Abstract: A system can be used to automatically update a target database. The system can receive input files from an initial database that includes data in a first format. The system can generate enriched files that include entity functions, user functions, and direct updates based on the input files. The system can generate requests based on the entity functions, the user functions, and the direct updates. The enriched files can have a second format that is different than the first format. The system can generate validated enriched files by validating the enriched files and the requests. The system can initiate an automatic update of a target database by transmitting the validated enriched files to the target database that is compatible with the second format.

Abstract: A system receives an input from a user, where the input indicates a request to perform one or more tasks. The system generates a plurality of utterances from the input. Each utterance indicates a different operation. The system determines a sequence of the operations to be performed in order to perform the one or more tasks. The system identifies a conversational software algorithm that is configured to process a respective utterance based on the topic of the utterance. The system communicates each utterance to the respective conversational software algorithm. The system receives responses from the conversational software algorithms. The system determines whether each response is valid. The system generates a final response based on the valid responses. The system outputs the final response.

Abstract: At least one aspect of this disclosure is directed to method of scraping, by a first computing system, one or more first data sources of the first computing system, and one or more second data sources of one or more external computing systems, to compile a first dataset, standardizing, by the first computing system, the first dataset to generate a standardized dataset, applying, by the first computing system, a first artificial intelligence (AI) algorithm to assign labels to data entries of the standardized dataset, compiling, by the first computing system, the standardized dataset having the labels assigned to the respective data entries in a database, receiving, by an AI interface of the first computing system, a query from a computing device, and generating, by the first computing system, a response to the query for delivering via the AI interface to the computing device.

Abstract: A request to execute an application at a secure cryptographic environment of a server may be received. A tag that has been assigned to the application may be received. An attribute of the server may be identified. A determination may be made as to whether the attribute of the server satisfies the tag that has been assigned to the application. In response to determining that the attribute of the server satisfies the tag that has been assigned to the application, an indication may be provided to execute the application at the secure cryptographic environment of the server.

Abstract: A method for locating and mitigating a gas leak includes receiving gas leak sensory data from one or more gas leak detection sensors disposed on a gas-handling system and further receiving environmental conditions data. The method further includes dispatching an unmanned aerial vehicle (UAV) to a location upon detecting a gas leak using the one or more gas leak detection sensors and collecting one or more visual images of the gas-handling system using the UAV once it has reached the location. The method further includes determining, using the one or more visual images, the gas leak sensory data, and the environmental conditions data, a gas leak location and identifying components of the gas-handling system impacted by the gas leak given the gas leak location. The method further includes determining a mitigation action and resolving the gas leak by applying the mitigation action.

Abstract: A computer implemented method of identifying anomalous flight data is provided. The method comprises: receiving a plurality of flight data units in a time series from each of a plurality of different flights, wherein each flight data unit comprises a value for each of a plurality of flight parameters at the same time point; mapping the flight data units as respective data points to a multi-dimensional space, wherein the dimensions of the multi-dimensional space comprise a dimension for each of the plurality of flight parameters; and identifying one or more anomalous flight data units in the received plurality of flight data units by applying a local outlier factor algorithm to the mapped flight data units. A method of maintaining an aircraft, a flight data analyzer, a computer program and a computer-readable storage medium is also provided.

Abstract: Methods and systems disclosed herein relate to preventing transmission of invalid or non-compliant transaction data to other entities. A data-furnishing application accesses first transaction data associated with a first account of a first user. The data-furnishing application applies a plurality of data-processing rules to the first transaction data to determine whether the first transaction data is to be suppressed or furnished to another entity. The data-furnishing application determines, based on outputs generated by applying the plurality of data-processing rules, that the first transaction data violates a first condition associated with a first data-processing rule of the third rule category while satisfying a second condition associated with a second data-processing rule of the second rule category. The data-furnishing application generates a first report that excludes the first transaction data in response to determining that the first transaction data violates the first condition.

Abstract: Disclosed herein are novel methods of treating substance use disorders, mitigating the development of substance addiction, reducing the severity of substance withdrawal symptoms, or reducing or preventing substance relapse by providing to the patient a therapeutically effective amount of a Medication Assisted Treatment agent and a selective dopamine D3 receptor antagonist/partial agonist. In addition, the D3 antagonists/partial agonists described herein may be used to augment the effectiveness of current Medication Assisted Treatment regimens (e.g. methadone or buprenorphine) for the treatment of substance use disorders, including opioid use disorders.

Abstract: A method of manufacturing an optical article includes supplying a first coating composition and supplying one or more additional coating compositions to an ultrasonic discharge nozzle of a coating apparatus. At least one of the first coating composition and the one or more additional coating compositions is a photochromic coating composition. The method includes mixing the first coating composition and the one or more additional coating compositions at the ultrasonic discharge nozzle of the coating apparatus, and applying the mixture of the first coating composition and the one or more additional coating compositions to at least a portion of the optical article so as to provide a pattern on the optical article upon exposure to actinic radiation. The mixture of the first coating composition and the one or more additional coating compositions is applied from the ultrasonic discharge nozzle as a controlled, predetermined pattern of atomized droplets.

