Abstract: A method for selecting and serving a content item includes serving a script to a client device in response to a request, where the script is configured to determine a size of a viewport, determine a width of a parent element of a resource, and determine a content item size based, at least in part, on the size of the viewport and the width of the parent element. The method also includes receiving information indicative of the determined content item size, determining a set of content items based, at least in part, on the received information indicative of the determined content item size, selecting a content item from the determined set of content items, and serving data to effect display of the selected content item in the parent element with the resource.

Abstract: This disclosure improves computer functionality by enabling various web forms, whether dynamic or static. For example, some of such web forms may enable a responsive user experience. For example, some of such web form may enable an efficient computing architecture. For example, some of such web forms may enable a freeform text to be analyzed in substance.

Abstract: A document management system generates and validates online documents. The document management system enables the customization of an online document through various rendering parameters for customizing the appearance of agreement content rendered to a receiving entity. The document management system may validate the rendering parameters of customized online documents to determine a likelihood that the documents are valid. For example, the system may determine a likelihood that an online document generated with prechecked checkbox is invalid. The document management system may recommend custom templates for online documents or modifications to an online document that may increase a likelihood of achieving an originating entity's objective. For example, the document management system can apply a machine-learned model to recommend a target rendering parameter for inclusion that would increase the likelihood of a receiving entity clicking an “Agree” button.

Abstract: The embodiments of the display disclosure relate to a table displaying method, device, and medium, wherein the method includes: determining a displaying mode of a table on a current interface; and in response to a browse triggering operation on the table, displaying table information matched with a displaying size of the current interface according to the displaying mode.

Abstract: Systems and methods for providing a machine learning-powered framework to transform overloaded text documents is provided. The system generates a plurality of candidate templates offline. During runtime, the system accesses a text document and analyzes the text document to identify segmentation data. The segmentation data can indicate a plurality of segments derived from the text document. The system then accesses a plurality of candidate templates, whereby each candidate template comprises a plurality of pages having a different background element that shares a common theme. The plurality of candidate templates are ranked based on at least the segmentation data. The network then generates multiple presentation pages for each of a predetermined number of top ranked candidate templates by incorporating each of the plurality of segments into a corresponding page of the plurality of pages for each of the top ranked candidate templates.

Abstract: A sentence generation method is provided for an electronic device. The method includes obtaining an input sequence, encoding the input sequence to obtain a sentence eigenvector, decoding the sentence eigenvector to obtain a first predetermined quantity of candidate sentence sequences, clustering the first predetermined quantity of candidate sentence sequences to obtain sentence sequence sets of at least two types, screening out a second predetermined quantity of candidate sentence sequences from the sentence sequence sets of at least two types, the second predetermined quantity of candidate sentence sequences including at least two sentence feature types, and determining an output sequence corresponding to the input sequence according to the second predetermined quantity of candidate sentence sequences.

Abstract: Smart glasses may be used for intelligent UI webpage optimization leveraging UI and viewer extraction telemetry. The smart glasses may include an eyeball tracking device. Methods may include tracking the movement of the eye of a user on the UI webpage. Methods may further include capturing a segment of data within the movement of the eye of a user on a UI webpage and storing the segment of data in memory on the smart glasses. Methods may also include updating the UI webpage based on an instruction in the data segment transmitted to the UI. Additionally, methods may include autofilling the data segment at the point of user eye movement on the UI webpage. Eyeball movement data may transfer from the smart glasses to UI webpage code.

Abstract: A system and method are presented for interoperability of computer software applications. Subdocuments are located within slots of a main document along with a fully-qualified file identifier. Subdocuments can be saved in the main document in an intermediate format. Editing a slot triggers the opening of the original document in its native application. An intermediate format file is then created and reimported into its original slot. A document containing subdocuments can be exported in its entirety from one program to another. An auxiliary program identifies a target template format and converts the original document to the target template in its native application using the original subdocuments. Page image exports are used to transfer all content in the original application document to a destination document in a different format.

