Abstract: Aspects of the present disclosure are directed to an integration framework for two-dimensional (2D) and three-dimensional (3D) elements in an artificial reality (XR) environment. The 2D and 3D integration framework can implement a two-layered application programming interface (API) system, where a developer can use a declarative API to define nodes by executing pre-defined functions, and an imperative API defines to define node by specifying one or more functions for those nodes. The framework can traverse a component tree of such nodes to extract and add the 2D elements onto a 2D panel in a first pass. In a second pass, the framework can extract the 3D elements, and determine how the 2D and 3D elements translate into a 3D world view. Based on this determination, the framework can draw selected 2D and 3D elements into the 3D world view, which can be rendered in the XR environment on an XR device.

Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.

Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.

Abstract: Systems and methods for dynamic detection of security features based on self-supervised natural language extraction from unstructured data sets are disclosed. The system may receive an unstructured data array including a full text of financial narrative. The system may serialize the unstructured data array to form one or more first data arrays including portions of the full text as discrete financial risk narratives. The system may build a tokenization dictionary and determine condensed summaries for each portion of the full text. The system may determine a relevancy score and a sentiment score for each condensed summary and calculate an overall relevancy score as a weighted average of the relevancy score and the sentiment score. When the overall risk score exceeds a predetermined threshold, the system may execute one or more security actions.

Abstract: A server system obtains markup code for a native application for client devices. The markup code is agnostic regarding types of client devices. The server system translates the markup code into a set of primitives. Client devices of multiple types running a native application send a request for content for the native application to the server system. The server system provides the set of primitives to the client devices of multiple types, and the client devices render the set of primitives in the native application.

Abstract: A server system obtains markup code for a native application for client devices. The markup code is agnostic regarding types of client devices. The server system translates the markup code into a set of primitives. Client devices of multiple types running a native application send a request for content for the native application to the server system. The server system provides the set of primitives to the client devices of multiple types, and the client devices render the set of primitives in the native application.

Abstract: A gas turbine engine component includes a body defining a cooling inlet and a cooling outlet in fluid communication through a cooling channel extending through the body, and a plurality of pedestals positioned in the cooling channel. The plurality of pedestals arranged such that the adjacent pedestals alternatingly converge toward a first wall of the cooling channel and toward a second wall, opposite the first wall. A gas turbine engine includes a combustor, and a plurality of gas turbine engine components positioned in fluid communication with the combustor. Each component includes a body defining a cooling inlet and a cooling outlet in fluid communication through a cooling channel extending through the body. A plurality of pedestals are positioned in the cooling channel and are arranged such that the adjacent pedestals alternatingly converge toward a first wall of the cooling channel and toward a second wall, opposite the first wall.