Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.

Abstract: Apparatuses, systems, and techniques to generate a prompt for one or more machine learning processes. In at least one embodiment, the machine learning process(es) generate(s) a plan to perform a task (identified in the prompt) that is to be performed by an agent (real world or virtual).

Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.

Abstract: A method includes determining, using at least one processing device of an electronic device, a target embedding vector for each class of a plurality of classes. The method also includes generating, using the at least one processing device, an utterance embedding vector using a pre-trained language model, where the utterance embedding vector represents an input utterance associated with an expected class. The method further includes obtaining, using the at least one processing device, a predicted class associated with the input utterance based on distances of the utterance embedding vector to spatial parameters representing the plurality of classes, where the spatial parameter of each class is based on the target embedding vector associated with that class. In addition, the method includes updating, using the at least one processing device, parameters of the language model based on a difference between the predicted class and the expected class.

Abstract: A method includes receiving an input utterance that is a continuation of a previous utterance. The method also includes, using a trained Siamese network, determining input utterance embeddings representing tokens from the input utterance, pooling the input utterance embeddings with a context token embedding representing a class associated with the previous utterance to generate a representative input utterance embedding, and determining a representative embedding associated with each of multiple possible classes. Each possible class is associated with first and second threshold boundaries. The method further includes, using the trained Siamese network, determining a similarity score for each possible class based on a distance between the representative input utterance embedding and a selected threshold boundary of the representative embedding for that possible class and identifying a class for the input utterance based on the determined similarity scores.

Abstract: A system creates and searches knowledge base (KB) articles inside an organization while supporting operation as a SaaS (Software as-a-Service) across a plurality of organizations. The system implements a real-time online learning-to-rank (L2R) algorithm for learning relevance scoring that is customized to each organization. This algorithm incorporates rich lexical features using a query similarity kernel. A scoring function includes a pairwise static module, which may be trained off-line using training data, and a lexical adaptive module, which is trained on-line based on user feedback. The scoring function makes the system easy to deploy, modify, and suitable for handling events that naturally happen over the lifecycle of any KB deployment, without manual training.

Abstract: An exemplary embodiment of the present disclosure provides a localized heating, ventilation, or air conditioning (HVAC) system comprising a moveable air delivery system comprising. The moveable air delivery system further comprising an air inlet configured to receive air and an air outlet configured to output the air into a space. The localized HVAC further comprising a movement system configured to move the air outlet in a generally planar manner. The movement system further comprising an air delivery support system configured to support the air outlet, the air delivery support system configured to move the air outlet in an air delivery plane.

Abstract: An organization has or uses an SLA system that selects a service-level agreement (SLA) that should apply to a given user request. The SLA system then can monitor the state of the ticket created based on the user request and provide messages or other feedback to the agent to aid the agent in meeting any performance goals associated with the SLA. The SLA system can determine the SLA to associate with a given user request by inferring a type of the request and selecting the SLA based on the type, or by using a model to directly associate an SLA to a given user request, without the need to infer an intermediate type for the user request, which eliminates the need for administrators to create and maintain metadata to guide the association between types and SLAs.

Abstract: A communications server apparatus and method for forecasting demand for services is provided, the server managing the provision of services based on received queries. Data records comprising data instances of service queries within a past time period are received. Modified data records are derived by modifying a value of a feature of one or more of the data instances to a standardized value. The feature is a parameter relating to an offer, by the server, to provide a service in response to a query. The data instances of the modified data records are input into a classification model, wherein the classification model predicts whether or not a service booking will be made. Classification predictions are output by the classification model and an estimate of potential demand for the past time period is determined based on the classification predictions, for improved forecasting of demand for services.

Abstract: Apparatuses, systems, and techniques to place one or more objects in a location and orientation. In at least one embodiment, one or more circuits are to use one or more neural networks to cause one or more autonomous devices to place one or more objects in a location and orientation based, at least in part, on one or more images of the location and orientation.

Abstract: Disclosed techniques enable evaluating betting odds using a digital platform. Two or more digital betting platforms are accessed. The digital betting platforms each provide one or more betting odds opportunities for an online user. The digital betting platforms comprise digital sportsbooks. The betting odds opportunities include an outcome of a head-to-head sporting contest. The betting odds opportunities from the digital betting platforms are parsed to enable identification of at least one common betting odds opportunity. Vigorish included by the digital betting platforms is removed from the betting odds opportunities. An odds discrepancy is identified between the two or more digital betting platforms for the common betting odds opportunity. A request is received from the online user for the common betting odds opportunity. An automated response is provided to the online user. The response contains information on the common betting odds opportunity.

Abstract: A system stores resources such as text articles, videos, and so forth for an organization. During operation, the system receives a query and provides a response. During initial use of the system, there is little or no historical data available to help determine which resource is most relevant to a particular query. In this “cold-start” situation, the system determines attributes associated with a user account of the user making the query. The query is used to search a data store and retrieve a set of resources based on a term match with the query and to find the resources which correspond to the attributes of the user account. This allows the system to provide simplified output that is more likely to be relevant to that particular user in the “cold-start” situation.

Abstract: A system stores resources such as text articles, videos, and so forth for an organization. During operation, the system receives a query and provides a response. During initial use of the system, there is little or no historical data available to help determine which resource is most relevant to a particular query. In this “cold-start” situation, the system determines attributes associated with a user account of the user making the query. The query is used to search a data store and retrieve a set of resources based on a term match with the query and to find the resources which correspond to the attributes of the user account. This allows the system to provide simplified output that is more likely to be relevant to that particular user in the “cold-start” situation.

Abstract: An exemplary embodiment of the present disclosure provides a localized heating, ventilation, or air conditioning (HVAC) system comprising a moveable air delivery system comprising. The moveable air delivery system further comprising an air inlet configured to receive air and an air outlet configured to output the air into a space. The localized HVAC further comprising a movement system configured to move the air outlet in a generally planar manner. The movement system further comprising an air delivery support system configured to support the air outlet, the air delivery support system configured to move the air outlet in an air delivery plane.

Abstract: Systems and methods for implementing an RPA (robotic process automation) cloud suite comprising a plurality of RPA related services are provided. Each of the plurality of RPA related services of the RPA cloud suite is associated with one of a plurality of nodes of a hierarchical model. A routing address for each respective RPA related service of the plurality of RPA related services is defined according to a standardized format for the RPA cloud suite based on the node associated with the respective RPA related service.

Abstract: Aspects of the disclosure are directed to clock management. In accordance with one aspect, a clock management apparatus for built-in self-test (BIST) circuitry includes a plurality of local clock controllers; a plurality of clock generators coupled to the plurality of local clock controllers; a master clock controller coupled to the plurality of clock generators; an X-tolerant logical built-in self test (XLBIST) circuit coupled to the master clock controller; and a test access port (TAP) coupled to the XLBIST circuit.

Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to implement parallel architectures for neural network classifiers. An example non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least: process a first stream using first neural network blocks, the first stream based on an input image; process a second stream using second neural network blocks, the second stream based on the input image; fuse a result of the first neural network blocks and the second neural network blocks; perform average pooling on the fused result; process a fully connected layer based on the result of the average pooling; and classify the image based on the output of the fully connected layer.

Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.

Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.