Abstract: A document creation system for creating documents corresponding to each case and falling into multiple document categories includes an input item tag creation configured to create input item tags, an input item tag list management configured to manage a list of the input item tags, and a tag-attached document creation configured to create a document using the input item tags.

Abstract: Described herein is a computer implemented method. The method includes accessing, by a computer system including a processing unit, portable document format (PDF) data defining a plurality of glyphs, sorting the plurality of glyphs into one or more glyph sets, and calculating an expanded glyph bounding box for each glyph. Each glyph set is processed to determine one or more text areas, each text area being associated with one or more glyphs from the glyph set which have collectively overlapping expanded bounding boxes.

Abstract: A non-transitory computer readable medium with an executable revision history integration program for causing at least one computer executes: a procedure for acquiring data on at least one document having at least one editing history including a name of an editor of the document; a procedure for collectively converting at least one name of an editor included in the editing history in the acquired data; and a procedure for deleting addition and deletion histories where a character string in the acquired data has been added and deleted by the same editor's name, as a result of the conversion of the name of the editor.

Abstract: The disclosed methods and apparatus provide venues such as merchandising, service, or cultural venues with the opportunity to widen the circle of patrons by annotating images captured at or nearby the venues with information about the venues. Venues may build patron loyalty by rewarding patrons who transmit or post the images, as well as those who view the annotated images. The annotations may serve as advertisements and marketing tools.

Abstract: Simplification of complex input strings is utilized for user convenience, such that the user may input a complex input string in lieu of performing an external calculation and inputting the result thereof. The simplification identifying at least one operator in the complex input string indicative of a mathematical operation, identifying a first sub-string and a second sub-string in the input string, comparing the first sub-string to an expectation identification associated with the input field to determine a significance of the first sub-string, comparing the first sub-string to a range expectation associated with said significance to determine if the first sub-string meets the range expectation, and calculating a simplified input string by performing the mathematical operation on the first sub-string and the second sub-string.

Abstract: A system and method for creating customized insurance-related forms (e.g., agreements, policies, exceptions, and other insurance-related documents) using computing devices is disclosed. A user can quickly and conveniently create customized insurance-related forms, and can transmit same to one or more remote users and/or computing systems for further processing. The system provides rich tagged searching and editing features for allowing an insurance professional to rapidly create customized forms, and to access other forms while editing a given form. The system ingests and decomposes insurance-related forms into clauses, applies search tags to the clauses, and stores the clauses and the search tags in a database for rapid searching and retrieval of desired tags for use in creating customized forms.

Abstract: Provided is a software process that can dynamically identify and display a plurality of category values of an electronic file based on a file name assigned to the electronic file. Thus, the software can automatically populate a user interface with details about content within the electronic file based on the file name. In one example, the method may include receiving an electronic computer file having a file name, identifying a subset of characters within the file name which correspond to a data category, mapping a value of the identified subset of characters to a category value in the data category, displaying an identifier of the electronic file on a user interface, and dynamically populating a predefined field within the user interface corresponding to the data category with the mapped category value.

Abstract: A unified Internet integration system for a positioning-oriented architecture (POA) comprises a controllable icon positioning information management service (CIPIMS) server; an icon positioning object information bus; at least one icon positioning resource object; at least one network application; at least one network; wherein the POA further comprises at least one unique icon positioning identification number, at least one icon positioning resource, at least one icon positioning resource space management, at least one icon positioning resource management, at least one icon positioning external resource links with Internet protocol address, and at least one icon positioning resource status management; and the method thereof.

Abstract: A method is performed at a computing device having a display, processors, and memory. A user inputs a natural language expression, directed to a selected data source, in a first region of a graphical user interface. The device parses the natural language expression and determines that the natural language expression specifies a data table from the data source either (i) directly by identifying the data table specified in the natural language expression or (ii) indirectly by identifying a data value specified in the natural language expression. The data value is a data value of a data field within the data table. In response, the device generates and displays, in the graphical user interface, a count of data rows of the data table, and a rendering of data rows and data columns of the data table.

