Abstract: In some embodiments, at a first time, a computing system receives a classification request specifying query content. The system executes a first pre-trained AI-generated content classifier in the set of AI-generated content classifiers on the query content to compute a set of confidence scores proportional to predicted probabilities that the query content includes content data produced by a generative AI model. The set of confidence scores is generated based on parameters learned by the first pre-trained AI-generated content classifier during a training stage. The classification results are output based on the set of confidence scores at approximately the first time.

Abstract: In some embodiments, a method receives query content that includes first visual data and select reference content that includes second visual data. A first visual feature mapping for the query content is generated using a model that is trained to generate visual feature mappings using content pairs where alterations in one instance of the content pair are used in the training. A second visual feature mapping is determined for the reference content. The second visual feature mapping is determined using the model. The method compares the first visual feature mapping and the second visual feature mapping to generate a score that rates a similarity between the query content and the reference content. The score is based on recognizing an alteration in one instance of the query content and the reference content. The score is output.

Abstract: Compositions comprising a) a metal detergent and b) an acid comprising at least one hydrocarbyl-substituted carboxylic acid. The metal detergent comprises at least one alkali metal, alkaline earth metal, or combinations thereof. The weight ratio of the metal detergent a) to the acid b) ranges from 50:1 to 1:10, or 25:1 to 1:10, or 10:1 to 1:10, or 5:1 to 1:7, or 2:1 to 1:3. The compositions may be added to industrial coating or lubricant compositions to reduce corrosion of metal components.

Abstract: Described techniques enable thwart detection for warning lights associated with recording devices, such as cameras. A warning light may be used to alert bystanders that a recording is in progress, but an operator of a recording device may attempt to circumvent the warning light by obstructing the warning light. A lightpipe or other light guiding element may be used to guide a redirection of the warning light to a light sensor. Then, when the redirection exceeds a threshold, which may be determined based in part on a baseline level of ambient light, recording operations of the recording device may be automatically deactivated.

Abstract: A valve seat and blast tube assembly is provided herein. The valve seat and blast tube assembly may include a ceramic valve seat liner positioned within a valve seat housing. The valve seat may be configured to couple to a blast tube/choke assembly.

Abstract: Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.

Abstract: In some embodiments, a method receives a text prompt and executes a text encoder on the text prompt to generate an embedding representation. A set of base images is generated based on the embedding representation and parameters of a base image generation model. A high resolution model is executed to upsample one or more base images in the set of base images based on parameters of the high resolution model to generate a set of final images. The method ranks the set of base images or the set of final images using reward values that are generated by a reward model. The reward model is trained using human input that provided feedback on a quality of generated images using the base image generation model and the high resolution model. One or more final images are output based on the ranking in response to the text prompt.

Abstract: A valve seat and blast tube assembly is provided herein. The valve seat and blast tube assembly may include a ceramic valve seat liner positioned within a valve seat housing. The valve seat may be configured to couple to a blast tube/choke assembly.

Abstract: Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.

Abstract: A valve seat assembly is provided herein. The valve seat may include a ceramic valve seat liner positioned within an upper segment that is proximal to a lower segment. An upper retaining ring may at least partially surround the upper segment.

Abstract: Described techniques enable thwart detection for warning lights associated with recording devices, such as cameras. A warning light may be used to alert bystanders that a recording is in progress, but an operator of a recording device may attempt to circumvent the warning light by obstructing the warning light. A lightpipe or other light guiding element may be used to guide a redirection of the warning light to a light sensor. Then, when the redirection exceeds a threshold, which may be determined based in part on a baseline level of ambient light, recording operations of the recording device may be automatically deactivated.

Abstract: Compositions comprising a) a metal detergent and b) an acid comprising at least one hydrocarbyl-substituted carboxylic acid. The metal detergent comprises at least one alkali metal, alkaline earth metal, or combinations thereof. The weight ratio of the metal detergent a) to the acid b) ranges from 50:1 to 1:10, or 25:1 to 1:10, or 10:1 to 1:10, or 5:1 to 1:7, or 2:1 to 1:3. The compositions may be added to industrial coating or lubricant compositions to reduce corrosion of metal components.

Abstract: A system stores a plurality of data models, each data model being configured to sort datasets based on a set of criteria unique to the data model. The system further identifies a plurality of content streams on a plurality of content streaming platforms. The system then executes each data model of the plurality of data models on each content stream of the plurality of content streams to generate a labeled content file of each content stream of the plurality of content streams.

Abstract: A system executes a logo detection data model that processes, using computer processing resources, content data to detect a plurality of logos in the content data. The logo detection data model further automatically labels each detected logo of the plurality of logos in the content data.

Abstract: A method for editing and updating content of a collaborative document within a preview user interface is provided. The method includes receiving, by a content management platform, a request for a document stored within the content management platform in a format of a first application, wherein the request is received from a client device of a first user of the content management platform via a second application that is different from the first application, and wherein the document includes a first comment provided by a second user of the content management platform at a first point in time with respect to a first portion of the collaborative document.

Abstract: Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.

Abstract: Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.

Abstract: A method for editing and updating content of a collaborative document within a preview user interface is provided. The method includes a content management platform receives a request for a file stored which is stored in a third-party application format. The system causes a rendered graphical image of the file to be presented within a preview user interface. The rendered graphical image of the file represents a view of the file as if opened within a third-party application. The system receives from the preview user interface, content associated with a portion of the file. The system generates a new version of the file that includes the content associated with the portion of the file.

Abstract: A valve seat is provided herein. The valve seat may include a ceramic valve seat insert positioned within a metal valve seat housing and comprising an indentation corresponding to a retention lip of the metal valve seat housing and a compliant sleeve positioned coaxially around at least a portion of an outer surface of the ceramic valve seat insert.

Abstract: One or more datasets are received by a data wrangling module and wrangled into a form that is computationally actionable by a user. At least some data from the one or more datasets are enriched by one or more data enrichment modules to generate an enriched form of at least some data corresponding to the one or more datasets that is computationally actionable by the user. The one or more datasets and the enriched form of the at least some data are processed by a signal detection module to identify relationships, anomalies, and/or patterns within the one or more datasets.