Abstract: A method of generating an image file includes providing an electronic page through an electronic device; acquiring a plurality of images including at least a portion of the electronic page based on a user's input; and generating an image file including at least a first image and a second image of the plurality of images.

Abstract: A system and method of key generation for transforming legacy documents to extensible markup language (XML) formats is disclosed. The method includes extracting a plurality of attributes from an intermediate structure file of a legacy document. The method further includes transforming the intermediate structure file into a custom object model (COM) structure. The transforming may include classifying the intermediate structure file into one or more objects based on each of the plurality of attributes, logically grouping each of the one or more objects, and creating a hierarchical object tree from each of the one or more objects logically grouped in accordance with the COM structure. The method further includes converting the COM structure of the legacy document to an XML format in compliance with one or more industry standards using an XML serialization technique.

Abstract: Systems and methods for generating encoded text representations of spoken utterances are disclosed. Audio data is received for a spoken utterance and analyzed to identify a nonverbal characteristic, such as a sentiment, a speaking rate, or a volume. An encoded text representation of the spoken utterance is generated, comprising a text transcription and a visual representation of the nonverbal characteristic. The visual representation comprises a geometric element, such as a graph or shape, or a variation in a text attribute, such as font, font size, or color. Analysis of the audio data and/or generation of the encoded text representation can be performed using machine learning.

Abstract: An input/output of a system receives an electronic file comprising text. A processor of the system identifies keywords in the text. The processor correlates the keywords to music attributes and matches the music attributes to musical works. The processor determines computer network locations of the musical works. The processor also adds links to the network locations of the musical works to the electronic file to create a music-enhanced electronic file. The input/output outputs the music-enhanced electronic file that now contains the links to the musical works.

Abstract: A method for automatically inserting hyperlinks is provided. In one example, the method includes determining a location for a hyperlink anchor in a document based on a type of structural element identified in the document. A presentation of the hyperlink anchor may be displayed according to a set of rules defining an appearance of the hyperlink anchor according to the type of structural element.

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: Systems and methods for automatic detection of variances in digital assets such as web pages are provided. User interface screens are generated by the system for allowing a user to review a target digital asset and to select portions of the digital asset for automatic variance detection by the system. The system then monitors the selected portions of the digital asset (or, the entire digital asset) for variances, and automatically generates reports indicating detected variances.

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: Provided are a document processing method and apparatus, a device and a medium. The method includes that: an editing event of a user for a selection area content block within a selection area range of a current edited document is acquired, where the selection area content block includes at least two content sub-blocks, the selection area content block is content quoted from a source document to a target document, and the current edited document is the source document or the target document; and a synchronous content change is performed on a content block within the selection area range in the source document and a content block within the selection area range in the target document according to the editing event.

Abstract: Disclosed herein a method and apparatus for providing a comment interface to encourage writing high-quality comments. The method includes: acquiring comment history information of a comment user who wants to enter a comment, based on user information of the comment user, determining a gaze effect of gazing the comment of the comment user among preset gaze effects based on the comment history information, and providing a comment interface including the determined gaze effect to the comment user.

Abstract: There is provided an information processing device including a storage unit that stores first annotation data generated from image data of a biological specimen and conversion processing information, a conversion unit that converts, using the conversion processing information, the first annotation data into a plurality of second annotation data incidental to the first annotation data, and an output unit that outputs the first annotation data or the second annotation data.

Abstract: The present disclosure relates to utilizing a dynamic visual elements system to improve operations and interfaces of client applications by detecting when user accounts associated with tokenized or alternative account information are provided for user accounts, generating dynamic visual elements based on the tokenized account information, and intelligently integrating the dynamic visual elements into one or more user interfaces associated with fillable forms. In some implementations, the dynamic visual elements system generates and integrates selectable visual elements and/or visual overlay elements into user interfaces with respect to tokenized user account information in a manner that reduces visual clutter as well as eliminates user confusion regarding tokenized user accounts and their relationship to regular user accounts.

Abstract: A method and system for providing an electronic form are described. The method and system include identifying a visible portion of the electronic form. The electronic form can include a control component at a component location of the electronic form that is operable to receive an input from a user. The method and system can then determine an accessibility state of the control component based on the component location and at least one of a display property of the display and the visible portion. The accessibility state can be a convenient state when the component location is suitable for the display but is in an inconvenient state when the component location is not suitable for the display. When it is determined that the accessibility state is the inconvenient state, the method and system involves displaying a transient control component, or a version of the control component, on the display.

