Abstract: Schemaless systems and methods for automatically building and utilizing a chatbot knowledge base or the like. Textual analytics tools, such as natural language processing (NLP) and/or deep learning engines, are used to analyze the knowledge base and uncover and highlight gaps, which are turned into topics. Predetermined answers to these queries can then be prepared manually, or by an artificial intelligence (AI) algorithm with alternative database visibility. In this manner, new question-and-answer (Q&A) pairs are generated by the systems and methods in an automated manner, for later use by a chatbot, coaching system, or the like. These processes are iterative. Advantageously, transferring the processes from manual control to automated control greatly conserves resources.

Abstract: Distribution of traffic to cells in a communication network can be controlled. A distribution management component (DMC) can determine overall device traffic throughput for cells of a sector that satisfy a defined traffic throughput criterion relating to a harmonic mean of the device traffic throughput for the cells to desirably enhance or maximize the harmonic mean of the overall device traffic throughput. Based on the overall device traffic throughput for the cells, the DMC can determine whether to adjust a characteristic associated with a cell of the cells to facilitate adjusting distribution of device traffic among the cells of the sector to achieve desirable load balancing of traffic by the sector and in the network. Load balancing can be achieved by controlling respective parameters with regard to communication devices that are in idle mode or connected mode to facilitate directing communication devices and associated traffic to desired cells.

Abstract: An image captioning system and method is provided for generating a caption for an image. The image captioning system utilizes a policy network and a value network to generate the caption. The policy network serves as a local guidance and the value network serves as a global and lookahead guidance.

Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

Abstract: An unstructured data analytics system, including: an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to one or more users; wherein the summary information is displayed to the one or more users in a presentation layer, an exploration layer, and an annotation layer. The unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources. The presentation layer displays one or more of the unstructured data a summary of the unstructured data, and the summary information. The exploration layers allows the one or more users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer. The one or more users can interact with the unstructured data analytics system simultaneously via the annotation layer.

Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

Abstract: The present application relates to a socket. The socket may include a housing and a plug. At least one of a slot or a hole may be positioned on at least one side of the housing. A clamping conducting strip may be positioned in the housing. At least two elastic conducting contacts may be positioned on a surface of plug. The elastic conducting contacts may connect to a power source, and the plug may be positioned outside the housing. A connecting groove may be positioned on a back side of the housing. An inner contact point may be positioned in the connecting groove and be connected to the clamping conducting strip. A connector may be positioned in the plug. An external contact point may be positioned on the connector. The external contact point may be connected to the elastic conducting contact. The connector may be inserted into the connecting groove.

Abstract: A polyester obtained by the esterification of terephthalic acid and ethylene glycol and the polycondensation catalysed by a mixture of magnesium ethylene glycol and antimony ethylene glycol followed by granulation. In the polyester sections, the carboxyl end group is less than 15 mol/t, the mass percentage of oligomer is lower than 0.5%, and weight percentage of diethylene glycol is lower than 0.5%.

Abstract: A system includes: a heat sink module with a plurality of first through-holes linking its top and bottom surfaces and a plurality of grooves on the bottom surface, wherein each groove passes through a respective sequence of the first through-holes; and a driving circuit module with a plurality of conductive connectors and electrical driving surfaces that are disposed substantially perpendicular to the top and bottom surfaces of the heat sink module, wherein each conductive connector lies partially within a respective groove in the bottom surface of the heat sink module, the conductive connectors include internal connectors that each links at least two of the first through-holes in a respective sequence of first through-holes, and external connectors that each links at least one of the first through-holes in a respective sequence of first through-holes to an electrical driving surfaces of the driving circuit module.

Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Abstract: A nonlinear resonator is presented that enhances the bandwidth while providing high resonance amplitude. The nonlinear resonance circuit is comprised of an inductor electrically coupled to a capacitor, where either the inductor or capacitor is nonlinear. Response of the nonlinear resonance circuit to an excitation signal is described by a family of second-order differential equations with cubic-order nonlinearity, known as Duffing equations. In one aspect, the nonlinear resonator is implemented by a nonlinear dielectric resonator.

Abstract: A nonlinear resonator is presented that enhances the bandwidth while providing high resonance amplitude. The nonlinear resonance circuit is comprised of an inductor electrically coupled to a capacitor, where either the inductor or capacitor is nonlinear. Response of the nonlinear resonance circuit to an excitation signal is described by a family of second-order differential equations with cubic-order nonlinearity, known as Duffing equations.

Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

Abstract: Distribution of traffic to cells in a communication network can be controlled. A distribution management component (DMC) can determine overall device traffic throughput for cells of a sector that satisfy a defined traffic throughput criterion relating to a harmonic mean of the device traffic throughput for the cells to desirably enhance or maximize the harmonic mean of the overall device traffic throughput. Based on the overall device traffic throughput for the cells, the DMC can determine whether to adjust a characteristic associated with a cell of the cells to facilitate adjusting distribution of device traffic among the cells of the sector to achieve desirable load balancing of traffic by the sector and in the network. Load balancing can be achieved by controlling respective parameters with regard to communication devices that are in idle mode or connected mode to facilitate directing communication devices and associated traffic to desired cells.

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

Abstract: An artificial intelligence data analytics system, including: a data analytics algorithm accessible by an analyst operable for receiving data from one or more sources, applying one or more analytical tools to the data, and displaying summary information to the analyst; an artificial intelligence algorithm accessible by the analyst operable for applying a preferred artificial intelligence methodology to the data and automatically triggering and executing an action on behalf of the analyst; and an artificial intelligence learning algorithm accessible by the analyst operable for statistically scoring a plurality of potential artificial intelligence methodologies to be used by the artificial intelligence algorithm, receiving a corresponding analyst preference as to the preferred artificial intelligence methodology, and causing the artificial intelligence algorithm to utilize the preferred artificial intelligence methodology.

Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

Abstract: A polyester obtained by the esterification of terephthalic acid and ethylene glycol and the polycondensation catalysed by a mixture of magnesium ethylene glycol and antimony ethylene glycol followed by granulation. In the polyester sections, the carboxyl end group is less than 15 mol/t, the mass percentage of oligomer is lower than 0.5%, and weight percentage of diethylene glycol is lower than 0.5%.

Abstract: There are provided gypsum panels, sheets and multi-layer sheets as well as methods of preparation thereof. For example, there are provided cellulose filament-reinforced gypsum panels, sheets and multi-layer sheets and methods of preparation thereof. For example, in such gypsum panels, sheets and multi-layer sheets gypsum is bound with cellulose filaments to strengthen the gypsum panels, sheets and multi-layer sheets. The cellulose filament-reinforced gypsum panel can be, for example, a core comprising a honeycomb or corrugated structure. There are also provided aqueous suspensions comprising cellulose filaments and CaSO4.2H2O.