Abstract: Described herein is a computer implemented method. The method includes including accessing data describing a set of original elements, wherein each original element has an original bounding box, processing the set of original elements to identify a set of pre-existing element overlaps, accessing data describing a set of updated elements; and identifying a first undesirable collision. Identifying the first undesirable collision includes determining that a first current element overlap exists and determining that the first current element overlap is an introduced overlap. Determining that the first current element overlap is an introduced overlap includes determining that there is no pre-existing overlap in respect of a first original element that corresponds to the first updated element overlapping a second original element that corresponds to the second updated element.

Abstract: There is provided a method for training a ML model ensemble, comprising: training a central ML model using training values of central location parameters of a central location, for sample resources: training a respective ML model using the remote location parameters for the respective sample resource, receiving a manual indication of allocation of the respective sample resource to the central location or the remote location, creating a main training dataset including the training values for the central locations, and the training values for the remote location parameters for each of the sample resources labelled with the manual indication, and training a main ML model using the training dataset for allocating a resource to central location(s) or to the respective remote location, wherein a subset of resources are allocated to respective remote locations and another subset of the resources are allocated to central location(s).

Abstract: Methods and systems for using machine learning models to organize and select modular components for user interface templates. For example, the methods and systems may use machine learning and/or artificial intelligence to generate user interfaces with a preferred number of user input fields and/or pages, in which the preferred number both satisfies any requirements for the user interface (e.g., information, categories of information, etc.), and ensures that all privacy concerns are met.

Abstract: A system used to implement the method of exchanging information through a wireless brain-computer interface includes a specified brain and a quantum supercomputer. The quantum supercomputer is initially used to detect a plurality of compositional particles within the specified brain. A quantum entanglement is then induced in between each compositional particle and the quantum supercomputer. The quantum supercomputer is subsequently used to generate an eigenmatrix of the specified brain with the quantum supercomputer, wherein the eigenmatrix is a representation of each compositional particle. The method concludes by enabling two-way communication between the specified brain and the quantum supercomputer by modifying the eigenmatrix.

Abstract: Systems and methods described herein provide an online constraint optimizing service that evaluates user requests and inquiries for telecommunications services in the context of a real-time constraint-based analysis. According to an implementation, a network device receives a function for an analytic event and a constraint. The function applies different user attributes for a telecommunications network. The network device generates a training data set using offline constrained optimization of the function. The network device develops a predictive model for utilization of network resources in the telecommunications network using the training data set. The network device receives a user request that corresponds to the analytic event addressed by the predictive model and conducts an online prescriptive analysis using the predictive model. The network device optimizes allocation of the network resources to the user based on the prescriptive analysis.

Abstract: Methods, systems, and computer programs are presented for abstractive summarization of text by viewing sequence transduction as a language modeling problem. One method comprises an operation for training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for the text being summarized. The method further comprises operations for detecting the text to be summarized, initializing the running summary, and performing a plurality of iterations. Each iteration comprises providing, to the machine-learning model, the source text and the running summary, and adding, using the machine-learning model, a new word to the running summary. Further, the method comprises an operation for storing, on a memory, the running summary as the summary of the text.

Abstract: Embodiments of systems and methods for the conversion of documents to reusable content types are disclosed herein. Embodiments may extract the content and metadata of the original document and identify a set of reusable resources from the content and metadata. These reusable resources can each be one of a set of content types common across a plurality of document authoring platforms. Each of the content types may be represented using a content type object associated with that content type. The reusable resources identified by the parsing of the content and metadata of the original document may thus be represented with corresponding reusable objects in a content type format common to a plurality of document authoring tools.

Abstract: Methods, systems, and computer programs are presented for providing an interactive canvas tool to generate multimodal, personalized content. One method includes providing a user interface (UI) for a canvas tool to generate multimodal content. The canvas tool comprises a prompt panel, a variations panel, and a canvas configured to present items of several types, such as a text type and an image type. The method further includes receiving text input including a textual description with instruction for generating an item, where the canvas tool is configured to generate items from the several types. The method further includes providing the text input to a generative artificial intelligence (GAI) tool, and presenting one or more variations based on an output of the GAI tool. The method further includes detecting a selection of one of the variations in the variations panel, and adding the selected variation to the canvas in the UI.

Abstract: The system receives a message having a sender and a recipient. The system identifies entities associated with the message and associated with any content that is associated with the message. The system determines whether to, and how to, modify the message based on relationship information among the sender, the recipient, and any entities identified in the message or components of the message. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The personalized message include the original message along with context information to help indicate the relevance of the message to the recipient. The context information can include text, images, video, or other information. To illustrate, the context information can include keywords or identifiers that indicate entities associated with the message.