Abstract: Systems and methods for automatically generating graphic design documents are described. Embodiments include identifying an input text that includes a plurality of phrases; obtaining one or more images based on the input text; encoding an image of the one or more images in a vector space using a multimodal encoder to obtain a vector image representation; encoding a phrase from the plurality of phrases in the vector space using the multimodal encoder to obtain a vector text representation; selecting an image text combination including the image and the phrase by comparing the vector image representation and the vector text representation; selecting a design template from a plurality of candidate design templates based on the image text combination; and generating a document based on the design template, wherein the document includes the at least one image and the at least one phrase.

Abstract: Systems and methods are directed to training and utilizing a generative language model that is constrained by a predetermined template that is used to train the generative language model. Once trained, customer data is accessed and transmitted to an evaluation component associated with the generative language model. The generative language model generates one or more sentences based on a feedback input of the plurality of feedback inputs, whereby the one or more sentences each include a sentiment, a target, and a reason for the sentiment in a format defined by the predetermined template. The evaluation component then identifies the sentiment, the target, and the reason from a sentence of the one or more sentences. A communication is then presented, on a device of a user, based on at least the sentiment and the reason identified from the sentence. The communication can be an alert or a report.

Abstract: Systems and methods are provided that include a processor executing a program to receive input text, divide the input text into sentences, generate and output sentence embeddings using a sentence embeddings encoder based on the sentences, identify matches in the input text with geographical jurisdictions listed in a table comprising imposition types and their corresponding geographical jurisdictions, generate and output an imposition types list based on the matches identified in the input text, generate and output candidate embeddings, perform a cosine similarity search between the candidate embeddings and the sentence embeddings to generate and output a scored sentence list of sentences comprising cosine similarity scores corresponding to respective top scoring imposition types for each of the sentences in the input text, aggregate the cosine similarity scores in the scored sentence list to determine and output the top scoring imposition types in the input text.

Abstract: An enhanced system and method are provided for data-driven named entity type disambiguation of one or more disclosed embodiments. A system and a non-limiting computer-implemented method provides named-entity type disambiguation; receiving an unstructured document, analyzing the document using a set of Named Entity Recognition (NER) annotators, each generating annotated entities. For each respective annotated entity an Entity Disambiguation Module resolves a target entity type when a mention was assigned multiple entity types by different NER annotators by leveraging domain knowledge to form a set of first resolved entities. An Annotation Ranker associates a computed score to each entity in the set of first resolved entities using information in a knowledge base.

Abstract: Pre-trained models for Named Entity Recognition (NER) come with static NE classes, limited in number, and remain same irrespective of domain of the input text. Thus, domain specific training is required. Embodiments of the present disclosure provide a method and system for enhanced NER using a custom-built REGEX matcher and a heuristic entity ruler. The invention helps in discovering the NE's of the given text with pipeline-based approach with combination of models of NLP transformer, custom-built REGEX, and heuristic entity rules. The method automatically handles class resolution based on the heuristic entity ruler. The method enables a user to customize or add any new heuristic rules for entity ruler or custom regex as a knowledgebase to train the model with automatic relearning and unlearning. The extracted NEs are provided for further processing or masking in a structured format.

Abstract: List-based entity name detection implementations are described that detect entity names in electronic textural documents. In one implementation, unknown entity names are detected. In another implementation, ambiguous entity names are detected and disambiguated. In yet another implementation, generic entity names are detected and associated with an applicable species entity name.

Abstract: A system and method for using semantic understanding in storing and searching data and other information. A linearized tuple-based version of a conceptual graph can be created from a user input. A plurality of conceptual graphs, or portions thereof, can be compared to determine matches. An associative database can be created and/or searched using a hierarchy of conceptual graphs in tuple format, so that the data storage and searching of such database is optimized. The associative database can be used to integrate data from multiple different sources; form part of an Internet or other search engine; or used in other implementations. Also disclosed herein is a system and method for use of semantic understanding in searching and providing of content is described herein.

Abstract: A specific target-oriented social media tweet sentiment analysis method includes: preprocessing social media tweet data to obtain a target text and a specific target; passing the target text and the specific target through an embedding layer to obtain target text word vectors and obtain a specific target word vector, respectively; passing the target text word vectors through a self-attention structure to obtain a self-attention result; combining the self-attention result with the specific target word vector and passing through a cross-attention structure to obtain cross-attention results; concatenating the cross-attention results to obtain an attention representation matrix; and passing the attention representation matrix through a pooling layer, a fully connected layer and a softmax layer to obtain a sentiment tendency of the specific target.