Abstract: A first version of an electronic document is provided via a first region of a graphical user interface (GUI) for presentation to a first user of a collaborative document platform. A second region of the GUI includes an edit history GUI element that enables one or more users to access each edit made to the electronic document. A user selection of a portion of the edit history GUI element is detected. The user-selected portion of the edit history GUI element corresponds to edits made to the electronic document by a second user. A determination is made of a state of the electronic document following the edits made by the second user. The first region of the GUI is updated to include a rendering of a second version of the electronic document. The second version is rendered in view of the determined document state.

Abstract: An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

Abstract: The present disclosure relates to a system for infusing knowledge graphs and language models (LM) for natural language sentence pair tasks, the system include a processor operatively coupled to an inference engine, the inference engine configured to receive a sentence indicative of a premise and a sentence indicative of a hypothesis, extract LM embeddings for the corresponding sentence, generate a common-sense knowledge graph for corresponding sentence and nodes are derived from the common-sense knowledge graph, assign node importance scores for each of the derived nodes, compute node parameters for the derived nodes, apply an aggregation function to generate pooled values, concatenate the LM embeddings, graph embeddings and pooled values to generate concatenated data and classify the concatenation data to indicate a relationship between the natural language inference pair.

Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.

Abstract: A system, method, and computer program are provided for text sanitization. The system builds a corpus of document vectors (including tokenizing each document, creating a vector representation based on the tokens, and building a corpus of vector representations), obtains a new document for text sanitization, tokenizes the new document, creates a new document vector based on the tokens in the new document, and accesses the corpus of document vectors. The system filters each of the tokens in the new document against a privacy threshold. The system performs a k-anonymity sanitization process such that the new document vector becomes indistinguishable from at least k other document vectors in the corpus of document vectors. The system replaces or redacts the tokens in the document flagged as unsafe. The system updates the corpus of document vectors to include the new document vector in its form prior to the filtering and k-anonymity sanitization steps.

Abstract: A plurality of HyperText Markup Language (HTML) strings corresponding to a dataset of document object model (DOM) nodes is tokenized according to a tokenization scheme to produce a dictionary of tokens that occur in the dataset. A condensed dictionary of tokens in produced by removing low-value tokens from the vocabulary of tokens. An information matrix is computed based on the condensed dictionary of tokens, the information matrix being a set of values, a value of the set of values corresponding to a frequency of co-occurrence of a pair of tokens. A library of word vectors is derived from the information matrix. A feature vector of an HTML element is generated based at least in part on the library of word vectors, and a classification for the HTML element is obtained from a machine learning model as a result of inputting the feature vector into the machine learning model.

Abstract: Disclosed herein are an apparatus for detecting a moment described by a sentence query in a video and a method using the same. A method for detecting a moment described by a sentence query in a video includes dividing an input video into units of chunks and generating a chunk-level feature sequence based on features that are extracted in a form of vectors from respective chunks, dividing an input sentence query into units of words and generating a sentence-level feature sequence based on features that are extracted in a form of vectors from respective words, generating a chunk-sentence relation feature sequence including contextual information of the video by extracting a relation between the chunk-level feature sequence and the sentence-level feature sequence, and estimating a temporal interval corresponding to the sentence query in the video based on the chunk-sentence relation feature sequence.

Abstract: Text generation prompts may be determined based on an input document and a text generation prompt template. The text generation prompts may include text from the input document and questions related to the text. The text generation prompts may be sent to a remote text generation modeling system, which may respond with text generation prompt response messages including novel text portions generated by a text generation model. The text generation prompt response messages may be parsed to generate answers corresponding with the questions.