Abstract: Techniques for interactive generative design with sensitivity analysis and probability visualization for categorical design variables include a computer-implemented method for evaluating an impact of categorical design variables on a design problem solution comprises receiving information regarding choices for one or more categorical design variables associated with each of a plurality of design members of a design problem, determining a respective sensitivity of an objective function to the choices for the one or more categorical design variables for each design member of the plurality of design members, determining a respective visual aspect for each design member based on the respective sensitivity, displaying, on a user interface, a graphical depiction of the plurality of design members, wherein each design member is displayed using the respective visual aspect, and displaying, on the user interface, a key for interpreting the respective visual aspects.

Abstract: Embodiments of process chambers having cooling plate are provided herein. In some embodiments, a process chamber includes: a chamber body defining an interior volume therein, the chamber body having a view port side having an opening configured as a view port, a pump side having a pump port, and a shutter side opposite the view port side, wherein the port view side, the pump side, and the shutter side are all different sides of the chamber body; a first cooling plate coupled to the view port side and having one or more first coolant channels; a second cooling plate coupled to the pump side and having one or more second coolant channels; and a third cooling plate coupled to the shutter side and having one or more third coolant channels.

Abstract: A method of operating a server is provided that includes providing, with the server, one or more services relating to network access control and management of a network, predicting a network configuration failure associated with the network with a failure prediction model, and generating a network configuration recommendation based on the predicted network configuration failure to avoid the predicted network configuration failure. The failure prediction model can be a machine-learning based network configuration failure prediction model that is trained on past network configuration failure events. Operated in this way, erroneous network configuration issues can be automatically identified and addressed in a timely fashion.

Abstract: A computer-implemented system and method relate to certified robust defenses against adversarial patches. A set of one-mask images are generated using a source image and a first mask at a set of predetermined image regions. The set of predetermined image regions collectively cover at least every pixel of the source image. A particular one-mask image with a highest prediction loss is selected from among the set of one-mask images. A set of two-mask images is generated using the selected one-mask image and a second mask at the set of predetermined image regions. A particular two-mask image with a highest prediction loss is selected from among the set of two-mask images. The machine learning system is trained using a training dataset, which includes the selected two-mask image.

Abstract: A computer-implemented system and method relate to certified robust defenses against adversarial patches. A two-mask image is generated using a first mask and a second mask with respect to a source image. The two-mask image is associated with a highest prediction loss. A set of two-submask images are generated using a first submask and a second submask with respect to the source image. The first submask refers to a portion of the first mask. The second submask refers a portion of the second mask. A machine learning system generates a set of predictions upon receiving the set of two-submask images. A particular two-submask image with a highest prediction loss is selected from among the set of two-submask images. The machine learning system is trained via a training dataset, which includes the source image, the two-mask image, and the selected two-submask image.

Abstract: Systems and methods for transmitting signals through long delay lines are discussed. In some embodiments, a delay line may include: (i) a first delay element comprising: a first input terminal, a first output terminal, and a first reset terminal; and (ii) a second delay element comprising: a second input terminal coupled to the first output terminal, and a second output terminal coupled to the first reset terminal. In other embodiments, a method may include coupling an input terminal of a delay element to an output terminal of a preceding delay element, and coupling an output terminal of the delay element to a reset terminal of the preceding delay element.

Abstract: A network management server may provide options via a user interface for configuring a network and a network policy for the network. The network management server may identify values for network attributes based on the user-selected option(s). The network management server may maintain network entity attribute information and use the network entity attribute information to populate the selectable options based on which conditions and/or actions for the network policy are defined.

Abstract: This specification relates to a composition for topical application on the body surface, such as the skin or mucous membranes. Accordingly, this specification relates to pharmaceutically acceptable blends suitable for preparing pharmaceutical formulations. Furthermore, this specification relates to methods for preparing both blends and pharmaceutical formulations, and their use for pharmaceutical administration.

Abstract: A wall assembly includes a plurality of girders each including a first insulator and having a longitudinal axis, the plurality of first insulators spaced apart along a first direction transverse to the longitudinal axes. Further, the wall assembly includes one or more second insulators, and fastening elements coupled to the plurality of girders and supporting the one or more second insulators along the first direction between sequentially spaced ones of the plurality of girders. Furthermore, the wall assembly includes a first concrete layer coupled to surfaces of the plurality of first insulators and the one or more second insulators.

Abstract: A method includes determining a logical saturation of a memory device in a memory sub-system and adjusting a code rate of the memory device based on the logical saturation, wherein the code rate represents a ratio of user data to a combination of the user data and error correction data.

Abstract: The disclosed embodiments include modular and configurable computer-implemented processes and systems that facilitate real-time inferencing in distributed computing environments. For example, an apparatus may receive a real-time inferencing request from a computing system, and, based on the inferencing request, the apparatus may obtain configuration data associated with a trained machine-learning process. The apparatus may also perform operations that (i) generate the input dataset based on an application of one or more feature-engineering operations to the elements of payload data in accordance with a first portion of the configuration data, and (ii) generate output data based on the application, in real-time, of the trained machine-learning process to the input dataset. The apparatus may transmit, to the computing system, a response to the real-time inferencing request that includes at least at least a portion of the output data.