Morrall, Jonathan Ian McLachlan

Embodiments of the present disclosure provide techniques for generating code defining visual content in a design environment. An example method includes receiving an input prompt describing a behavior to be implemented by a visual asset included on a canvas in a design environment. An intermediate representation of the visual asset is generated. A code artifact is generated using a generative artificial intelligence mode based on the intermediate representation of the visual asset and the input prompt.

Embodiments of the present disclosure provide techniques for rendering visual content in a design environment. An example method includes detecting that a change has been made to a code-defined visual asset loaded on a canvas in a design environment. The code-defined visual asset is copied to a hidden rendering environment in the design environment. The code-defined visual asset is rendered in the hidden rendering environment based on executing code associated with the code-defined visual asset in the hidden rendering environment. An image of the rendered code-defined visual asset is captured, and the captured image of the code-defined visual asset is displayed in the design environment.

The technical solutions described herein are directed to improving profile provisioning. A system receives a request to access a target application, the request comprising at least one unique identifier corresponding to a profile. The system determines, responsive to receipt of the request, an absence of an account from a directory based on the at least one unique identifier. The system provides, for display on a first graphical user interface responsive to the absence of the account from the directory, one or more requests for one or more personal identifiers. The system verifies, responsive to receipt of the one or more personal identifiers via the first graphical user interface, that the one or more personal identifiers correspond to the profile. The system generates, responsive to verification of the one or more personal identifiers, the account. The system causes, responsive to generation of the account, the target application to execute.

Computer-implemented design tool functions are described herein for automatically performing edits across different portions of one or more design layouts. A method for the tool includes aligning elements outside of frames together with multiple elements selected within frames. Another method includes modifying visual characteristics of multiple elements based on a determined primary element of the multiple elements. Another method includes modifying matching properties of multiple elements based on a determined primary element of the multiple elements. Another method includes copying and pasting multiple elements from a first set of frames into a second set of frames. Another method includes modifying constraints of multiple elements based on a determined primary element of the multiple elements.

Computer-implemented design tool functions are described herein for automatically performing edits across different portions of one or more design layouts. A method for the tool includes aligning elements outside of frames together with multiple elements selected within frames. Another method includes modifying visual characteristics of multiple elements based on a determined primary element of the multiple elements. Another method includes modifying matching properties of multiple elements based on a determined primary element of the multiple elements. Another method includes copying and pasting multiple elements from a first set of frames into a second set of frames. Another method includes modifying constraints of multiple elements based on a determined primary element of the multiple elements.

A system and a method include a positioner, such as one or more arms. An end effector is coupled to the positioner. A tool is coupled to the end effector. The tool includes an operative portion coupled to one or more motors. A control unit is configured to automatically control the positioner and the tool. The control unit is configured to automatically move the positioner to automatically secure the tool to a jig, and automatically operate the tool to move the operative portion into a hole of the jig and perform a tooling operation in relation to a surface of a component on which the jig is positioned.

Embodiments of the present disclosure provide techniques for refining visual assets using generative artificial intelligence models. An example method generally includes receiving an indication of a visual asset for modification and an input natural language prompt specifying a design objective to be applied to the indicated visual asset. Visual components in the indicated visual asset and properties of the identified visual components to be modified are identified based on the specified design objective. One or more control panels are populated with one or more controls for modifying the identified visual components to achieve the specified design objective. An input is received in at least one of the one or more control panels, and the indicated visual asset is modified based on the received input.

One example provides a measurement system (1200) for a part (106, 902, 1304). The measurement system (1200) comprises a part support (1202) arranged along a scan path (1302), a measurement head (1208), a plurality of depth sensors (102A, 102B, 1204) arranged on the measurement head (1208), and a calibration monument (1214, 1500) arranged along the scan path (1302). The calibration monument (1214, 1500) including a plurality of features (1502) representative of part geometry on the part (106, 902, 1304). The measurement system(1200) further comprises a controller(1224) configured to obtain, from the plurality of depth sensors, depth data of the calibration monument and the part along the scan path (1602), determine a calibration measurement for the plurality of features of the calibration monument from the depth data (1620), and when calibration measurement meets a predetermined calibration condition, determine a part measurement for the part from the depth data (1624).

Embodiments of the present disclosure provide techniques for generating candidate visual assets using generative artificial intelligence models and a selection of a visual asset based on which the candidate visual assets are generated. An example method generally includes receiving an indication of a visual asset for modification and an input natural language prompt specifying a design objective to be applied to the indicated visual asset. The design objective is translated to a plurality of transforms to be applied to the indicated visual asset. A candidate set of visual assets is generated based on applying the plurality of transforms to the indicated visual asset, and the candidate set of visual assets are output for selection in a user interface.

A single-transducer fluid meter is adapted to measurement the flow of a fluid (e.g., water or natural gas). A transducer sends an ultrasonic signal within a flow pipe through which the fluid flows within the fluid meter. In the example, the ultrasonic signal is reflected twice, thereby traveling in a triangular path that starts and ends at the transducer. A time-of-flight of an ultrasonic acoustic signal is measured. The time-of-flight starts when an electrical signal excites the transducer, and ends when the acoustic signal returns to the transducer. The time-of-flight of the ultrasonic signal can be used (with the speed-of-sound of the fluid) to calculate a flowrate of the fluid. In a first example, a faster flowrate of the fluid can result in a shorter time-of-flight (e.g., if the ultrasonic signal moves with the fluid flow). A slower flowrate of the fluid can result in a longer time-of-flight.