Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: In some implementations, a recommendation system may input text into a machine learning model that was trained using input specific to an organization associated with the text and was refined using input specific to a portion of the organization. The recommendation system may receive, from the machine learning model, a recommendation indicating one or more visual components, stored in a database associated with the organization, to use with the text. The machine learning model may use natural language processing and sentiment detection to parse the text. Accordingly, the recommendation system may receive the one or more visual components from the database and generate an initial draft including the text and the one or more visual components.

Abstract: A data security and fraud prevention system is configured to transmit a web form to a first device, receive through the web form first data including first user private data associated with a first user, receive a request to share the web form with a second user, create a cache storage and an unique identifier associated with the web form, and mask the first user private data to prevent access to the first user private data by the second user. The data security and fraud prevention system is further configured to encrypt the unique identifier, generate a share session between the first device and a second device associated with the second user, receive through the web form second data including second user private data associated with the second user, mask the second user private data to prevent access to the second user private data by the first user, and aggregate the first data and the second data to complete the web form.

Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: In some implementations, a recommendation system may input text into a machine learning model that was trained using input specific to an organization associated with the text and was refined using input specific to a portion of the organization. The recommendation system may receive, from the machine learning model, a recommendation indicating one or more visual components, stored in a database associated with the organization, to use with the text. The machine learning model may use natural language processing and sentiment detection to parse the text. Accordingly, the recommendation system may receive the one or more visual components from the database and generate an initial draft including the text and the one or more visual components.

Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: Methods and systems for a service worker framework are provided herein. When a web application is accessed through a web browsing application, the web browsing application may invoke a service worker specifically created for the web application. The service worker may serve as an intermediary between the web application and the web browsing application and may intercept application data transmitted between the web browsing application and the web application. For example, the service worker may extract and encrypt any identification data included in the application data when it is received by a web browsing application. The service worker may store the encrypted identification data, for example, within the cache of the web browsing application and send modified application data to the web application (e.g., excluding the identification data).

Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: A data security and fraud prevention system is configured to transmit a web form to a first device, receive through the web form first data including first user private data associated with a first user, receive a request to share the web form with a second user, create a cache storage and an unique identifier associated with the web form, and mask the first user private data to prevent access to the first user private data by the second user. The data security and fraud prevention system is further configured to encrypt the unique identifier, generate a share session between the first device and a second device associated with the second user, receive through the web form second data including second user private data associated with the second user, mask the second user private data to prevent access to the second user private data by the first user, and aggregate the first data and the second data to complete the web form.

Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: The present invention is directed to, among other things, processes for purifying polyether polyols via treatment with an ion exchange resin in which the ion exchange resin is disposed in a container that is operated liquid-full.

Abstract: A device receives user interface information associated with a user interface to be provided for a particular platform, and receives design information for a design of the user interface to be provided for the particular platform. The device receives a request to visually compare the user interface information and the design information, and utilizes, based on the request, a trained machine learning model to visually compare the user interface information and the design information. The device generates information, indicating defects in the user interface information, based on utilizing the trained machine learning model to visually compare the user interface information and the design information, where the defects include user interface information that does not visually match the design information. The device provides the information indicating the defects in the user interface information.

Abstract: An exemplary process includes determining a desired pore size, selecting an initial pore size greater than the target pore size, manufacturing a porous structure with the initial pore size, forging the porous structure to form a forged part having the desired pore size, and forming an orthopedic device from the forged part.

Abstract: An exemplary process includes determining a desired pore size, selecting an initial pore size greater than the target pore size, manufacturing a porous structure with the initial pore size, forging the porous structure to form a forged part having the desired pore size, and forming an orthopedic device from the forged part.

Abstract: A vehicle analysis platform may cause one or more image capture devices to capture a plurality of images. The vehicle analysis platform may cause one or more sensors to provide measurement data associated with one or more operational characteristics of a vehicle. The vehicle analysis platform may determine, based on the plurality of images, one or more features of the vehicle and obtain, based on the one or more features, reference information associated with the vehicle. The vehicle analysis platform may analyze the vehicle based on the plurality of images and the reference information to determine an image score associated with the vehicle. The vehicle analysis platform may analyze the vehicle based on the measurement data and the reference information to determine an operational score associated with the vehicle. The vehicle analysis platform perform an action associated with the vehicle based on the image score and the operational score.

Abstract: A dry powder inhaler consisting of a first chamber having an orifice for holding a dry powder and a gas, and a second chamber directly connected to the first chamber by at least one passageway for receiving an aerosolized form of the dry powder from in the first chamber and delivering the aerosolized dry powder to a user. A pressure sensor monitors the pressure in the second chamber. A vibrator coupled to the first chamber aerosolizes the dry powder and cause the aerosolized powder to move through the passageway whereby to deliver the dry powder from the first chamber to the second chamber as an aerosolized dry powder. A vibrator control unit controls operation of the vibrator based on the monitored pressure in the second chamber and a dosing scheme in which the dosing time is determined by the volume of each inhalation.

Abstract: A vehicle analysis platform may cause one or more image capture devices to capture a plurality of images. The vehicle analysis platform may cause one or more sensors to provide measurement data associated with one or more operational characteristics of a vehicle. The vehicle analysis platform may determine, based on the plurality of images, one or more features of the vehicle and obtain, based on the one or more features, reference information associated with the vehicle. The vehicle analysis platform may analyze the vehicle based on the plurality of images and the reference information to determine an image score associated with the vehicle. The vehicle analysis platform may analyze the vehicle based on the measurement data and the reference information to determine an operational score associated with the vehicle. The vehicle analysis platform perform an action associated with the vehicle based on the image score and the operational score.

Abstract: A device receives user interface information associated with a user interface to be provided for a particular platform, and receives design information for a design of the user interface to be provided for the particular platform. The device receives a request to visually compare the user interface information and the design information, and utilizes, based on the request, a trained machine learning model to visually compare the user interface information and the design information. The device generates information, indicating defects in the user interface information, based on utilizing the trained machine learning model to visually compare the user interface information and the design information, where the defects include user interface information that does not visually match the design information. The device provides the information indicating the defects in the user interface information.

Abstract: An exemplary process includes determining a desired pore size, selecting an initial pore size greater than the target pore size, manufacturing a porous structure with the initial pore size, forging the porous structure to form a forged part having the desired pore size, and forming an orthopedic device from the forged part.

Abstract: An exemplary process includes determining a desired pore size, selecting an initial pore size greater than the target pore size, manufacturing a porous structure with the initial pore size, forging the porous structure to form a forged part having the desired pore size, and forming an orthopedic device from the forged part.