Abstract: In various examples, a conversational artificial intelligence (AI) platform uses structured data and unstructured data to generate responses to queries from users. In an example, if data for a response to a query is not stored in a structured data structured, the conversational AI platform searches for the data in an unstructured data structure.

Abstract: A nuclear reactor coated cladding may include a steel cladding having opposed interior and exterior surface and a coating disposed on the interior surface, wherein: the coating is a thermal and radiation resistant multilayer coating comprising: a ceramic layer in contact with the steel cladding, a metal oxide region separated from the ceramic layer by a metal layer, a metal nitride region separated from the metal oxide region by a metal layer, and the metal nitride region comprises at least two metal nitride layers, the metal oxide region comprises at least two metal oxide layers, each metal oxide layer and each metal nitride layer is separated from an adjacent layer by a metal layer, and a thickness of the metal layers in the metal nitride region is greater than a thickness of at least one of the metal layers in the metal oxide region.

Abstract: Provided herein are methods of preparing beta silicon carbide (?-SiC) fiber, comprising: immersing a carbon fiber in a molten silicon bath at a temperature of up to 1650° C. and a pressure of 0.9 to 1.1 atm in an inert atmosphere and retaining the carbon fiber in the molten silicon bath for a hold time to react the carbon fiber with silicon present in the molten silicon bath and produce ?-SiC fiber. Also provided herein are methods of preparing ?-SiC fiber, comprising: immersing a carbon fiber in silicon powder at a temperature of 650° C. to 800° C. to thereby coat the carbon fiber with the silicon powder, and transferring the coated carbon fiber to a heating zone and heating the silicon powder coated carbon fiber to a temperature of 1400° C. up to 1650° C. to react the carbon fiber and the silicon powder to form ?-SiC fiber.

Abstract: Systems and methods are disclosed herein for implementation of a vehicle command operation system that may use multi-modal technology to authenticate an occupant of the vehicle to authorize a command and receive natural language commands for vehicular operations. The system may utilize sensors to receive data indicative of a voice command from an occupant of the vehicle. The system may receive second sensor data to aid in the determination of the corresponding vehicular operation in response to the received command. The system may retrieve authentication data for the occupants of the vehicle. The system authenticates the occupant to authorize a vehicular operation command using a neural network based on at least one of the first sensor data, the second sensor data, and the authentication data. Responsive to the authentication, the system may authorize the operation to be performed in the vehicle based on the vehicular operation command.

Abstract: Provided herein is a hydrogen permeation barrier coating, a coated substrate, and methods of coating a substrate.

Abstract: Systems and methods are disclosed herein for implementation of a vehicle command operation system that may use multi-modal technology to authenticate an occupant of the vehicle to authorize a command and receive natural language commands for vehicular operations. The system may utilize sensors to receive data indicative of a voice command from an occupant of the vehicle. The system may receive second sensor data to aid in the determination of the corresponding vehicular operation in response to the received command. The system may retrieve authentication data for the occupants of the vehicle. The system authenticates the occupant to authorize a vehicular operation command using a neural network based on at least one of the first sensor data, the second sensor data, and the authentication data. Responsive to the authentication, the system may authorize the operation to be performed in the vehicle based on the vehicular operation command.

Abstract: The disclosure is directed to a process that can predict and prevent an audio artifact from occurring. The process can monitor the systems, processes, and execution threads on a larger system/device, such as a mobile or in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio artifact is likely to occur. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio artifact has been prevented, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: A method for coating a coolant metal on a ceramic substrate comprises modification of the substrate surface to provide an oxide free surface upon which the coolant metal is deposited.

Abstract: A method of wireless communication at a UE is disclosed herein. The method includes obtaining an indication of an occurrence of a GNSS error. The method includes storing, in memory and based on the indication, first position information for the UE that was obtained prior to the obtainment of the indication. The method includes obtaining, subsequent to an error recovery process, second position information for the UE. The method includes accepting or rejecting the second position information based on a comparison of the first position information, the second position information, and a set of conditions for the first position information and the second position information.

Abstract: Fuel pellets can include a fission material powder, a protective layer coated on the fission material powder, and an oxidation diffusion barrier coated on the protective layer, with the protective layer and oxidation diffusion barrier being formed through ALD to achieve infiltration of the coatings within the fuel pellets.

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

Abstract: The disclosure is directed to a process that can predict and prevent an audio artifact from occurring. The process can monitor the systems, processes, and execution threads on a larger system/device, such as a mobile or in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio artifact is likely to occur. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio artifact has been prevented, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

Abstract: The disclosure is directed to a process that can predict and prevent an audio artifact from occurring. The process can monitor the systems, processes, and execution threads on a larger system/device, such as a mobile or in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio artifact is likely to occur. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio artifact has been prevented, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: A corrosion resistant coating suitable for use in harsh environments, such as for protecting a temperature probe for continuous use in the Hall-Héroult process can include at least one first layer comprising a metal boride and at least one second layer comprising a metal interposed between the substrate and the at least one metal boride layer. The coating can have a thickness of less than 10 micrometers.

Abstract: A method of the producing nanocrystalline silicon particulate from a silicate source includes removing contaminants, such as organics and heavy metals, and alumina from the silicate source by treating the silicate source with first and second acidic leaching solutions to form a first intermediate product. The first intermediate product is then reduced by reacting with a magnesium vapor to provide porous magnesiated silicon particulates as a second intermediate product. The second intermediate product is treated with a third leaching solution to remove magnesium and magnesium containing compounds form the second intermediate to thereby provide a third intermediate. The third intermediate is treated with a fourth leaching solution for removing remnant silica to thereby provide nanocrystalline porous silicon particles.

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

Abstract: Apparatuses, systems, and techniques are presented to recognize speech in an audio signal. In particular, various embodiments can indicate an end of one or more speech segments based, at least in part, on one or more characters predicted to be within these one or more speech segments.

Abstract: In various examples, a conversational artificial intelligence (AI) platform uses structured data and unstructured data to generate responses to queries from users. In an example, if data for a response to a query is not stored in a structured data structured, the conversational AI platform searches for the data in an unstructured data structure.