Abstract: The application discloses a method and a system for shaping flexible blocks on a chip canvas in an integrated circuit design. An input is received describing geometric features of flexible blocks. A set of flexible blocks are generated based on the input. Obtained block areas of the set of flexible blocks are computed. Whether the set of flexible blocks are legal is determined based on determining whether area differences between the obtained block areas and a plurality of required areas for the set of flexible blocks meet a requirement. The set of flexible blocks are updated until the set of flexible blocks are all legal.

Abstract: A method in certain embodiments includes using a computer system that includes an EDA tool to generate a layout of an IC device; searching, using a statistical method such as Bayesian optimization process, for one or more input variable parameters, such as the dimensions of the IC device and the dimensions of the voltage areas in the IC device, that results in an optimal characteristic, such as power, performance or area (PPA) of the IC device, subject to a limiting condition, such as one determined using a cost function. A computer system including one or more EDAs configured to perform the method is also disclosed.

Abstract: A method includes placing standard cells based on a standard cell library and generating layout data, and placing a filler cell selected from among a first type filler cell and a second type filler cell by using the layout data. The filler cell is placed based on a density of a pattern formed in the standard cell. The standard cell library includes data defining the first and second type filler cells. A density of a contact formed on an active region of the second type filler cell to contact the active region of the second type filler cell is lower than a density of a contact formed on an active region of a first type filler cell to contact the active region of the first type filler cell.

Abstract: Systems and methods for facilitating conversion of a page description language (PDL) representation of a correspondence to an accessible format are provided. According to one embodiment, a correspondence is received in a form of an input file represented in a PDL. Text strings and corresponding coordinates indicative of points at which the text strings are positioned within a printable area of a page of the correspondence or an electronic equivalent thereof are extracted from the input file. Information is received indicative of multiple groups of the text strings. Each group is processed in accordance with an associated rule selected from multiple rules to create an output file in which the text strings within a given group of the plurality of groups are excluded or included within an element of the output file based on application of the associated rule to the given group.

Abstract: Techniques for an intelligent document processing assistant are provided. In one technique, an electronic document is received and content thereof is automatically analyzed to determine a document type of the electronic document. Based on the document type, text data is extracted from the electronic document. The text data comprises multiple field values that correspond to multiple field names that are associated with the document type. Some of the field names and field values are presented on a screen of a computing device. In response to receiving, through the computing device, first user input that modifies at least one data item (in the text data that was extracted from the electronic document), the text data is updated to generate modified text data. Second user input that confirms the modified text data is received through the computing device. The modified text data is transmitted over a network to a data storage service.

Abstract: Embodiments of the disclosure provide a method and an apparatus for document editing, a terminal, and a non-transitory storage medium. The method includes: in response to receiving a first creation operation in a document, creating a first content block, wherein the first content block comprises an interactive region and the first content block is of a first type; generating a first editing region in response to a first triggering operation on the first content block, the first editing region being configured to edit the first content block; and updating content of the interactive region of the first content block in the document based on input information received in the first editing region. The document editing method provided by the disclosure is capable of providing an extended compilation function.

Abstract: The present disclosure provides an electronic document processing method and apparatus, a terminal, and a storage medium. An electronic document processing method, comprising: in a display interface of a first document, in response to a first operation, determining target document content associated with the first operation in the first document, the target document content being partial content of the first document, the partial content comprising at least one content block, and the content block being a unit for carrying the content of the first document; and in response to a second operation, collecting the target document content on the basis of the content block comprised in the target document content. It is available to collect partial content in an electronic document, and there is no need to collect the whole electronic document, such that accurate positioning and collecting are achieved, information is more compact.

Abstract: A data processing system implements receiving a first textual prompt from a first user via a first user interface of a first client device, the first textual prompt includes a textual description of content to be generated by a generative model; providing the first textual prompt as a first input to the generative model to obtain as an output first collaborative content based on the first textual prompt; receiving an edited version of the first collaborative content from the first client device that includes edits to the first collaborative content provided by the first user; providing the edited version of the first collaborative content as a second input to the generative model to obtain as an output second collaborative content based on the edited version of the first collaborative content; and causing the first client device to present the second collaborative content on the first user interface.

Abstract: A method and system for drafting a patent application. The method comprising (a) inputting a short description of an inventive concept into an AI machine; (b) querying the AI machine to draft one or more patent claims based on the short description; (c) inputting the drafted patent claims into a second query; and (d) requesting the second query to draft a patent application based on the drafted patent claims. The system comprising (a) an AI machine configured to receive a short description of an inventive concept and draft one or more patent claims based on the short description; (b) A second query interface configured to receive the drafted patent claims and draft a patent application based on the claims; and (c) a user interface through which a user can input the short description and receive the drafted patent application.

Abstract: A method can be performed by a browser. The method can include presenting at least a portion of a resource address; presenting a rendered webpage in a browser content window, the rendered webpage being associated with the resource address; presenting an annotation area, the annotation area being outside the browser content window; receiving, in association with a user account, an annotation in the annotation area; and storing the annotation in association with the user account and the resource address.

Abstract: A method, apparatus, and storage media for implementing an intelligent form filling system are provided. The system generates an association between a first field name and a second field name based on entry of field values by users into a first form document at a first device within a plurality of devices connected to a network and stores the association in a field name dictionary data structure at a server device connected to the network to form a field name association. The system identifies a field name in a second form document that matches the first field name or the second field name in the field name association. In response to the second user entering a value into the identified field, the system causes to be presented to the second user a prompt to associate the first field name and the second field name in a data file.

