A method and system for providing on-demand updating of metadata information associated with clinical image data files is disclosed. The system allows for extracting, on the fly, additional metadata fields from clinical image data files and re-indexing the metadata to include the additional fields so that an end-user can perform operations (e.g., searching, browsing, etc.) based on the newly indexed fields. The metadata fields may be defined in a configurable schema file (e.g., XML, YML, etc.). The system can gain efficiencies by, for example, reading only a subset of the DICOM file (e.g., reading only the first few kilobytes that contain the header), scanning only a subset of source data folders, etc.

A model analyzer may receive a representative data set as input and select one of a plurality of analytic models to perform the analysis. Before deciding which model to use the model may be trained, and the trained model evaluated for accuracy. However, some models are known to behave poorly when the training data is distributed in a particular way. Thus, the cost of training a model and evaluating the trained model can be avoided by first analyzing the distribution of the representative data. Identifying the representative data distribution allows ruling out use of models for which the distribution of the representative data is unsuitable. Only models that may be compatible with the distribution of the representative data may be trained and evaluated for accuracy. The most accurate trained model whose accuracy meets an accuracy threshold may be selected to analyze subsequently received data related to the representative data.

A contextual query system is configured to perform operations that include: causing display of a graphical user interface at a client device, the graphical user interface including a display of image data that comprises a set of image features; generating a query based on the set of image features of the image data; accessing media content based on the query at a repository, the repository comprising a collection of media content; and causing display of a presentation of the media content within the graphical user interface at the client device.

Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid.

In an example method, a series of time-based clustering images is generated for a plurality of library fragments from a genome sample. Each time-based clustering image in the series is sequentially generated. To generate each time-based clustering image in the series: i) a respective sample is introduced to a flow cell, the respective sample including contiguity preserved library fragments of the plurality of library fragments, wherein the contiguity preserved library fragments are attached to a solid support or are attached to each other; ii) the contiguity preserved library fragments are released from the solid support or from each other; iii) the contiguity preserved library fragments are amplified to generate a plurality of respective template strands; iv) the respective template strands are stained; and v) the respective template strands are imaged.

In an example method, a series of time-based clustering images is generated for a plurality of library fragments from a genome sample. Each time-based clustering image in the series is sequentially generated. To generate each time-based clustering image in the series: i) a respective sample is introduced to a flow cell, the respective sample including contiguity preserved library fragments of the plurality of library fragments, wherein the contiguity preserved library fragments are attached to a solid support or are attached to each other; ii) the contiguity preserved library fragments are released from the solid support or from each other; iii) the contiguity preserved library fragments are amplified to generate a plurality of respective template strands; iv) the respective template strands are stained; and v) the respective template strands are imaged.

A system for analyzing screenshots can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.

An illustrator system accesses a multi-element document, the multi-element document including a plurality of elements. The illustrator system determines, for each of the plurality of elements, an element-specific topic distribution comprising a ranked list of topics. The illustrator system creates a first aggregated topic distribution from the determined element-specific topic distributions. The illustrator system determines a global intent for the multi-element document, the global intent including one or more terms from the first aggregated topic distribution. The illustrator system queries a database using the global intent to retrieve a substitute element. The illustrator system generates a replacement multi-element document that includes a substitute element in place of an element in the multi-element document The at least one substitute element is different from the element in the displayed multi-element document.

A method allows an estimator or other party to “Walk the Drawings.” An estimator can open one or more sets of drawings on a mobile device and walk those same electronic drawings as they actually walk or traverse the physical site itself. In other words, as the estimator physically moves across the construction site in the real world, their electronic icon (avatar) moves across the corresponding electronic drawings on their mobile device. Now the estimator can identify present and future such as features that need to be accessible being buried under asphalt. While walking the drawings, the estimator can label any challenges or features by simply clicking their avatar and it will post that geo-stamped location complete with corresponding notes and photos straight to the drawings for later review and analysis.