Abstract: In one aspect, a computerized method for implementing the behavior of an entity mapper comprising: creating an entity mapper comprising a plurality of entities, wherein each entity of the plurality of entities; configuring each entity of the plurality of entities to be rearranged by a horizontal dragging operation and a scrolling operation; and configuring each entity of the plurality of entities as a digital display image comprising an entity icon.

Abstract: The present disclosure relates to nanoparticle compositions and uses thereof for treating or preventing HIV infection.

Abstract: Systems, computer program products, and methods are described herein for automatically generating resource distributions. The present invention may be configured to receive a text-based instruction and parse, using a machine learning model, the text-based instruction to generate a structured resource distribution including predicted distribution elements. The present invention may be configured to generate, based on the structured resource distribution, a resource distribution. In some embodiments, the text-based instruction may include an email message, an SMS message, recorded speech converted to text, text input to a chat function, text recognized in an image, and/or the like.

Abstract: Systems, computer program products, and methods are described herein for automatically generating resource distributions. The present invention may be configured to receive a text-based instruction and determine, based on the text-based instruction, a sender alias from which the text-based instruction was sent. The present invention may be configured to determine, based on user data in a user information data structure, a user associated with the sender alias, determine, based on user data associated with the user in the user information data structure and based on predicted distribution elements from a machine learning model, actual distribution elements, and generate, based on the actual distribution elements, a resource distribution.

Abstract: Systems and methods for recognizing and depositing digital files. Receive an unidentified file. Identify a target client and at least one account associated with the unidentified file. Segment the unidentified file into one or more document images. For each document image: scan the image and extract content, label the image based on its content, select an account of the target client, and deposit the labeled image in the selected account.

Abstract: Systems, computer program products, and methods are described herein for automatically generating resource distributions. The present invention may be configured to receive a text-based instruction and parse, using a machine learning model, the text-based instruction to generate a structured resource distribution including predicted distribution elements. The present invention may be configured to generate, based on the structured resource distribution, a resource distribution. In some embodiments, the text-based instruction may include an email message, an SMS message, recorded speech converted to text, text input to a chat function, text recognized in an image, and/or the like.

Abstract: Systems, computer program products, and methods are described herein for automatically generating resource distributions. The present invention may be configured to receive a text-based instruction and determine, based on the text-based instruction, a sender alias from which the text-based instruction was sent. The present invention may be configured to determine, based on user data in a user information data structure, a user associated with the sender alias, determine, based on user data associated with the user in the user information data structure and based on predicted distribution elements from a machine learning model, actual distribution elements, and generate, based on the actual distribution elements, a resource distribution.

Abstract: A database management system for processing large volumes of data in a key-value store database is provided. The system may be configured to receive a plurality of filled fillable request forms where each request form may include a request including a plurality of field labels and a plurality of fillable text fields corresponding to each of the plurality of the field labels. The system may be configured to extract each set of inputted data from each fillable text field. The system may be configured to store, in the key-value store database, for each request form, each of the plurality of field labels and the corresponding set of inputted data as a combination key-value pair. The combination key may be equal to a WIP ID number, form ID number and field ID number. The corresponding value may be equal to the set of data of the corresponding field ID number.

Abstract: Systems and methods for recognizing and depositing digital files. Receive an unidentified file. Identify a target client and at least one account associated with the unidentified file. Segment the unidentified file into one or more document images. For each document image: scan the image and extract content, label the image based on its content, select an account of the target client, and deposit the labeled image in the selected account.

Abstract: Systems and methods for recognizing and depositing digital files. Receive an unidentified file. Identify a target client and at least one account associated with the unidentified file. Segment the unidentified file into one or more document images. For each document image: scan the image and extract content, label the image based on its content, select an account of the target client, and deposit the labeled image in the selected account.

Abstract: A database management system for processing large volumes of data in a key-value store database is provided. The system may be configured to receive a plurality of filled fillable request forms where each request form may include a request including a plurality of field labels and a plurality of fillable text fields corresponding to each of the plurality of the field labels. The system may be configured to extract each set of inputted data from each fillable text field. The system may be configured to store, in the key-value store database, for each request form, each of the plurality of field labels and the corresponding set of inputted data as a combination key-value pair. The combination key may be equal to a WIP ID number, form ID number and field ID number. The corresponding value may be equal to the set of data of the corresponding field ID number.

Abstract: An airbag electronic control unit for a vehicle includes a main controller unit (MCU) for, in response to detecting a vehicle event, actuating at least one protection device in the vehicle. A battery is provided for receiving power from the vehicle to power the MCU such that power to the MCU is continuous.

Abstract: A database management system for processing large volumes of data in a key-value store database is provided. The system may be configured to receive a plurality of filled fillable request forms where each request form may include a request including a plurality of field labels and a plurality of fillable text fields corresponding to each of the plurality of the field labels. The system may be configured to extract each set of inputted data from each fillable text field. The system may be configured to store, in the key-value store database, for each request form, each of the plurality of field labels and the corresponding set of inputted data as a combination key-value pair. The combination key may be equal to a WIP ID number, form ID number and field ID number. The corresponding value may be equal to the set of data of the corresponding field ID number.

Abstract: Systems and methods for recognizing and depositing digital files. Receive an unidentified file. Identify a target client and at least one account associated with the unidentified file. Segment the unidentified file into one or more document images. For each document image: scan the image and extract content, label the image based on its content, select an account of the target client, and deposit the labeled image in the selected account.

Abstract: A database management system for processing large volumes of data in a key-value store database is provided. The system may be configured to receive a plurality of filled fillable request forms where each request form may include a request including a plurality of field labels and a plurality of fillable text fields corresponding to each of the plurality of the field labels. The system may be configured to extract each set of inputted data from each fillable text field. The system may be configured to store, in the key-value store database, for each request form, each of the plurality of field labels and the corresponding set of inputted data as a combination key-value pair. The combination key may be equal to a WIP ID number, form ID number and field ID number. The corresponding value may be equal to the set of data of the corresponding field ID number.

Abstract: Object clustering methods, ensemble clustering methods, data processing apparatuses, and articles of manufacture are described according to some aspects.