Abstract: A computing device determines similarity between a chat conversation and one or more other chat conversations in public chat channels within computer messaging software and automatically presents the similar public chat channels to a user. A computing device accesses a real-time chat conversation, the chat conversation taking place between a plurality of participants. The computing device analyzes the real-time chat conversation to generate a word density function model modeling at least a part of the real-time chat conversation. The computing device accesses one or more persistent conversations held in a plurality of public chat channels. The computing device determines one or more persistent conversations held in similar public chat channels based upon the generated word density function model. The computing device presents the determined one or more persistent similar public chat channels to a user.

Abstract: Introduced here is a computer program that is representative of a software-implemented collaboration platform that is designed to facilitate conversations in virtual environments, document those conversations, and analyze those conversations, all in real time. The collaboration platform can include or integrate tools for turning ideas—expressed through voice—into templatized, metadata-rich data structures called “knowledge objects.” Discourse throughout a conversation can be converted into a transcription (or simply “transcript”), parsed to identify topical shifts, and then segmented based on the topical shifts. Separately documenting each topic in the form of its own “knowledge object” allows the collaboration platform to not only better catalogue what was discussed in a single ideation session, but also monitor discussion of the same topic over multiple ideation sessions.

Abstract: Systems and methods for managing conversations between a robot computing device and a user are disclosed. Exemplary implementations may: initiate a first-time user experience sequence with the user; teach the user the robot computing capabilities and/or characteristics; initiate, utilizing a dialog manager, a conversation with the user; receive, one or more command files from the user via one or more microphones; and generate conversation response files and communicating the generated conversation files to the dialog manager in response to the one or more received user global command files to initiate an initial conversation exchange.

Abstract: A computer implemented method of and system for evaluating translations using a trained neural network. The inputs to the neural network for training and evaluating translations include a source content, translated content, source and target language identifier. Additional inputs for neural network training and evaluating translations can include translation origin before adaptation identifiers, file types, translator identifiers, customer identifiers, and content domain identifiers. The neural network outputs an indication that the translation is either correct or incorrect. Corrections by a reviewer or translator can be used in feedback for further training of the evaluation neural network.

Abstract: Method and system for drafting a patent application are presented. The method and system include steps of acquiring at least one text input related to a class of documents; encoding the text input via at least one first network; generating a set of vectors via the at least one first network, where the vector corresponds to a partial representation of the text derived from the at least one first network; obtaining a text corpus for the class of documents, where the text corpus is associated with a language model compiled from the class of documents; decoding the set of vectors based on the text corpus via at least one second network; and obtaining natural language based on the decoding.

Abstract: The present disclosure provides a map information acquisition method and a map acquisition apparatus and a non-transitory computer-readable storage medium. The method comprises: acquiring and constructing, by a map acquisition apparatus, map data, and acquiring, by the map acquisition apparatus, shelf identity information of each of shelves, wherein the shelf identity information is in one-to-one correspondence with the shelves, wherein the map acquisition apparatus comprises: a shopping cart component provided with a map construction system and a radio frequency identification reader; and marking, by the map acquisition apparatus, the map data according to each of the shelf identity information, and generating, by the map acquisition apparatus, map information marked with multiple pieces of shelf identity information.

Abstract: A single piece light pipe is designed to provide dual-field, multi-color, multi-directional illumination. The light pipe is combined with a single PCB having a plurality of LEDs to create a compact illuminator that can selectively provide dark field and bright field with red, green, blue color, broad spectrum, or combination of any color in horizontal, vertical, diagonal, or combination of any direction. The single piece light pipe is compact in size and light in weight. The non-closed form option not only can further reduce the weight but also can allow arrange opening area clearance for: (1) visual aiming and alignment in application, especially for hand held application; (2) reducing illumination crosstalk to unwanted directions; and for (3) mechanical integration. The improvements allow the illuminator to read direct product marking (DPM) type of barcodes.

Abstract: An anti-misplug detection mechanism may include: a plurality of first communication interfaces, and anti-misplug detection assemblies. The plurality of first communication interfaces may be used to be mutually plug-in connected to second communication interfaces on the code scanners one to one to form a plurality of code scanner plug-in assembly groups; and the anti-misplug detection assemblies may be arranged in groups with the first communication interfaces, and include a first matching structure, a second matching structure and a detector. The first matching structures and the first communication interfaces may be relatively fixed one to one, the second matching structures may be connected to the code scanners one to one through connecting elements, and a first mistake-proofing feature and a second mistake-proofing feature of the same group may be matched with each other.

Abstract: A ring scanner is disclosed. The ring scanner is configured to determine an inclination angle of the ring scanner with respect to a ground and based on the inclination angle set an operating mode for the ring scanner, where the operating mode includes either a communication mode or a scanning mode.

