Abstract: A method for modifying a procedure includes: accessing an instructional block library containing a set of verified instructional blocks associated with approved digital procedures performed within a facility; accessing an unverified instructional block, authored by an operator, for a new digital procedure at the facility; detecting a set of language signals in the unverified instructional block; correlating an equipment unit language signal, in the set of language signals, with an equipment unit located within the facility; correlating an action language signal, in the set of language signals, with an action prompt related to the equipment unit; identifying a verified instructional block, in the set of verified instructional blocks in the instructional block library, as analogous to the unverified instructional block in response to the verified instructional block including language signals associated with the equipment unit and the action prompt; and inserting the verified instructional block in the new digi

Abstract: A location matching method is provided. The method comprises receiving one or more photos of one or more vacant properties and surroundings of the one or more vacant properties, processing the one or more photos of the one or more vacant properties and surroundings of the one or more vacant properties to extract features related to the surroundings of the one or more vacant properties, generating one or more tags descriptive of the one or more photos based on the features that are extracted, receiving a preference from a user, and generating for output to the user one or more recommended properties based on a comparison of the one or more tags and the preference.

Abstract: Approaches for training and invoking natural language processing (NLP) models are described. In one aspect, a method includes obtaining a natural language document and accessing a database that includes NLP models. A first set of NLP models are configured to recognize a first provision. A second set of NLP models are configured to recognize a second provision. The method includes obtaining a user input indicative of a set of provisions. For at least one given provision in the set of provisions, the method include identifying corresponding NLP models in the database, applying a first NLP model to create a first annotated natural language document; inputting the first annotated natural language document to a second NLP model; and outputting the natural language document annotated with the set of provisions.

Abstract: Techniques for runtime customization and management of user interfaces for enterprise applications are disclosed. In some embodiments, the techniques include tools, systems, and processes for building frontend, technology-independent user interfaces. A system may consume user input files that are language dependent and generate a metadata file that is language independent. The metadata file may be updated to customize or otherwise modify a user interface of an application at runtime. An event signal may be raised to notify the application when a new user interface is available. In response to detecting the signal, the application may refresh the user interface, including the application page being currently viewed, to modify the set of user interface components that are rendered and displayed to the end user. The system may store metadata for multiple versions of the user interface to allow users to quickly roll back to prior versions of a user interface.

Abstract: Techniques are provided for determining and updating locations in databases for providing to transport user devices to facilitate picking up (retrieving) an item and delivery. Location points (e.g., for retrieval or delivery) can be measured by transporter devices when an item is retrieved, and a central value can be determined from the measured location points. The central value can be used to update a pin location in a database for a destination, e.g., when more paths by the transport user devices cross a boundary (geofence) around then central value than a boundary around an existing pin location.

Abstract: Disclosed herein are system, method, and computer program product embodiments for polygon sequence matching for label association in autonomous vehicle logs. A logged polygon is identified in each logged frame of a logged track. For each logged frame in the logged track, a labeled frame is retrieved from a labeled track that has a timestamp within a predetermined time window of the timestamp of the logged polygon. A similarity score is generated by comparing the logged polygon and the labeled polygon in the labeled frame. The logged frame and the labeled frame are identified as a match-frame when the similarity score meets a first threshold. A candidate pair is generated for each match-frame comprising the logged track and the labeled track that includes the labeled frame identified in the match-frame. The candidate pair with a match quality score meeting a second threshold is displayed.

Abstract: In some embodiments, an electronic device selects and provides for interaction with handwritten content in a content entry region. In some embodiments, an electronic device generates normalized shapes based on handwritten inputs. In some embodiments, an electronic device identifies actionable text within handwritten content and updates the identified text to be actionable. In some embodiments, an electronic device presents tutorials for text manipulation operations. In some embodiments, an electronic device displays visual feedback of text manipulation operations. In some embodiments, an electronic device selects units of content.

Abstract: A request to display a user interface that includes a menu along a first edge of a user interface that corresponds to a first edge of a display region is received. The menu includes multiple menu objects, including a first and a second menu object. In response to receiving the request, and if the display generation component is not capable of displaying content in a respective portion of the first edge of the display region, the first menu object is displayed on a first side and the second menu object is displayed on a second side of the respective portion, such that the respective portion is between the first menu object and the second menu object met. And, if the display generation component is capable of displaying content in the respective portion, the first and second menu objects are displayed adjacent to one another in the display region.