Abstract: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

Abstract: A computing device receives user selection of a data source and a lens that specifies supplemental metadata for the data source. The device receives user input to specify a natural language command directed to the data source. In response to the user input, the device determines one or more data fields and/or data values from the data source for interpreting the natural language command in accordance with the metadata from the lens. The device translates the natural language command into one or more executable database queries referencing data fields and/or data values specified in the natural language command. The device executes the one or more database queries to retrieve data from the data source. The device also generates and displays a data visualization using the retrieved data.

Abstract: Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text Selement. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.

Abstract: Translation capability for language processing determines an existence of an abbreviation, followed by non-exact matching to map the abbreviation to the original full term. A received string in a source language is provided as input to a translation service. Translation proposals in a different target language are received back. A ruleset (considering factors, e.g., camel case format, the presence of a concluding period, and/or consecutive consonants) is applied to generate abbreviation candidates from the translation proposals. Non-exact matching (referencing e.g., a comparison metric) may then be used to map the abbreviation candidates to text strings of their original full terms. A mapping of the abbreviation to the text string of the original full term is stored in a translation database comprising linguistic data. Embodiments leverage existing resources (e.g.

Abstract: In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

Abstract: To provide a sentence data management method and a sentence data management system in which sentence data and a provision of a regulation are associated and a risk of legal violation associated with outbound transmission of the sentence data is reduced. A sentence data management system includes a processor configured to convert a word string of a first document described using a first term into a word string described using a third term; convert a word string of an outbound-transmitted second document described using a second term into a word string described using the third term; compare the first document and the second document by using a comparison result between the word string and the word string as a comparison result between the word string and the word string; and check a possibility of violation to the regulation in outbound transmission to determine the outbound transmission of the second document.

Abstract: The present disclosure advantageously provides a system including a memory, a processor, and a circuitry to execute one or more mixed precision layers of an artificial neural network (ANN), each mixed precision layer including high-precision weight filters and low precision weight filters. The circuitry is configured to perform one or more calculations on an input feature map having a plurality of input channels (cin) using the high precision weight filters to create a high precision output feature map having a first number of output channels (k), perform one or more calculations on the input feature map using the low precision weight filters to create a low precision output feature map having a second number of output channels (cout?k), and concatenate the high precision output feature map and the low precision output feature map to create a unified output feature map having a plurality of output channels (cout).

Abstract: A device is provided. In some examples, the device includes a division logic circuit having input lines including a first least significant input line. The division logic circuit further includes temporary output lines including a second least significant line. The device also includes a first multiplexer having a first data input coupled to the first least significant input line. The first multiplexer further includes a second data input coupled to the second least significant line.

Abstract: Systems and methods are provided to perform multiply-accumulate operations of at least one normalized number in a systolic array. The systolic array can obtain a first input and detect that the first input is denormal. Based on determining the first input is denormal, the systolic array can generate a first normalized number by normalizing the first input. Processing elements of the systolic array can include a multiplier and an adder. The multiplier can multiply the first normalized number by a second normal or normalized number to generate a multiplier product and the adder can add an input partial sum to the multiplier product to generate an addition result.

Abstract: A workflow construction system for constructing automation workflows that automate user specific processes. The workflow construction system may include a template library including workflow templates and pre-configured attributes. The workflow template can accelerate the design and construction of custom automation workflows. An orchestration layer included in the workflow construction system will also improve the performance of systems that execute the automation workflows by dynamically scaling the processing capacity, memory, and storage of servers and other systems hosting the model file instances of the automation workflows to ensure the available resources meet the demands of users completing processes using the automation workflows.

Abstract: The present invention provides for a system (100) and a method for generating smart contracts for blockchain platforms. An input received as natural language text is processed into a first parameter to generate a Domain Specific Language (DSL) construct. DSL construct is disintegrated into a stream of tokens and a syntax analysis is performed on the stream of tokens to check if the syntax of the DSL construct matches with a grammar file defined for the DSL construct. Each of the marked lines of the stream of tokens is read and the read marked lines are transformed into an organized structure. A file specific to a target blockchain platform is generated based on a second parameter and the organized structure is mapped with the generated file associated with the target blockchain platform to generate a target code template for generating a deployable target smart contract for the target blockchain platform.

