Abstract: Various embodiments are generally directed to techniques for dynamic network resiliency, such as by monitoring and controlling the configuration of one or more network components to ensure proper endpoint alignment, for instance. Some embodiments are particularly directed to a tool (e.g., resiliency agent) that can automatically recognize symptoms of issues with a network component, such as autoscaling, latency, traffic spikes, resource utilization spikes, etcetera, and respond appropriately to ensure continued and optimized operation of the network component. In many embodiments, the tool may dynamically reroute endpoint traffic, perform traffic balancing, and/or drive autoscaling to optimize operation of the network component in response to recognizing symptoms.

Abstract: Techniques for identifying certain signals sent over the CAN bus between components of a vehicle are provided herein. Specifically, certain testing maneuvers designed to engage the component of interest are provided to a technician for performing on the vehicle. The messages can be captured from the CAN bus and analyzed, using supervised machine learning algorithms, to isolate the message ids and the byte numbers so that the values of the component of interest may be observed for determining performance metrics. Once identified, these performance metrics may be used to compare with other vehicles or improve the design and performance of the vehicle.

Abstract: In certain embodiments, streaming of a live video to trigger-associated recipients in response to triggers in an environment may be facilitated. In some embodiments, one or more triggers may be detected in an environment, and one or more actions associated with the detected triggers may be performed. As an example, where such associated actions include streaming a live video of the environment to one or more recipients, the recipients may be selected as candidates to receive the live video stream based on the recipients being part of a recipient list associated with a detected trigger. In some embodiments, although a first recipient of the recipient list may initially be selected to receive the live video stream, the live video may be streamed to a second recipient of the recipient list based on the first recipient being unavailable to receive the live video stream.

Abstract: Embodiments describe a vehicle configured with a brain machine interface (BMI) for a vehicle computing system to control vehicle functions using electrical impulses from motor cortex activity in a user's brain. A BMI training system trains the BMI device to interpret neural data generated by a motor cortex of a user and correlates the neural data to a vehicle control command associated with a neural gesture emulation function. A BMI system onboard the vehicle may receive a continuous neural data feed of neural data from the user using the trained BMI device, determine a user intention for a control instruction to control a vehicle system using the continuous neural data feed, and perform an action based on the control instruction. A user may control aspects of automated parking using the BMI device in conjunction with a vehicle controller that governs some aspects of the parking operation.

Abstract: The present invention is directed to a polypropylene composition (C) a melt flow rate MFR2 (230° C.) determined according to ISO 1133 in the range of 15 to 40 g/ 10 min, the use of said polypropylene composition (C) for the production of a foamed article and a foamed article comprising said polypropylene composition (C).

Abstract: The disclosure relates to a cotton variety, designated 11PNFS45, the plants and seeds of the cotton variety 11PNFS45, methods for producing a cotton plant, either varietal or hybrid, produced by crossing the cotton variety 11PNFS45 with itself or with another cotton plant, hybrid cotton seeds and plants produced by crossing the variety 11PNFS45 with another cotton variety or plan, methods for producing a cotton plant containing in its genetic material one or more transgenes, and the transgenic cotton plants produced by that method. This disclosure also relates to cotton varieties derived from cotton variety 11PNFS45, to methods for producing other cotton varieties derived from cotton variety 11PNFS45, and to the varieties derived by the use of those methods.

Abstract: The disclosure relates to a cotton variety, designated 11PPYY71, the plants and seeds of the cotton variety 11PPYY71, methods for producing a cotton plant, either varietal or hybrid, produced by crossing the cotton variety 11PPYY71 with itself or with another cotton plant, hybrid cotton seeds and plants produced by crossing the variety 11PPYY71 with another cotton variety or plan, methods for producing a cotton plant containing in its genetic material one or more transgenes, and the transgenic cotton plants produced by that method. This disclosure also relates to cotton varieties derived from cotton variety 11PPYY71, to methods for producing other cotton varieties derived from cotton variety 11PPYY71, and to the varieties derived by the use of those methods.

Abstract: Disclosed is a composition including controlled release particles, wherein each of the controlled release particles includes: (a) a core including at least one hydrophobic active ingredient; and (b) a wall at least partially surrounding the core and including the reaction products of: (i) an organofunctional silane; (ii) an epoxy; (iii) an amine; (iv) an isocyanate; (v) an epoxide curing agent; wherein the controlled release particles are effective to retain the at least one hydrophobic active ingredient upon exposure to water and effective to release the at least one hydrophobic active ingredient in response to friction. A method for preparing the composition is also disclosed.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform receiving a voice command from a user to perform a virtual action intended to apply to one item of two or more items in a cart of the user; generating a concept vector representing a concept in the voice command; transforming the respective item attributes for each of the two or more items into a respective feature vector; generating a respective candidate score for the each of the two or more items; identifying the one item to which the voice command is intended to apply; and executing an action with respect to the one item based on the voice command. Other embodiments are disclosed.

