Abstract: A method and apparatus for adapting a pretrained machine learning model using active learning for improved task performance in a target domain includes embedding a vector representation of at least one unlabeled target class data in an embedding space associated with the pretrained machine learning model, analyzing the embedding space to select, for labeling, at least one unlabeled class data representation based on a distance measurement in the embedding space that identifies an unlabeled class data representation that, if labeled, improves a coverage for at least one unlabeled target class data representation in the embedding space, labeling the selected at least one unlabeled class data representation, and adapting the pretrained machine learning model for improved task performance in a domain of the at least one unlabeled target class data for which coverage was improved by retraining the pretrained machine learning model using the labeled unlabeled class data representation.

Abstract: Systems, methods, and apparatuses for image reconstruction. One computer-implemented method includes receiving measurement data representing a subject and generating an image estimate of the subject based on the measurement data. The method also includes refining the image estimate by performing an iterative reconstruction process comprising a plurality of iteration steps, each iteration step comprising (i) computing a data consistency term based on the image estimate and the measurement data, (ii) generating a correction term using a machine learning model based on the image estimate, the data consistency term, the measurement data, and cross-iteration information, and (iii) updating the image estimate based on the correction term, the data consistency term, and a global learning rate corresponding to the iteration step.

Abstract: A method, apparatus and system for adapting a pre-trained network for application to a different dataset includes arranging at least two different types of active adaptation modules in a pipeline configuration, wherein an output of a previous active adaptation module produces an input for a next active adaptation module in the pipeline in the form of adapted network data until a last active adaptation module, and wherein each of the at least two different types of adaptation modules can be switched on or off, determining at least one respective hyperparameter for each of the at least two different types of active adaptation modules, and applying the at least one respective determined hyperparameter to each of the at least two different types of active adaptation modules for processing received data from the pretrained network to determine an adapted network.

Abstract: Embodiments of the present principles generally relate to methods, apparatuses, and systems for improved long video retrieval by training video language models (VLM) using diverse captions. In some embodiments, a method for improved long video retrieval may include generating a plurality of captions of varying dimensions using one or more Large Language Models (LLM); associating the plurality of captions of varying dimensions to one or more videos in one or more video data sets to generate one or more enhanced video data sets; generating an enhanced VLM by finetuning a pretrained video language model using the generated one or more enhanced video data sets; and retrieving one or more videos with a query using the enhanced VLM having a R@K rank.

Abstract: A method for enriching carbon dioxide and hydrogen by water-gas shift coupling of blast furnace gas is disclosed in the present application, belonging to the technical field of flue gas resource utilization, where the method includes: purifying the blast furnace gas by a dry purification method, followed by heating and mixing with water vapor, allowing for water vapor shift coupling reaction under an action of a catalyst to obtain a mixed gas of carbon dioxide and hydrogen; adsorbing the mixed gas of carbon dioxide and hydrogen with a carbon dioxide adsorbent and desorbing to obtain carbon dioxide; introducing a gas not adsorbed by the carbon dioxide adsorbent into a molecular sieve adsorbent to remove impurities, then obtaining a hydrogen. Blast furnace gas is used as raw material, and hydrogen is provided for subsequent hydrogen smelting while realizing carbon enrichment in the blast furnace process.

Abstract: A method, apparatus and system for adapting a language model for understanding domain-specific multimodal content include acquiring domain-specific multimodal content for at least one content domain and applying question/answer pairs to the acquired, domain-specific multimodal content for the at least one content domain to train the language model to learn tasks associated with the domain-specific multimodal content for the at least one domain. As such, the trained language model can be implemented to answer questions directed to the domain-specific multimodal content for the at least one domain.

