Abstract: A method for executing actions based on event data using machine learning is disclosed. The method comprises: receiving occasion data associated with a user; analyzing, using a trained machine learning model, the occasion data to identify an occasion associated with a first classification, wherein the trained machine learning model has been trained based on (i) training occasion data that includes information regarding one or more occasions associated with the training occasion data and (ii) training classification data that includes a prior classification for each of the occasions, to learn relationships between the training occasion data and the training classification data, such that the trained machine learning model is configured to use the learned relationships to identify an occasion associated with a first classification in response to input of the occasion data; determining an action based on the occasion associated with the first classification; and automatically executing the action.

Abstract: A method for machine-learning based action generation, and more specifically, using machine-learning to dynamically adjust financial account payments and fees. The method may comprise: receiving user data; determining whether a trigger condition has been met; upon determining that a trigger condition has been met, generating, using a trained machine-learning model, one or more actions based on the user data associated with the user, wherein the trained machine-learning model has been trained based on (i) training user data and (ii) training action data, to learn relationships between the training user data and the training actions data, such that the trained machine-learning model is configured to use the learned relationships to generate one or more actions in response to input of the user data associated with the user; selecting a first action of the one or more actions; and automatically executing the first action.

Abstract: A novel maize variety designated X13R056 and seed, plants and plant parts thereof are produced by crossing inbred maize varieties. Methods for producing a maize plant by crossing hybrid maize variety X13R056 with another maize plant are disclosed. Methods for producing a maize plant containing in its genetic material one or more traits introgressed into X13R056 through backcrossing or genetic transformation, and to the maize seed, plant and plant part produced thereby are described. Maize variety X13R056, the seed, the plant produced from the seed, and variants, mutants, and minor modifications of maize variety X13R056 are provided. Methods for producing maize varieties derived from maize variety X13R056 and methods of using maize variety X13R056 are disclosed.

Abstract: Systems and methods for external account authentication are disclosed herein. They include receiving a call to pair the external account with a secure account, extracting external data from the external account, the external data corresponding to external account content, providing user activity data from the secure account as an input to an authentication machine learning model, providing the external data as an input to the authentication machine learning model, the authentication machine learning model configured to output a certainty level that the external account is associated with a user of the secure account based on the external data and the activity data, receiving the certainty level from the authentication machine learning model, determining that the certainty level meets a certainty threshold, and pairing the external account with the secure account based on determining that the certainty level meets the certainty threshold.

Abstract: A gas turbine engine includes an aft frame and a forward frame disposed upstream from the aft frame. The forward frame includes an outer ring. The outer ring includes an inner surface that is radially spaced from an outer surface. A first indention is defined in the outer surface, and a first engine mount flange protrudes radially outwardly from the first indention.

Abstract: The present disclosure provides systems and techniques that can be implemented in a gun. The gun may include or be coupled with a slide cover. The slide cover may include a first slide cover recess along a latitudinal axis of the slide cover, the first slide cover recess comprising a first cavity of a first portion of the slide cover and a first cavity of a second portion of the slide cover. The slide cover may include a second slide cover recess along the latitudinal axis of the slide cover, the second slide cover recess comprising a second cavity of the first portion of the slide cover and a second cavity of the second portion of the slide cover. The slide cover may include a first retainer coupling a sight component with the slide cover such that a longitudinal axis of the sight component is substantially parallel with a longitudinal axis of the slide cover.

Abstract: A system automatically manages remote and local data through a declarative client that retrieves, tracks, and caches data in response to a transmission from an interface. The declarative client sits on an immutable image served by a secure private cloud platform. A serverless compute engine receives the immutable image and a plurality of tasks that process the immutable image in a container. An application programming interface in communication with the declarative client extracts data via queries from a database. The declarative client includes a normalized in-memory cache that breaks up results of the queries into individual objects that are each associated with a unique identifier and a unique name. The extracted data is deconstructed downloaded content in which original computer assigned links between data elements are intercepted and mapped to redirected computer-generated local links that locate the downloaded content in a local database.

Abstract: A system automatically manages remote and local data through a declarative client that retrieves, tracks, and caches data in response to a transmission from an interface. The declarative client accesses an immutable image served by a secure cloud platform. A serverless compute engine receives the immutable image and a plurality of tasks that process the immutable image in a container. An application programming interface in communication with the declarative client extracts data via queries from a database. The declarative client includes an in-memory cache that stores broken up results of the queries into individual objects that are each associated with a unique identifier. The extracted data is deconstructed downloaded content in which assigned links between data elements are mapped to redirected computer-generated links that locate the downloaded content.

Abstract: A system automatically manages remote and local data through a declarative client that retrieves, tracks, and caches data in response to a transmission from an interface. The declarative client sits on an immutable image served by a secure private cloud platform. A serverless compute engine receives the immutable image and a plurality of tasks that process the immutable image in a container. An application programming interface in communication with the declarative client extracts data via queries from a database. The declarative client includes a normalized in-memory cache that breaks up results of the queries into individual objects that are each associated with a unique identifier and a unique name. The extracted data is deconstructed downloaded content in which original computer assigned links between data elements are intercepted and mapped to redirected computer-generated local links that locate the downloaded content in a local database.