Abstract: Systems and methods to cause an intent discovery system to identify new user intents without additional training. The system may comprise of two neural networks. The first neural network generates a prompt tailored to a particular domain (e.g., travel), and may include known intents pertinent to the domain selected examples from a training dataset to provide context to the prompt. The second neural network may use this prompt to identify intents from new utterances in the prompt. The identified intents that are not in the list of known intents are then used to update the database.

Abstract: An elbow and forearm protection device includes an arm strap that is wrapped around a user's upper arm when the user is playing the game of baseball. A member is attached to the arm strap and an elbow cup is integrated into the member to protect the user's elbow from impact of a baseball while playing the game of baseball. A wrist strap is attached to the member and a palm cup is attached to the wrist strap to receive the edge of the user's palm when the wrist strap is worn around the user's wrist.

Abstract: Improved methods for semi-supervised training are provided. These methods include using a model that has been trained used ground-truth labeled training examples to predict the class of a set of unlabeled training examples. A subset of the unlabeled training examples are then added to the labeled training dataset, labeled with the model-generated labels. The added subset are balanced across the predicted classes (e.g., an equal number added from each predicted class) in order to reduce bias in the augmented training dataset toward representation of ‘easy’ classes. Confidence scores used to select which training examples to add from each predicted class could be based on a confidence output of the model. Additionally or alternatively, the confidence scores could be determined based on distance, in an embedding space of the model, between the unlabeled training examples and labeled training examples whose class label match the predicted label of the unlabeled training examples.

Abstract: A method for strengthening metal structure, including steps: i) mixing two-component epoxy resin composition; ii) applying composition to metal structure surface, or onto strengthening element, or both; iii) contacting applied epoxy resin composition with strengthening element surface and/or metal structure surface wherein composition forms interlayer between metal structure and strengthening element, and iv) curing epoxy resin composition at 100° C. or below; wherein two-component epoxy resin composition contains: first component between 10-50 wt.-% of at least one epoxy resin contains on average more than one epoxy group per molecule; second component between 5-30 wt.-% of hardener for epoxy resins; between 3-25 wt.-% of at least one impact strength modifier in one or both components; between 15-80 wt.-% of at least one filler in one or both components; and wherein two-component epoxy resin composition exhibits after curing Elastic Modulus at least 2500 MPa, and Impact Peel Strength at least 15 N/mm.

Abstract: Persistent storage contains configuration items representing computing hardware and software, wherein each configuration item is respectively associated with a set of attributes, and wherein pairwise relationships are defined between some of the configuration items. One or more processors are configured to: select a subset of the configuration items that are connected by way of a subset of the pairwise relationships; form a graph representation in which the subset of the configuration items is represented as nodes and the subset of the pairwise relationships is represented as edges between pairs of the nodes; train a graph neural network with k layers on the graph representation, wherein training the graph neural network involves sequentially generating k embeddings for the sets of attributes associated with the nodes, wherein the embeddings are in an f-dimensional feature space; and based a kth of the embeddings, determine that a particular node of the nodes is anomalous.

Abstract: Disclosed herein a system, a method and a device for generating a voice model for a user. A device can include an encoder and a decoder to generate a voice model for converting text to an audio output that resembles a voice of the person sending respective text. The encoder can includes a neural network and can receive a plurality of audio samples from a user. The encoder can generate a sequence of values and provide the sequence of values to the decoder. The decoder can establish, using the sequence of values and one or more speaker embeddings of the user, a voice model corresponding to the plurality of audio samples of the user.

Abstract: A method for strengthening metal structure, including steps: i) mixing two-component epoxy resin composition; ii) applying composition to metal structure surface, or onto strengthening element, or both; iii) contacting applied epoxy resin composition with strengthening element surface and/or metal structure surface wherein composition forms interlayer between metal structure and strengthening element, and iv) curing epoxy resin composition at 100° C. or below; wherein two-component epoxy resin composition contains: first component between 10-50 wt.-% of at least one epoxy resin contains on average more than one epoxy group per molecule; second component between 5-30 wt.-% of hardener for epoxy resins; between 3-25 wt.-% of at least one impact strength modifier in one or both components; between 15-80 wt.-% of at least one filler in one or both components; and wherein two-component epoxy resin composition exhibits after curing Elastic Modulus at least 2500 MPa, and Impact Peel Strength at least 15 N/mm.

Abstract: Disclosed herein a system, a method and a device for generating a voice model for a user. A device can include an encoder and a decoder to generate a voice model for converting text to an audio output that resembles a voice of the person sending respective text. The encoder can includes a neural network and can receive a plurality of audio samples from a user. The encoder can generate a sequence of values and provide the sequence of values to the decoder. The decoder can establish, using the sequence of values and one or more speaker embeddings of the user, a voice model corresponding to the plurality of audio samples of the user.

Abstract: A system for controlling the operation of utilities such as power, water, gas and communications in a building. The system includes a software component that is uploaded onto a mobile communications device such as a cell phone, smart phone, tablet etc. that communicates with at least one utility control devices that enable and disable the utility service to the building based upon the mobile communications device being in proximity to the building.

Abstract: A radiographic apparatus having a laser positioning system comprising three independent laser units for positioning a patient in three-dimension for the purpose of taking x-rays. Each laser unit is orthogonally oriented in respect to the others, such that the first laser unit projects a laser beam aligned with the x-ray beam in said first lateral direction, and the second laser unit projects a laser beam in a second lateral direction that is orthogonal to the first lateral direction, and the third laser unit projects a laser beam in a vertical direction that is orthogonal to both the first and second lateral directions. With the patient properly oriented by the laser system, x-ray films are taken that can be sequenced for radiographic animation analysis.

Abstract: A sealing apparatus is disclosed. In some embodiments, the sealing apparatus includes a shaft assembly that couples a laterally expandable plug and a longitudinally expandable member. The plug and the expandable member are captured within the ends of the shaft assembly. The shaft assembly is configures so that longitudinal expansion of the expandable member results in lateral expansion of the plug. Thus, such a device can be inserted into a pipe and the plug can be expanded within the pipe to provide a seal about the shaft assembly. In some embodiments, the shaft assembly can define a longitudinally extending hollow pathway that allows flow between the two ends of the shaft assembly. Examples of how such hollow pathway and the plug operation can be implemented are disclosed. Example applications, such as pressure measurements, are also disclosed.

Abstract: A radiographic apparatus having a laser positioning system comprising three independent laser units for positioning a patient in three-dimension for the purpose of taking x-rays. Each laser unit is orthogonally oriented in respect to the others, such that the first laser unit projects a laser beam aligned with the x-ray beam in said first lateral direction, and the second laser unit projects a laser beam in a second lateral direction that is orthogonal to the first lateral direction, and the third laser unit projects a laser beam in a vertical direction that is orthogonal to both the first and second lateral directions. With the patient properly oriented by the laser system, x-ray films are taken that can be sequenced for radiographic animation analysis.