Abstract: A ring scanner is disclosed. The ring scanner is configured to receive an input selection of a keyword displayed on a display of the ring scanner. The keyword is linked to a routing function and the routing function is configured to route a scanned image or barcode obtained by the ring scanner to a destination computing device. Based on the input selection, the ring scanner can route the scanned image or barcode to the destination computing device. The ring scanner can receive from the destination computing device, a graphic to be displayed on the display of the ring scanner in response to the destination computing device processing the scanned image or barcode. The graphic can displays information or an action to be taken in response to the scanned image or barcode. The graphic may be displayed.

Abstract: A custom designed programming language for a ring scanner is disclosed. The ring scanner language, also referred to as RISL, is uniquely designed to meet the requirements and needs of ring scanners. It is meant to be a light weight language that can be written through one or more commands to generate custom screens/interfaces/cards of the ring scanner.

Abstract: A cable management system includes multiple cables, each having a unique identifier associated therewith and each including first and second barcodes including the unique identifier, the first barcode located proximate a first end of the cable, the second barcode located proximate a second end of the cable. The system also includes a barcode scanner to scan barcodes of the cables, the barcode scanner includes a clip to receive one of the cables. The system also includes a mobile computing device having a processor, data storage medium, communication unit, and user interface including a display. The mobile computing device is configured to receive via the user interface first end location information for a first cable, receive from the barcode scanner the first barcode of the first cable, and save and display the first end location information in association with the unique identifier of the first cable included in the first barcode.

Abstract: In an embodiment, a scanner device is provided. The scanner device includes an optical detector and a processor. The optical detector being configured to read an optical label and return a string representing the optical label. The processing device configured to execute an operating system and a software application. The operating system comprising an inspection module configured to (i) receive the string from the optical detector and (ii) execute a script able to specify how to interpret the string and how to alter or enrich the string before passing the string to the software application for processing.

Abstract: The present application provides an optical information collector and a method thereof. The optical information collector includes an image sensor, configured to collect image data of optical information; a decoding unit, configured to decode the image data based on a preset decoding algorithm; a central processor, configured to control the image sensor to collect the image data and control the decoding unit to decode the image data upon triggering. Once triggered, the central processor issues an instruction to discard N frames of image data in a specific frame number, where the N frames of image data in a specific frame number is image data that was previously collected and remaining in the optical information collector upon triggering, which can prevent residual image data from being decoded and outputted, causing a decoding error, thereby improving a decoding efficiency.

Abstract: An inspection system comprises: a placing surface having a plurality of areas for placing a plurality of gaming chips to be inspected one by one; an RFID reading system that reads the RFID tags of the gaming chips placed in each of the plurality of areas on the surface to obtain the type information and identification information for each of the areas; a chip recognition system that recognizes the presence or absence of at least one of the gaming chips placed in each of the plurality of areas of the placing surface; a control device that determines a status of the gaming chip in each of the areas of the placing surface based on the type and identification information obtained by the RFID reading system and the recognition results of the chip recognition system; and a display device that reflects the status determined by the control device for each area.

Abstract: Embodiments are directed to methods and techniques for providing power via piezoelectric components on contactless cards.

Abstract: An information management method, a device, a system and a medium. The information management method applied to a first terminal, including: sending an information acquisition request to a server, so that the server responds to the information acquisition request and sends visitor information to the first terminal; receiving the visitor information sent by the server; generating card information according to the visitor information; and sending the card information to an electronic card, so that the electronic card displays the card information.

Abstract: A dual interface transaction card for contact and contactless transactions includes a top metal layer having an upper surface and a bottom surface. The transaction card may also include a magnetic platform, and the magnetic platform may include a magnetic layer and a thermoplastic perimeter layer. The magnetic layer includes an upper surface, a bottom surface, and a periphery extending between the bottom surface and the upper surface of the magnetic layer. The thermoplastic perimeter layer surrounds the periphery of the magnetic layer. The transaction card also includes an antenna package layer.

Abstract: An antenna for a radio frequency identification transponder includes an electrically conductive main portion, an electrically conductive first transverse portion and an electrically conductive second transverse portion. The first and second transverse portions are connected to opposite portions of the main portion, extend in an antenna width direction and are spaced apart from each other in an antenna length direction. The antenna further includes an electrically conductive first tail portion extending in the antenna length direction and being connected to an end of the first transverse portion distal of the main portion. The main portion includes a loop and a plurality of meanders. The loop includes a pair of contacts configured for connecting the antenna to a radio frequency identification chip. An extension of the meanders in the antenna width direction is smaller than an extension of the loop in the antenna width direction.