Abstract: A method, apparatus and system for moderating multilingual content data, for example, presented during a communication session include receiving or pulling content data that can include multilingual content, classifying, using a first machine learning system, the content data by projecting the content data into a trained embedding space to determine at least one English-language classification for the content data, and determining, using a second machine learning system, if the content data violates at least one predetermined moderation rule, wherein the second machine learning system is trained to determine from English-language classifications determined by the first machine learning system if the content data violates moderation rules. In some embodiments, the method apparatus and system can further include prohibiting a presentation of the content data related to the at least one English-language classification determined to violate the at least one predetermined moderation rule.

Abstract: A method, apparatus and system for adapting a pre-trained network for application to a different dataset includes arranging at least two different types of active adaptation modules in a pipeline configuration, wherein an output of a previous active adaptation module produces an input for a next active adaptation module in the pipeline in the form of adapted network data until a last active adaptation module, and wherein each of the at least two different types of adaptation modules can be switched on or off, determining at least one respective hyperparameter for each of the at least two different types of active adaptation modules, and applying the at least one respective determined hyperparameter to each of the at least two different types of active adaptation modules for processing received data from the pretrained network to determine an adapted network.

Abstract: A smart order router for quantitative trading and order routing and corresponding methods and computer readable media are described. The smart order router includes a machine learning prediction engine configured to, responsive to a control signal received from an upstream trading engine including at least a maximum quantity value and an urgency metric, process input data sets through one or more predictive models to generate the one or more potential combinations of child orders and their associated fill probability metrics, toxicity metrics, and expected gain (loss) metrics and an order placement optimization engine configured to receive the one or more potential combinations of child orders and their associated fill probability metrics, toxicity metrics, and expected gain (loss) metrics and to identify an optimum combination of child orders that maximize an objective function.

Abstract: A system for converging a desktop application and a web application is configured to: 1) in response to a request, cause a start of a target desktop application initialization process by the web server; 2) replicate a set of files to a directory for the client; 3) converge the target desktop application and the web application on the web server; 4) receive a target desktop application interaction using the user interface in a web browser; 5) interact with the target desktop application; 6) determine that file(s) in the set of files in the directory for the client are modified; 7) in response to determining that the file(s) are modified, replicate the file(s) determined to be modified to the web server; and 8) stop and exit the target desktop application.

Abstract: The present invention provides a method, Web server and computer system for converging a desktop application and a Web application. The method may comprise: in response to a request from a client user for using a target desktop application, starting a desktop application initialization process on the Web server and determining an appropriate corresponding hosting server for the user; preparing and provisioning desktop application environment on the corresponding hosting server and starting the target desktop application; transmitting the corresponding hosting server's address to the client so as to make desktop application interaction between the client and the corresponding hosting server; and in response to the completion of the desktop application interaction, stopping and exiting the target desktop application on the corresponding hosting server.

Abstract: A method, Web server and computer system for converging a desktop application and a Web application. The method includes: in response to a request from a client user for using a target desktop application, starting a desktop application initialization process on the Web server and determining an appropriate corresponding hosting server for the user; preparing and provisioning desktop application environment on the corresponding hosting server and starting the target desktop application; transmitting the corresponding hosting server's address to the client to make desktop application interaction between the client and the corresponding hosting server; and in response to the completion of the desktop application interaction, stopping and exiting the target desktop application on the corresponding hosting server. The client user is provided with a unified Web console for accessing desktop applications and Web applications and Web files can be shared between the desktop applications and the Web applications.

Abstract: A smart order router for quantitative trading and order routing and corresponding methods and computer readable media are described. The smart order router includes a machine learning prediction engine configured to, responsive to a control signal received from an upstream trading engine including at least a maximum quantity value and an urgency metric, process input data sets through one or more predictive models to generate the one or more potential combinations of child orders and their associated fill probability metrics, toxicity metrics, and expected gain (loss) metrics and an order placement optimization engine configured to receive the one or more potential combinations of child orders and their associated fill probability metrics, toxicity metrics, and expected gain (loss) metrics and to identify an optimum combination of child orders that maximize an objective function.