Abstract: A sample set of cloud computing resources is dynamically selected for testing a software deployment. Telemetry data associated with the resources and customer support data associated with customers that utilize the resources are obtained. A subset of the customers is selected based on the customer support data, and a candidate subset of the resources is selected based on the selected subset of customers and the telemetry data. Criteria for the selection is based on usage patterns and is configurable. Resources of customers with special support agreements, and customers previously selected, may be excluded from the candidate subset. The sample set of cloud computing resources may be randomly selected from the candidate subset. Software is deployed to the sample set as a B resource group and tested for issues with an A resource group to determine whether to proceed to full deployment, roll back the deployment, and/or retest the software.

Abstract: A computer-implemented method is for processing a medical data set at a processing system by at least one edge application. In an embodiment, the method includes receiving the medical data set from a medical system, the medical system and the processing system being parts of a local network. The method furthermore includes initializing the at least one edge application based on a cloud-based application, the cloud-based application being stored within a cloud system and the cloud system being separated from the local network. The at least one edge application is a software application executable by the processing system. The method further includes processing the medical data set by the at least one edge application, thereby generating a processed medical data set; and providing the processed medical data set.

Abstract: A system and a method of offloading and migrating management controller functionalities using containerized services are provided. Specifically, a computing device may request a container image from a container management system by sending an instruction to the container management system to select a group of management functionalities to be provided in the container image. In response to receiving the instruction, the container management system retrieves a corresponding group of the services corresponding to the selected group of management functionalities, and creates the container image using the retrieved services. Upon receiving a request from the computing device for the container image, the container management system sends the container image to the computing device, such that the container image may be executed on the computing device to provide a virtual management device thereon. The container image is also capable of being migrated from the computing device to another computing device.

Abstract: A center, configured to communicate with an OTA master that controls software updating of a plurality of electronic control units, includes a processor. The processor is configured to receive, from the OTA master, first identification information that identifies the electronic control units, and to store compatibility information that defines a version of software that is compatible with the electronic control units. The processor is configured to identify a version of software that is compatible with a target electronic control unit based on the compatibility information. The target electronic control unit is an electronic control unit that is an object of software updating among the electronic control units identified by the first identification information. The processor is configured to control, by communicating with the OTA master, such that software of the target electronic control unit is updated to the compatible version of the software that is identified.

Abstract: An update control apparatus includes: a first acquiring unit configured to acquire information based on a unique value of a moving-body control unit; a second acquiring unit configured to acquire version information of a program for performing control by the moving-body control unit from a first storage region of a storage apparatus provided in the moving-body control unit; a third acquiring unit configured to acquire, on a basis of the version information acquired by the second acquiring unit, a newer version of the program for performing the control by the moving-body control unit; a writing unit configured to write the new version of the program acquired by the third acquiring unit to a second storage region provided in the storage apparatus; and an instruction unit configured to output an instruction to cause the moving-body control unit to control in accordance with the program stored in the second storage region.

Abstract: A program update control apparatus comprises a rewriting control unit for performing control over rewriting of a program executed by a mobile object control unit for controlling at least part of a mobile object with a new program, a retrieving unit for retrieving information related to the new program and a power amount required for the rewriting from an external apparatus, and a power source information retrieving unit for retrieving a remaining capacity of a battery of the mobile object used for the rewriting, wherein the rewriting control unit starts the rewriting based on information related to a power amount required for the rewriting, the power source information retrieving unit retrieves a remaining capacity of the battery during the rewriting, and the rewriting control unit determines whether to continue the rewriting based on a remaining capacity of the battery retrieved and the power amount required for the rewriting.