Abstract: A long-range radio tag uses radio energy harvesting and separates the functions of radiofrequency excitation and radio tag reading such that the reader may be displaced at a substantial distance from the radio tags. The ability of the radio tags to communicate with a distant reader is further enhanced by a query system which allows a highly simplified message to be transmitted by the radio tags, as flexibly defined by a received query. The use of addressing and frequency multiplexing system allows a large number of tags to be serviced by a single reader.

Abstract: An architecture that includes a human, a human AI agent designed to understand and interact with the human, a system, and a system AI agent designed to understand and interact with the system. The human AI agent and the system AI agent are configured to be in communication with each other in a manner so that the human AI agent learns about the system and the system AI agent learns about the human so as to optimize an interaction between the human and the system. The human AI agent and the system AI agent are configured so that the human AI agent learns about the system and the system AI agent learns about the human during a set up process before the architecture is put in operation and during the operation of the architecture.

Abstract: The present invention provides a scalable digital twin system structure and a scalable digital twin service method that are capable of, based on a digital twin, performing real-time control of the real world while providing information required for the user to determine the optimal countermeasure in solve real-world problems in stages, thereby helping rapidly solve problems of the real-world. In order to preemptively respond to the real-world problems by providing decision support information with improved reliability according to a timeline based on a digital twin of a scalable structure, the operation of the digital twin is divided into several stages according to complexity and a result of each stage is transferred to an application service and the next stage, so that as the stage becomes higher, a more reliable result can be provided.

Abstract: Apparatuses, systems, and techniques to perform matrix computations associated with computing output of a neural network. In at least one embodiment, one or more circuits cause one or more feature maps of one or more neural networks to be spatially concatenated.

Abstract: A processor-implemented method for a neural architecture search (NAS) starts by generating an over-parameterized super network having multiple layers. The super network has multiple operator types. Each of the layers includes a largest super kernel corresponding to a search space. The method also includes performing gradient descent to evolve a largest super kernel to a small kernel corresponding to the search space in order to generate a range of kernel encodings. The method further includes identifying a subset of kernel encodings from the range of kernel encodings, for each layer of the super network, based on the gradient descent. The method determines a set of candidate architectures based on the subset of kernel encodings, each of the candidate architectures having a different model size. The method selects a target model, from the set of architectures, based on meeting hardware specifications, and then applies the target model.

Abstract: A neural network controller according to the present disclosed technology is a multilayer neural network controller having a weight matrix. The weight matrix of the neural network controller is updated on the basis of a loss function that is divided into cases by the gain of the closed loop and that is switched in a mode of presence or absence of a penalty term.

Abstract: A method of a communication node may comprise: transmitting required network configurations for applying each of artificial neural network models to a network node; and transmitting a status report of the first model including a model identifier field and a model information field for each of the artificial neural network models to the network node to activate at least one artificial neural network model among the artificial neural network models, wherein each of the required network configurations includes a configuration identifier and network configuration information.

Abstract: A convolutional neural network (CNN) processing method includes selecting a survival network in a precision convolutional network based on a result of performing a high speed convolution operation between an input and a kernel using a high speed convolutional network, and performing a precision convolution operation between the input and the kernel using the survival network.

Abstract: A system comprising a first expired drug usability device is provided. The first expired drug usability device comprises a first spectrometer and one or more first processors. The first processors are configured to: obtain at least one expired drug machine learning-artificial intelligence (ML-AI) model associated with a pharmaceutical drug; obtain drug expiration information of a sample of the pharmaceutical drug, wherein the drug expiration information comprises spectrometer data associated with using the first spectrometer on the sample; input the drug expiration information into the at least one expired drug ML-AI model to determine usability information associated with the sample of the pharmaceutical drug; and perform one or more actions based on the usability information.

Abstract: A hardware-aware zero-cost neural network architecture search system is configured to perform the following. A neural network search space is divided into multiple search blocks. Each of the search blocks includes multiple candidate blocks. The candidate blocks are guided and scored through a latent pattern generator. The candidate blocks in each of the search blocks are scored through a zero-cost accuracy proxy. One of the candidate blocks included in each of the search blocks is sequentially selected as selected candidate blocks, the selected candidate blocks are combined into multiple neural networks to be evaluated, and network potential of the neural networks to be evaluated is calculated according to scores of the selected candidate blocks. One neural network to be evaluated with the highest network potential is selected to determine the corresponding selected candidate blocks.