Abstract: Equipment and a method for circulating fluidized bed semidry simultaneous desulfurization and denitration of a sintering flue gas, comprising an ozone generator (2), a diluting blower (1), a mixing buffer tank (3), an ozone distributor (4), and a circulating fluidized bed (CFB) reactor tower (9). When evenly mixed by the mixing buffer tank (3), ozone is injected into a flue (4?) via the ozone distributor (4); and, an oxidized flue gas is introduced into the CFB reactor tower (9), where NOx, SO2, and SO3 in the flue gas are reacted with a Ca-based absorbent under the action of atomized water in the reactor tower, thus implementing simultaneous removal of SOx and NOx. This provides the characteristics of a simple system, great performance, small footprint, and inexpensive investments.

Abstract: A method, Web server and computer system for converging a desktop application and a Web application. The method includes: in response to a request from a client user for using a target desktop application, starting a desktop application initialization process on the Web server and determining an appropriate corresponding hosting server for the user; preparing and provisioning desktop application environment on the corresponding hosting server and starting the target desktop application; transmitting the corresponding hosting server's address to the client to make desktop application interaction between the client and the corresponding hosting server; and in response to the completion of the desktop application interaction, stopping and exiting the target desktop application on the corresponding hosting server. The client user is provided with a unified Web console for accessing desktop applications and Web applications and Web files can be shared between the desktop applications and the Web applications.

Abstract: An apparatus and corresponding method are provided to match images and include assigning depth candidate values to a pixel in a first image, and reassigning third depth candidate values to a first pixel in the first image based on first depth candidate values assigned to the first pixel and second depth candidate values assigned to a second pixel adjacent to the first pixel. The apparatus and method also include determining one of the third depth candidate values to be a depth value of the first pixel, and matching the first pixel and a third pixel in a second image corresponding to the determined depth value of the first pixel.

Abstract: A method, Web server and computer system for converging a desktop application and a Web application. The method includes: in response to a request from a client user for using a target desktop application, starting a desktop application initialization process on the Web server and determining an appropriate corresponding hosting server for the user; preparing and provisioning desktop application environment on the corresponding hosting server and starting the target desktop application; transmitting the corresponding hosting server's address to the client to make desktop application interaction between the client and the corresponding hosting server; and in response to the completion of the desktop application interaction, stopping and exiting the target desktop application on the corresponding hosting server. The client user is provided with a unified Web console for accessing desktop applications and Web applications and Web files can be shared between the desktop applications and the Web applications.

Abstract: Described herein is a mixing entropy battery including a cationic electrode for sodium ion exchange and an anionic electrode for chloride ion exchange, where the cationic electrode includes at least one Prussian Blue material, and where the mixing entropy battery is configured to convert salinity gradient into electricity.

Abstract: A data processing, and more specifically, to a method and system for portlet scheduling. The method for scheduling a plurality of portlets according to the present invention comprising: obtaining invocation time of the plurality of portlets; obtaining weights of the plurality of portlets; assembling the plurality of portlets into a plurality of threads according to the invocation time and the weights, wherein the assembled plurality of threads has similar thread invocation time. With the method and system for scheduling a plurality of portlets according to illustrative embodiments, the plurality of portlets are assembled into a plurality of threads having similar thread invocation time according to invocation time and importance of each portlet, and the above problems are better solved, thus loading time of the portlets can be significantly reduced, loading efficiency of the portlets can be improved, thereby better improving user experience.

Abstract: A method, Web server and computer system for converging a desktop application and a Web application. The method includes: in response to a request from a client user for using a target desktop application, starting a desktop application initialization process on the Web server and determining an appropriate corresponding hosting server for the user; preparing and provisioning desktop application environment on the corresponding hosting server and starting the target desktop application; transmitting the corresponding hosting server's address to the client to make desktop application interaction between the client and the corresponding hosting server; and in response to the completion of the desktop application interaction, stopping and exiting the target desktop application on the corresponding hosting server. The client user is provided with a unified Web console for accessing desktop applications and Web applications and Web files can be shared between the desktop applications and the Web applications.