Abstract: Systems and methods for updating firmware in an audio device, such as a soundbar, operatively connected to a Smart TV, are shown and described. Firmware update data is transmitted to the audio device via an audio return channel (ARC) of an HDMI cable. In certain of the systems, the firmware update data is transmitted to the audio device when no audio is being transmitted to or played by the audio device. In other systems, the firmware update data and real-time audio data are multiplexed by the Smart TV and are sent to the audio device via the audio return channel for subsequent demultiplexing and playback of the audio.

Abstract: Disclosed methods may push a capsule update including a best known configuration-compute express link (BKC-CXL) firmware update to a boot time memory area. Following a platform reboot, BKC-CXL firmware update operations are performed. The update operations include mapping a BKC-CXL runtime memory area to a non-volatile BKC store, identifying current CXL attributes from the runtime memory area, extracting the firmware update, creating one or more BKC-CXL objects from the firmware update to enable dynamic configuration of CXL parameters, comparing current CXL attributes with stored CXL attributes to identify CXL attribute changes, and saving information indicative of the CXL attribute changes back to the non-volatile BKC store.

Abstract: Systems and methods for determining that a new software program is in parity with a legacy software program. In some aspects, the system receives information for multiple threads processed by a legacy software program. The system processes the information using the new software program, which is executed in parallel with the legacy software program. If an output of a particular thread from the new software program varies outside a threshold distance from a corresponding output for the thread from the legacy software program, the system ceases further processing of the particular thread by the new software program. Otherwise, the system allows processing of the particular thread by the new software program to continue.

Abstract: A software update manager is configured to collect logs, container statistics, product configuration information, and system state from an application that is being modified when an issue is encountered during a software modification operation. The software update manager includes an issue analyzer that is configured to analyze the reported issue and search knowledge base article database(s) to determine if the reported issue is a known issue or a previously unknown issue. When the reported issue is a known issue, the software update manager retrieves a known workaround and applies the known workaround on the system to resolve the reported issue and continue the planned software modification operations. When the reported issue is a previously unknown issue, the software update manager identifies the correct engineering team responsible for responding to the reported issue and generates a bug fix request that is submitted to a software bug tracking system.

Abstract: Techniques are disclosed for updating a trusted software and another software, which may include receiving a software update package that comprises a trusted updated software component, a trusted updated software booting metadata, another updated software component, and another updated software booting metadata. The trusted updated software component may belong to an updated version of the trusted software, and the trusted software may have a certain trust level. The other updated software component may belong to an updated version of the other software, and the other software may have a trust level that is lower than the certain trust level. At least a part of the trusted updated software booting metadata may comprise retrieval information for retrieving, during a booting process, at least a portion of the other software booting metadata.

Abstract: A method of using a dongle connects the dongle to a USB port of a building equipment system. Once connected, remote communication with the building equipment system may be achieved via the dongle, and firmware may be downloaded to a processor of the building equipment from the dongle.

Abstract: A system may receive a request to perform a firmware update on an Internet of Things (IoT) device and determine whether the IoT device is capable of switching from a first mode to a second mode. The IoT device sends and receives data via first channels when the IoT device is operating in the first mode and the IoT device sends and receives data via second channels when the IoT device is operating in the second mode. The system instructs the IoT device to switch to the second mode in response to determining that the IoT device is capable of switching to the second mode and sends the firmware update to the IoT device while the IoT device is in the second mode. The system determines that the firmware update has been completed and instructs the IoT device to switch from the second mode to the first mode when the firmware update has been completed.

Abstract: A first package corresponding to a first system and a second package corresponding to a second system are downloaded from a center device, and an update data is extracted from the first package and the second package. An electronic control device as a write target installs the update data and activates the update data after an install of the update data is completed. All electronic control devices as a first write target corresponding to the first system and all electronic control devices as a second write target corresponding to the second system are instructed at a same timing to activate the update data after completing the install of the update data in all the electronic control devices.