Abstract: The present application discloses systems and methods to present information to recreational vehicle riders and to provide customizable visual information to recreational vehicle riders. The present application further discloses systems and methods to connect and transmit audio information between a driver portable communication device and a driver audio interface device through the recreational vehicle and audio information between a passenger portable communication device and a passenger audio interface device.

Abstract: The present disclosure generally relates to content-based tactile outputs. In some embodiments, user interfaces associated with content-based tactile outputs are described. In some embodiments, user interfaces associated with end-of-content tactile outputs are described. In some embodiments, user interfaces associated with moving a user interface in response to different types of input are described. In some embodiments, user interfaces associated with adjustable item-based tactile outputs are described. In some embodiments, user interfaces associated with input velocity-based tactile outputs are described.

Abstract: Provided is a report writing support system including: a document model determination unit that determines a document model storing a template of a draft to be presented to a user, on the basis of an answer to a selective question and a question determination model that determines a further question to the answer; a template application unit that asks a descriptive question for asking a question about a content lacking in the template of the draft stored in the document model on the basis of the determined document model and the answer or a further answer, and applies an answer to the descriptive question to the template of the draft; and a presentation processing unit that presents the template of the draft, to which the answer to the descriptive question is applied, as a draft to be presented to the user.

Abstract: Methods and systems are presented herein for assessing risk associated with a vendor providing services and/or other products to a financial institution, for preparation of associated risk assessment reports or vendor oversight reports, and for maintenance of a plurality of risk assessment reports or oversight reports associated with a plurality of vendors.

Abstract: Systems, methods and products for accessing a set of electronic document templates, identifying instances of common document content such as content items which are semantically similar, and generating component templates containing the common content. Semantically similar content may be identified by analyzing content for factors such as expressed sentiment, included keyphrases, recognizable entities, expressed topics, assigning values to content based on these factors, and determining similarity based on comparisons of the assigned values. Component templates may also be generated based on types of content that include identical text or images, content that has a predefined level of similarity rather than being identical, content that has common rules, scripting logic or variables, metadata, etc. The component templates may be generated automatically, or in response to user instructions.

Abstract: A computing system and a method remotely generate documents wherein a user establishes communication with the computing system from a user device and is instructed to enter the information in a document template displayed on the user device. The user device is enabled to select a document type and a document format. The document types include a conventional check and a cashier's check. The document formats include a printed hard copy and an electronic document.

Abstract: In some embodiments, a method for optimal parallel execution of a simulation of a design is provided. A computing device extracts one or more features from the design. The computing device provides at least the one or more features as inputs to one or more machine learning models to determine one or more predictions of execution times. The computing device determines an optimum execution architecture based on the one or more predictions of execution times. The computing device distributes portions of the design for simulation based on the optimum execution architecture. In some embodiments, one or more machine learning models are trained to generate outputs for predicting an optimal parallel execution architecture for simulation of a design.

Abstract: Systems and methods for building a comprehensive genome scale metabolic model. The method includes determining that at least one of a hypothetical profile annotation and an uncharacterized profile annotation is available in a profile annotation associated with a protein. Further, the method includes performing a machine learning procedure on at least one of the hypothetical profile annotation and the uncharacterized hypothetical profile annotation after a fuzzy string matching and ranking procedure. Further, the method includes obtaining all the possible protein annotations based on a fuzzy string matching procedure. Further, the method includes performing a rank procedure on at least one of the hypothetical profile annotation and the uncharacterized profile alternative annotation. Further, the method includes identifying all possible metabolic reactions for the protein annotation obtained by the fuzzy string matching procedure.

Abstract: A system and method for electronic document management including: creating an executable document object, wherein the executable document object comprises at least one programmable element; constructing an interaction schema object, wherein each interaction schema comprises: executable logic and a trigger as part of an inbound interaction schema or an outbound interaction schema that associates an external resource with the executable document object; and bundling the interaction schema object with the executable document object.

Abstract: A processor receives a request to communicate a source data using a preferred communication channel and obtains a first set of communication templates that correspond to a type of the source data and the preferred communication channel. The processor obtains a performance indicator associated with each communication template from the first set of communication template and selects from the first set of communication templates, a communication template associated with the highest value of the performance indicator. The processor transforms the source data using the selected communication template by formatting the source data based at least on one or more multimedia components associated with the selected communication template and transmits the transformed source data using the preferred communication channel.

Abstract: Methods and systems are provided for facilitating generation of fillable document templates. In embodiments, a document having a plurality of tokens is obtained. Using a machine learned model, a token state is identified for each token of the plurality of tokens. Each token state indicates whether a corresponding token is a static token that is to be included in a fillable document template or a dynamic token that is to be excluded in the fillable document template. Thereafter, a fillable document template corresponding with the document is generated, wherein for each dynamic token of the document, the fillable document template includes a fillable field corresponding to the respective dynamic token.