based object detection system may be configured to identify multiple regions within the screen image as potential non-public content regions. The classifier may be configured to selectively classify the identified regions as non-public content regions. The image masking engine may be configured to generate a masked image by masking the regions classified as non-public content regions in the screen image.

Abstract: Disclosed are various approaches for providing authentication of a user and a client device. A user's credentials can be authenticated by an identity provider. In addition, a device posture assessment that analyzes the device from which the authentication request originates is also performed. An authentication request can be authenticated based upon whether the device posture assessment reveals that device to be a managed device that is in compliance with compliance rules.

Abstract: Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.

Abstract: Disclosed are methods for producing a downstream product from cellulosic material by: a) contacting the cellulosic material with a polymer and a solvent to form a reaction mixture, where the polymer includes acidic monomers and ionic monomers connected to form a polymeric backbone, and each of the ionic monomers independently comprises at least one nitrogen-containing cationic group or at least one phosphorous-containing cationic group; b) degrading the cellulosic material in the reaction mixture to produce a liquid phase and a solid phase, where the liquid phrase includes one or more sugars, and where the solid phase includes residual cellulosic material; and c) using the one or more sugars to produce the downstream product.

Abstract: An lithium-iodine electrochemical cell and method of making is described. The cell comprises a lithium anode and a cathode of a charge transfer complex which includes iodine and preferably polyvinylpyridine. The iodine-containing cathode is in operative contact with both the anode the cell casing serving as the cathode current collector. Preferably the casing is composed of stainless steel that has been thermally annealed at temperatures of 1,800° F. or less. The annealed stainless steel has a grain size of about ASTM 7 or finer. When the iodine-containing cathode material in liquid form is filled into the casing, it contacts the inner casing surface. The passivation layer that subsequently forms at the contact interface affects cell impedance during discharge. It is desirable to maintain the internal impedance as low as possible.

Abstract: Technology for generating a consistently labeled training dataset. For each one of multiple previously labeled texts, a distance between the previously labeled text and a current text to be labeled is generated by comparing a list of tokens for the previously labeled text to a list of tokens for the current text to determine an overlap value equal to a number of tokens that match between the list of tokens for the previously labeled text and the list of tokens for the current text, and using the overlap value to calculate a distance between the previously labeled text and the current text that is inversely correlated to the overlap value. Previously labeled texts that are most similar to the current text are identified as those previously labeled texts having the shortest distances to the current text, and are displayed with their previously assigned labels in a label selection user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for training a machine learning model to perform multiple machine learning tasks from multiple machine learning domains. One system includes a machine learning model that includes multiple input modality neural networks corresponding to respective different modalities and being configured to map received data inputs of the corresponding modality to mapped data inputs from a unified representation space; an encoder neural network configured to process mapped data inputs from the unified representation space to generate respective encoder data outputs; a decoder neural network configured to process encoder data outputs to generate respective decoder data outputs from the unified representation space; and multiple output modality neural networks corresponding to respective different modalities and being configured to map decoder data outputs to data outputs of the corresponding modality.

Abstract: A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

Abstract: In some embodiments, exemplary user interfaces for provisioning an electronic device with an account are described. In some embodiments, exemplary user interfaces for providing usage information of an account are described. In some embodiments, exemplary user interfaces for providing visual feedback on a representation of an account are described. In some embodiments, exemplary user interfaces for managing the tracking of a category are described. In some embodiments, exemplary user interfaces for managing a transfer of items are described. In some embodiments, exemplary user interfaces for managing an authentication credential connected with an account are described. In some embodiments, exemplary user interfaces for activating a physical account object are described. In some embodiments, exemplary user interfaces for managing balance transfers are described.

Abstract: In some embodiments, exemplary user interfaces for provisioning an electronic device with an account are described. In some embodiments, exemplary user interfaces for providing usage information of an account are described. In some embodiments, exemplary user interfaces for providing visual feedback on a representation of an account are described. In some embodiments, exemplary user interfaces for managing the tracking of a category are described. In some embodiments, exemplary user interfaces for managing a transfer of items are described. In some embodiments, exemplary user interfaces for managing an authentication credential connected with an account are described. In some embodiments, exemplary user interfaces for activating a physical account object are described. In some embodiments, exemplary user interfaces for managing balance transfers are described.

Abstract: Described in detail herein is a profiling system. In one embodiment, a computing system can be configured to generate a graphical user interface through which a profiling application is configure, and receive a first request for initiating profiling of an executable module including one or more data structures via the graphical user interface. The computing system can further initiate the profiling of the executable module via the graphical user interface based on the information associated with the executable module, determine a first processor utilization and a first memory utilization during execution of the executable module, generate a first utilization snapshot from the first processor utilization and a first memory snapshot from the first memory utilization at a specified period of time during execution of the executable module, and store the first utilization and first memory snapshot in the database.

Abstract: In some embodiments, exemplary user interfaces for provisioning an electronic device with an account are described. In some embodiments, exemplary user interfaces for providing usage information of an account are described. In some embodiments, exemplary user interfaces for providing visual feedback on a representation of an account are described. In some embodiments, exemplary user interfaces for managing the tracking of a category are described. In some embodiments, exemplary user interfaces for managing a transfer of items are described. In some embodiments, exemplary user interfaces for managing an authentication credential connected with an account are described. In some embodiments, exemplary user interfaces for activating a physical account object are described. In some embodiments, exemplary user interfaces for managing balance transfers are described.

Abstract: The subject technology receives first metadata corresponding to a set of micro-partitions. The subject technology generates second metadata for a grouping of the first metadata. The subject technology generates a first data structure including the first metadata and a second data structure including the second metadata, the second data structure including information associating the second metadata to the first metadata. Further, the subject technology stores the first data structure and the second data structure in persistent storage as a first file and a second file.

Abstract: A system and method for outputting vehicle dynamic controls using deep neural networks that include receiving environmental sensor data from at least one sensor of a vehicle of a surrounding environment of the vehicle. The system and method also include inputting the environmental sensor data to a primary deep neural network structure and inputting intermediate representation, at least one applicable traffic rule, and at least one applicable vehicle maneuver to a secondary deep neural network structure. The system and method further include outputting vehicle dynamic controls to autonomously control the vehicle to navigate within the surrounding environment of the vehicle based on the at least one applicable traffic rule and the at least one applicable vehicle maneuver.