Abstract: A method of processing data includes at least one processor accessing a data storage unit, the data storage unit providing at least one input data object and at least one transmutation command to be performed on the at least one input data object. The at least one transmutation command operates in a forward mode on the at least one input data object to produce at least one output data object to be stored in a data storage unit.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform obtaining a set of items that have been grouped together as matching items in a group; performing an ensemble mismatch detection; performing multiple detection models on the set of items to generate respective outputs regarding mismatches; combining the respective outputs to determine whether a quantity of detected mismatches is at least a predetermined threshold; when the quantity of detected mismatches is at least the predetermined threshold, the acts also can include separating at least one of the set of items from the group; and when the quantity of detected mismatches is not at least the predetermined threshold, the acts additionally can include maintaining each item of the set of items in the group. Other embodiments are disclosed.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform using a plugin system in a user interface to identify each ingredient in an ingredient list of a recipe published on a webpage shown on the user interface; identifying query strings from content on the webpage associated with one or more ingredients of the recipe; identifying one or more respective recipe products and a respective quantity for each of the one or more ingredients; locating a respective catalog product in an online catalog for each of the one or more respective recipe products; automatically generating a list of catalog products; automatically generating a link comprising the list of catalog products; automatically redirecting the user interface to an online retail website; and automatically adding the list of catalog products to an electronic shopping cart. Other embodiments are disclosed.

Abstract: This intrasacular aneurysm occlusion device includes a neck bridge with a closeable opening through which embolic material is inserted into an aneurysm sac. After the neck bridge has been expanded within the aneurysm sac, a catheter is inserted through the opening and embolic material is delivered through the catheter into the aneurysm sac. After the aneurysm sac has been filled with embolic material, the catheter is then withdrawn and the opening is closed so that embolic material does not escape out of the aneurysm sac.

Abstract: Tensor decomposition can be advantageous for compressing deep neural networks (DNNs). In many applications of DNNs, reducing the number of parameters and computation workload is helpful to accelerate inference speed in deployment. Modern DNNs comprise multiple layers with multi-array weights where tensor decomposition is a natural way to perform compression—in which the weight tensors in convolutional layers or fully-connected layers are decomposed with specified tensor ranks (e.g., canonical ranks, tensor train ranks). Conventional tensor decomposition with DNNs involves selecting ranks manually, which requires tedious human efforts to finetune the performance. Accordingly, presented herein are rank selection embodiments, which are inspired by reinforcement learning, to automatically select ranks in tensor decomposition.

Abstract: The disclosed embodiments provide methods and systems for identifying and onboarding a vehicle into an inventory. According to one exemplary embodiment, an image is captured of a vehicle. Based on the captured image, attributes of the imaged vehicle are determined. A vehicle onboarding system storing a plurality of vehicle attributes is queried, the query being based on the imaged vehicle, and a matching vehicle from the vehicle onboarding system based on the query is received. The mobile device further transmits the image of the vehicle to a vehicle inventory system with instructions to associate the image with the vehicle attributes of the matching vehicle in the vehicle inventory system. Image analysis is employed to determine vehicle attributes.

Abstract: Certain example embodiments relate to electric, potentially-driven shades usable with insulating glass (IG) units, IG units including such shades, and/or associated methods. In such a unit, a dynamic shade is located between the substrates defining the IG unit, and is movable between retracted and extended positions. The dynamic shade includes on-glass layers including a transparent conductor and an insulator or dielectric film, as well as a shutter. The shutter includes alternating conductive and dielectric layers, supported by one or more resilient polymer-based layers. A first set of electrostatic forces help cause the shutter to extend and remain in an extended position, whereas an electric field can be setup to help encourage the retraction of the shutter from an extended or at least partially extended position.

Abstract: The present application provides foams having improved insulation and thermal performance and processes of forming said foams. Exemplary foams described herein are prepared according to a process comprising reacting or extruding a foamable composition comprising (i) a compound selected from E-CHCl?CHCF3, Z—CF3CH?CHCF3, and E-CF3CH?CHCF3, or any mixture thereof, and (2) a C5 hydrocarbon (e.g. cyclopentane), under conditions effective to form the foam.

Abstract: A window for use on a structure has a first frame, a second frame and a fascia. The structure has a wall having an interior surface, an exterior surface, and an opening extending through the wall from the interior surface to the exterior surface. The opening has an upper edge, a lower edge, a first side, and a second side. The first frame contacts the interior surface of the wall and extends through the opening. The second frame is positioned below the opening and contacts the interior surface of the wall. The fascia is connected to the first frame and contacts the exterior surface of the wall.

Abstract: A method for execution by a node of a computing device includes determining a plurality of queries for concurrent execution. A plurality of sets of segments required to execute the plurality of queries is determined, and a set of virtual segments in the plurality of sets of segments is determined. A subset of the set of virtual segments is be determined by identifying ones of the set of virtual segments that are required to execute multiple ones of plurality of queries. A locally rebuilt set of rows for each of the set of virtual segments is generated by utilizing a recovery scheme. For each one of the set of virtual segments included in the subset, in response to generating the locally rebuilt set of rows, concurrent partial execution of corresponding multiple ones of the plurality of queries is facilitated.