Abstract: A network device may transmit device configuration request messages of different types for network address assignment operations that are pending in parallel. The network device may complete a corresponding message exchange operation to obtain device configuration information based on a response to one of the request messages. If desired, if no responses are received for the initial set of device configuration request messages within an allocated time, the network device may subsequently send additional device configuration request messages for other network address assignment operations that are also pending in parallel.

Abstract: An exemplary system for constructing data structures that can perform inferential reasoning to answer input queries may receive input data, extract and cluster entities in the input data into topic clusters, and for a first topic cluster construct a data structure comprising a plurality of nodes, wherein nodes of the data structure respectively represent a topic entity extracted from the input data and grouped into the first topic cluster, and wherein a first node of the data structure is associated with a second node of the data structure based on the first node and the second node respectively representing a first topic entity and a second topic entity associated in the input data with a common one of the one or more identified linguistic modalities. An exemplary system comprising the data structure may receive an input query and generate a response to the input query using the data structure.

Abstract: A method for providing a hybrid AI and human electronic communication interface includes receiving a first electronic transmission comprising a user query from a user device. The method further includes automatically generating, by processing the user query by a set of AI models, an automatic response to the user query. The method further includes electronically transmitting the automatic response to the user device. The method further includes receiving, from the user device, a second electronic transmission comprising a user input in response to the automatic response. The method further includes determining, based at least in part on processing the user input, that a set of criteria is met; and in accordance with the determination that the set of criteria are met, automatically instantiating an electronic communication connection between the user device and a second user device.

Abstract: A system for automatically generating responses to user queries includes one or more processors, operable when executing instructions to: receive a query from a user, determine a first set of similarity scores between the query and a plurality of stored queries stored in a data store, and determine whether a first similarity score of the first set of similarity scores meets a first threshold. In accordance with a determination that the first similarity score meets the first threshold, the processors are further operable to obtain a set of case information for the current case; retrieve case information for at least one precedent case; determine a second set of similarity scores between the current case and the at least one precedent case; determine whether a second similarity score of the second set of similarity scores meets a second threshold; and generate a response to the query.

Abstract: Provided is a method for generating a personalized content suggestion in response to a query from a user. The method may be performed by a system comprising one or more processors. The method may include receiving the query from the user, generating one or more user parameters associated with the user, determining a predicted content topic of the query, and generating the content suggestion based on the predicted content topic and the one or more user parameters.

Abstract: Provided is a method for generating a knowledge graph for a topic. First, a set of documents may be received. A user may then provide an indication of exemplary entities associated with a topic of interest. Then, using one or more artificial intelligence models, a plurality of textual entities may be extracted from the documents. A quality level of each extracted textual entity may be determined. Each quality level may indicate a degree of similarity between a textual entity and each exemplary entity of the one or more exemplary entities. Next, a plurality of high-quality textual entities may be identified and categorized according to one or more sub-topics associated with the topic. Connection information indicating relationships between the sub-topics may be determined. Finally, a knowledge graph for the topic that represents the sub-topics in the documents and the relationships between said sub-topics may be generated.

Abstract: An exemplary system for constructing data structures that can perform inferential reasoning to answer input queries may receive input data, extract and cluster entities in the input data into topic clusters, and for a first topic cluster construct a data structure comprising a plurality of nodes, wherein nodes of the data structure respectively represent a topic entity extracted from the input data and grouped into the first topic cluster, and wherein a first node of the data structure is associated with a second node of the data structure based on the first node and the second node respectively representing a first topic entity and a second topic entity associated in the input data with a common one of the one or more identified linguistic modalities. An exemplary system comprising the data structure may receive an input query and generate a response to the input query using the data structure.

Abstract: A line launcher includes a launcher body extending along a longitudinal axis between a rear end and a front end. The line launcher further includes a handle, a trigger, and a removable battery. The line launcher further includes a compressed gas charge assembly. The line launcher further includes an elongated barrel coupled to the body at the front end. The line launcher further includes a throwline assembly, the throwline assembly including a projectile and a throwline, the projectile insertable into and ejectable from the elongated barrel.

Abstract: A computer-implemented method and corresponding system perform generative design of an energy storage device. The method automatically builds at least one model of the energy storage device. The building is based on a design parameter space and employs a machine learning process. The method automatically performs a simulation of the energy storage device using the design parameter space, a design evaluation space, and the at least one model built. The performing produces at least one prediction. The method automatically evolves at least one of (i) the design parameter space and (ii) the design evaluation space. In an event the at least one prediction indicates that a product design objective or model design objective has been achieved, the method automatically converges on the design parameter space evolved, thereby completing a generative design of the energy storage device and, otherwise, repeats the building, performing, and evolving.

Abstract: A computer-implemented method and corresponding computer-based system generate a three-dimensional (3D) multi-scale model of a 3D system. The computer-implemented method generates, at a given scale, an artifact model that indicates properties, characteristics, and artifacts of the 3D system. The computer-implemented method modifies a series of representational models of the 3D system based on the artifact model generated. Modifying the series includes mapping the properties, characteristics, and artifacts to a representational model in the series of representational models at a higher scale or lower scale relative to the given scale. The mapping bridges a given representational model of the series of representational models at the given scale and the representational model at the higher scale or lower scale.

Abstract: Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.

Abstract: A ceramic matrix composite (CMC) is formed by infiltrating a metal or alloy into a fiber preform in a reactor or furnace that is separated into multiple discrete temperature zones. The gradual cooling of the CMC is controlled, such that upon solidification, a narrow, planar, solidification front is created which allows the expanding metal or alloy to move into a hotter section of the fiber preform, opposed to the surface of the CMC. A discrete solidification front is established that moves through the ceramic matrix composite (CMC) as the composite cools.

Abstract: A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

Abstract: The invention provides a sensor assembly embeddable within an oral appliance comprising a sensing means; and a data processing means coupled to the sensing means for processing data obtained by the sensing means; wherein the sensing means and the data processing means are sealed within a deformable layer.

Abstract: Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.

Abstract: Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.

Abstract: A network system is configured to facilitate a safe service coordination environment. The network system detects abnormal user states (e.g., sleepiness, inebriation, etc.) and provides corrective recommendations to those users. To do so, client devices executing an application send information associated with the service to the network system. The network system determines an aggregate set of service characteristics based on the aggregate telematics data. The network system also determines a provider profile for a provider providing service in the environment describing the deviation of the user's driving characteristics from the aggregate service characteristics. Based on the difference between the aggregate characteristics and the user profile, the network system determines the provider state using a state verification process. Based on the determined provider state, the network system determines a set of corrective recommendations and sends the corrective recommendations to the provider device.

Abstract: A blade track assembly is disclosed. The blade track assembly comprises a plurality of ceramic matrix composite blade track segments arranged circumferentially adjacent to one another around a central axis. Each of the blade track segments includes an arcuate runner extending in a circumferential direction around a portion of the central axis and is coupled to circumferentially adjacent blade track segments.

Abstract: A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

Abstract: A network system is configured to facilitate a safe service coordination environment. The network system detects abnormal user states (e.g., sleepiness, inebriation, etc.) and provides corrective recommendations to those users. To do so, client devices executing an application send information associated with the service to the network system. The network system determines an aggregate set of service characteristics based on the aggregate telematics data. The network system also determines a provider profile for a provider providing service in the environment describing the deviation of the user's driving characteristics from the aggregate service characteristics. Based on the difference between the aggregate characteristics and the user profile, the network system determines the provider state using a state verification process. Based on the determined provider state, the network system determines a set of corrective recommendations and sends the corrective recommendations to the provider device.