Abstract: Systems, methods and computer program products are provided for analyzing at least one of ultrasound (US) images or optoacoustic (OA) images (US/OA images), comprising: a display configured to display at least a first image from at least one of OA images or US images acquired in connection with an examination for a region of interest (ROI), the first image including a lesion, the first image overlaid with an interior ROI outline separating an internal zone from a boundary zone of the ROI, the first image overlaid with an exterior ROI outline separating the boundary zone from a peripheral zone; a graphical user interface (GUI); memory configured to store program instructions; and one or more processors configured to execute the programmable instructions to: obtain feature scores in connection with at least the boundary zone and peripheral zone of the first image; apply the feature scores to a classification model to obtain predictive result indicative of a trait of the lesion, the predictive result indicating

Abstract: Methods and systems for secure applications running web view applications are disclosed. In some aspects, user data may be secured within a first security domain, that is inaccessible to a web view application running within a second application. The second application accesses the user data via a second security domain, when a request is received from the web view application to display a user interface. The second application then displays a user interface based at least in part, on the user data.

Abstract: Inputs may be received for constructing a data processing pipeline configured to implement an process to generate a machine learning model for performing a task associated with an input dataset. The process may include a plurality of machine learning trials, each of which applying, to a training dataset and/or a validation dataset generated based on the input dataset, a different type of machine learning model and/or a different set of trial parameters. The machine learning model being generated based on a result of the plurality of machine learning trials. A runtime estimate for the process to generate the machine learning model may be determined. The runtime estimate may enable the allocation of a sufficient time budget for the process. Moreover, the process may be executed if the runtime of the process does not exceed the available time budget.

Abstract: Systems and methods for unsupervised feature selection for online machine learning are provided. Features can be selected from a plurality of online data sources having a plurality of respective online data streams, and an aggregated feature set and aggregated data can be formed therefrom. The aggregated feature set and the aggregated data can be used by machine learning models in real time to provide real time online machine learning.

Abstract: An information processing device includes a processor. The processor is configured to control a vehicle including a storage apparatus including one or more compartments configured such that a user deposits baggage. The processor is configured to, when a predetermined event related to storage of the baggage has occurred in the storage apparatus, restrict deposit of the baggage into the storage apparatus by the user until the vehicle including the storage apparatus moves to a predetermined place where the predetermined event is resolvable.

Abstract: Embodiments of the present disclosure disclose a three-dimensional path display method, device, computer-readable storage medium, electronic apparatus and computer program product. Therein the method comprises: determining, from a target three-dimensional space, a first sampling-point set comprising points; based on the first sampling-point set, generating a curve indicating the three-dimensional path to be generated; based on the curve, generating the three-dimensional path comprising a path region set, wherein the three-dimensional path passes through the points of the first sampling-point set; determining a mapping relationship between vertices of respective path regions in the path region set and pixels in a preset two-dimensional picture; according to the mapping relationship, inserting corresponding pixels into path regions in the path region set; and displaying the three-dimensional path after the pixels are inserted.

Abstract: Method of causing a selectable item including customized graphic for electronic messaging application starts with a processor generating customized graphics based on user identifiers for a first, a second, and a third client device. Processor causes a communication list interface that includes a group selectable item to be displayed on the first client device. The group selectable item includes the second customized graphic and the third customized graphic. Processor receives a request for a group communication session from the first client device. The request for the group communication session is generated by the first client device when the user of the first client device selects a first portion of the group selectable item displayed on the first client device. Processor causes a communication interface for the group communication session between a group of client devices to be displayed at the first client device. Other embodiments are disclosed.

Abstract: The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.

Abstract: User interfaces are provided for improved data optimization. A model user interface can be used to generate models based on a historical data file based on modeling details and filters specified by a user. The user can save the models and apply the models to optimize a data file. The user can specify optimization details and see visualizations of the results.

Abstract: A system and method for performing optoacoustic classification prediction is provided. The method utilizes one or more processors in connection with receiving OA feature scores in connection with OA images collected from a patient examination for a volume of interest. The volume of interest includes a lesion. The method applies the OA feature scores to a classification model to obtain a predictive result indicative of a trait of the lesion.

Abstract: Embodiments include a method for navigating an electronic document. The method includes displaying a navigation pane that includes a group of logical document elements associated with the electronic document. The method also includes detecting a first user input. The method further includes determining that the first user input is configured to select a first logical document element included in the group of logical document elements. The method also includes selecting the first logical document element based on the first user input. The method further includes navigating to a portion of the document associated with the first logical document element. Embodiments also include a system and a computer-readable medium for navigating an electronic document.

Abstract: The disclosed embodiments include computer-implemented processes that flexibly and dynamically analyze a machine learning process, and that generate analytical output characterizing an operation of the machine learning process across multiple analytical periods. For example, an apparatus may receive an identifier of a dataset associated with the machine learning process and feature data that specifies an input feature of the machine learning process. The apparatus may access at least a portion of the dataset based on the received identifier, and obtain, from the accessed portion of the dataset, a feature vector associated with the machine learning process.