Abstract: Methods, systems, and techniques for applying machine learning in a hybrid cloud computing environment. A request to perform a forecasting task is received at a private cloud endpoint. The task may be, for example, a sequential forecasting task such as volume forecasting or anomaly detection based on historical log data. A proxy is used to route the request to a trained machine learning model running in a public cloud by connecting the private cloud endpoint to the public cloud endpoint. The proxy can also select one of multiple public clouds and one of multiple trained machine learning models to which the request is routed.

Abstract: Provided are computer-implemented systems and methods for providing improved rule-based machine translation, including a memory having a plurality of text translations, each text translation comprising an input text element and an output text element; at a processor: generating a text translation cluster comprising a plurality of matching text translations in the plurality of text translations, the text translation cluster associating the plurality of matching text translations; receiving the plurality of matching text translations associated with the text translation cluster; generating a first translation rule corresponding to the input text elements of the text translation cluster and a second translation rule corresponding to the output text elements; generating a machine translation rule based on the first translation rule and the second translation rule, the machine translation rule comprising a template and at least one converter; receiving an input text element for translation; and determining an outp

Abstract: Provided are computer implemented systems and methods for generating a user interface for language translation, including: providing domain specific machine translation models; generating a machine translation user interface comprising an input text element; outputting the machine translation user interface; receiving user input text at the input text element in a first language from a first user; selecting a selected domain specific machine translation model in the domain specific machine translation models by applying a machine selector model of the machine selector module, the machine selector model for selecting the selected domain specific machine translation model by classifying the input text element as in-domain for the selected domain specific translation model; translating the input text element from a first language into a second language as an output text element based on the selected domain specific machine translation model; and updating the machine translation user interface to comprise the out

Abstract: Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text Selement. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.

Abstract: The present disclosure relates to a membrane filter for water and wastewater treatment including a membrane filter, hydrophilic polymers formed on the membrane filter; and quorum quenching microorganisms cross-linked with the membrane filter by the hydrophilic polymer. The quorum quenching microorganisms are attached to the surface of the membrane filter for water and wastewater treatment, resulting in a higher initial permeation pressure than a conventional membrane, but the quorum quenching microorganisms may effectively prevent the phenomenon of quorum sensing, allowing the formation of a biofilm, thereby improving the life of the membrane filter for water and wastewater treatment.

Abstract: Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text Selement. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.

Abstract: Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text element. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.

Abstract: Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text element. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.