Embodiments are disclosed for a data analysis tool for facilitating iterative and exploratory analysis of large sets of data. In some embodiments a data analysis tool includes a graphical user interface through which an interactive set of field identifiers is displayed. Each of the listed field identifiers may reference fields associated with a set of events returned in response to a search query, the set of events including machine data produced by components within an information technology (IT) environment that reflects activity in the IT environment. In response to user selections of field identifiers included in the displayed set, a data analysis tool may cause display of manipulable visualizations based on values included in fields referenced by the selected field identifiers.

Systems and methods are provided for generating visualization data associated with raw data using a machine learning model. For example, the machine learning model may automatically generate a set of candidate analytics and/or a scenario for visualizing the raw data based on summary data. Given the summary data and answers to prompts for visualizing data, the generated candidate analytics may reflect a context of the raw data as intended by the user. A visualization code scaffold according to a visualization specification may be used to generate programmatic output that corresponds to the candidate analytics, which may thus be used to generate a visualization accordingly. In some examples, an infographic may further be generated based on the visualization and a prompt using a diffusion model.

In some aspects, a device may receive a plurality of temperature measurements from a plurality of sensors of the device. The plurality of temperature measurements may indicate a temperature of one or more components of the device during a time window. The device may determine, based at least in part on the plurality of temperature measurements, an acceleration and a rate at which the temperature of the device changes during the time window. The device may perform one or more actions based at least in part on the acceleration and the rate at which the temperature of the device changes during the time window. Numerous other aspects are described.

Text is generated from an object. Text is generated from a first object. The first object includes a second object and a third object. A step of detecting coordinate data of the second object is included. A step of detecting coordinate data of the third object is included. A step of extracting positional relation between the second object and the third object from coordinate data is included. A step of converting the extracted positional relation into graph data is included. A step of generating text about the positional relation between the second object and the third object from graph data is included.

Methods, systems, and non-transitory computer readable storage media are disclosed for vectorizing raster images using path simplification via corner detection and a directed graph. The disclosed system determines a plurality of line segments from one or more paths along boundaries of segmented regions of a raster image. The disclosed system determines cornerness scores corresponding to portions of the one or more paths at a set of vertices by comparing the portions at the set of vertices to different shapes including at least a corner shape. The disclosed system also fits a plurality of candidate vector paths to input paths corresponding to pairs of the set of vertices. Additionally, the disclosed system generates a vector image comprising a set of vector paths fitted to the boundaries of the segmented regions that minimize costs according to the cornerness scores.

Disclosed are a method for presenting cardiac myocardial strain and an ultrasound imaging apparatus, comprising: acquiring image data of myocardial segments of both left and right ventricles, and processing this data to obtain motion parameters of both left and right ventricular myocardial segments. A composite bull's-eye plot containing left and right ventricular bull's-eye subplots is displayed, wherein the left ventricular bull's-eye subplot comprises multiple left ventricular myocardial regions corresponding to the left ventricular myocardial segments and presenting motion parameters of the left ventricular myocardial segment; and the right ventricular bull's-eye subplot comprises a right ventricular myocardial region corresponding to the right ventricular myocardial segments that exclude some/all shared segments with the left ventricle and presenting motion parameters of the right ventricular myocardial segment. This configuration enables users to observe motion parameters of both ventricular myocardial segments, thereby providing comprehensive understanding of cardiac myocardial strain while enhancing clinical efficiency for doctors.

A method including receiving a three-dimensional scan of a coating that coats an object. The coating and the object, in combination, have a shape. The method also includes flattening the three-dimensional scan to generate flattened data. Flattening includes conforming scan data in the three-dimensional scan to zone data for zones of a layout. The zones represents sections of the shape cut along boundaries in the shape. Each of the zones represents a corresponding thickness of the coating in a corresponding section of the sections. The method also includes vectorizing the flattened data into a vector data structure. The method also includes generating a prediction whether one or more zones of the zones are out of an engineering tolerance for the coating. Generating the prediction is performed by a machine learning model that takes, as input, the vector data structure and produces, as output, the prediction.

Provided is an information processing apparatus including an acquisition unit that acquires sensor data including a plurality of sensor values measured by a substrate processing apparatus and attribute information that affects a temporal change in the substrate processing apparatus, a classification unit that classifies the sensor data based on the attribute information, and a display unit that displays a plot corresponding to the sensor data in a different mode for each classification, on a correlation graph between the plurality of sensor values.

An information processing apparatus includes: an acquisition unit that acquires sensor data including a first sensor value and a second sensor value measured in a substrate processing apparatus when the substrate processing apparatus is not executing a process; and a display unit that displays information representing a correlation between the first sensor value and the second sensor value.

A circuit analysis application receives an imaged representation of a circuit, such as a schematic, circuit board image, scan result, or other similar electronic pixelated representation capable of raster (video screen renderable) visualization. The application iterates through a sequence of extraction and classification operations, including an object or component extraction for identifying discrete components of the circuit, traces denoting connections between the components, and component identification for determining a type, and hence the electrical properties, of each component and the connections to other components. The result is a graph of circuit components and connections to other components, normalized in a form suitable for comparison to other circuit representations and stored in a database for subsequent comparison and identification with other unknown circuit forms.