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: An information processing system includes a processor configured to: set an arrangement of headers in a two-dimensional table, in which an attribute value of a first attribute given to a file is a header of each row and an attribute value of a second attribute given to the file is a header of each column, with reference to history information in which a user and a cell selected by the user are recorded in association with each other in a case in which the user selects the cell of the two-dimensional table; and display the two-dimensional table in which the arrangement of the headers has been set.

Abstract: Technology is disclosed herein for the integration of spreadsheet environments and LLM services. In an implementation, an application receives a natural language input from a user associated with a spreadsheet. The application generates a prompt based on the user input and at least a portion of the spreadsheet. The prompt includes a statement of the problem, a request for an LLM service to identify preparatory steps before generating a solution to the problem, and a request to include the preparatory steps in output that includes the solution to problem. The application service receives a reply to the prompt from the LLM service that includes the output. The application service implements the preparatory steps with respect to data in the spreadsheet and implements the solution to the problem with respect to the data in the spreadsheet.

Abstract: Technology is disclosed herein for the integration of spreadsheet environments and LLM services. In an implementation, an application service inputs a first prompt to a LLM service to provide a formula suggestion for a spreadsheet. The application service receives a first output from the LLM service that includes a first formula in a programming language having a syntax that does not support comments. The application service generates a second prompt instructing the LLM service to provide a chain-of-thought breakdown of the first formula and receives a second output. The second output includes a second formula in the same programming language as the first formula and multiple comments corresponding to multiple portions of the second formula.

Abstract: Technology is disclosed herein for an application service which interfaces with an LLM service. In an implementation, the application service receives a natural language input from a user associated with a spreadsheet. The application service generates multiple prompts based on the natural language input and a portion of the spreadsheet and determines an order in which to input the prompts to an LLM service. The application service determines an order in which to input the prompts to an LLM service, then inputs the prompts to the LLM service according to the determined order.

Abstract: Technology is disclosed herein for an application service which interfaces with an LLM service. In an implementation, the application service receives a natural language input from a user associated with a spreadsheet. The application service generates a prompt based on the user input and at least a portion of the spreadsheet and submits the prompt to a large language model (LLM) service. The application service receives a reply to the prompt from the LLM service and responds to the input based on the reply from the LLM service.

Abstract: A spreadsheet apparatus accepts a calculation formula for executing calculation with a target being a calculation element that is input in a table format, as a first calculation formula of a first format including a first part corresponding to a description format of referring to a cell of a table and a second part corresponding to a description format for mathematical natural display, and executes one of (i) a calculation process for calculating the first calculation formula by using a value of the cell that the first part refers to, and (ii) a display process for displaying on a display the first calculation formula in a display mode of the mathematical natural display indicated by the second part.

Abstract: The disclosed technology creates a family of (predefined formula) spreadsheet functions which allows users to create programming loop equivalents in their regular spreadsheet cells employing familiar range functions (e.g., SUM, COUNT, MIN, MAX, etc.) with data filtering and output selection. The data can be sourced from multiple cells within the spreadsheet or a broad spectrum of numeric, date and text data not stored in a spreadsheet, including data not discretely defined. The technology disclosed can use as inputs either cell ranges or Non-Spreadsheet Cell (NSC) data formulas. The capability allows users to specify standardized or highly custom calculations capable of executing millions of loops through a (predefined formula) spreadsheet function.

Abstract: The present disclosure relates to a spreadsheet processing method and apparatus, an electronic device, and a storage medium. The method according to an embodiment of the present disclosure includes: determining a target cell; displaying a data editing interface in response to a first operation; determining an option data set based on a second operation on the data editing interface, where the option data set includes N items of option data, and N is a positive integer; determining M cell color schemes based on the N items of option data in response to a first control displayed in the data editing interface being triggered, M is a positive integer not greater than N; and associating the M cell color schemes with the N items of option data, so that each item of option data is capable of being displayed in the target cell according to an associated cell color scheme.

Abstract: Systems and techniques are provided for generating a social asset from an electronic publication. The system includes providing a template having a set of reserve spaces for elements. The system receives an electronic publication containing elements including images and text passages. The system assigns images from the publication to each of the reserve spaces for images including assigning a first image from the publication to a first reserve space of the reserve spaces for an image. The system chooses a first text passage of the text passages for associating with the first image. The system selects a portion of less than all of the first text passage. The system generates a social asset by processing the set of reserve spaces to automatically move forward in an animated manner wherein the selected portion of the first text passage superimposes a portion of the first image.

Abstract: A method, computer system, and computer program manage revisions in a document. The document is displayed in a graphical user interface. The document comprises a structured data object composed from a set of tiles, wherein each tile corresponds to one or more data nodes. The tiles are composable according to a domain-specific language of an integrated development environment. One or more revisions to the structured data object are received in sequence. The revisions to each data node of the set of tiles composing the structured data object are independently managed, enabling each revision to be independently reverted to a prior state irrespective of the sequence and revisions to other data nodes of the set of tiles and without reverting the other data nodes of the structured data object to their prior state.

Abstract: A technical solution for processing a model generation result, which relates to the field of artificial intelligence technologies is disclosed. An implementation includes: disassembling a text generation result of a generative large model to obtain a plurality of result logic units; wherein each result logic unit includes a segment in the text generation result; each segment is capable of independently identifying one premise or conclusion in a logical inference relationship of the text generation result; and the text generation result is a response result generated by the generative large model based on text input information; generating a logical inference graph capable of characterizing a logical inference relationship among the plurality of result logic units based on the plurality of result logic units; and determining whether logical inference of generation of the text generation result by the generative large model is correct or not based on the logical inference graph.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by generating a natural language sequence, which is a candidate for a first person to utter or not utter at least partially responsive to and based on a detected natural language utterance of a second person. A first score indicative of customer satisfaction is determined based on the content of the detected natural language utterance and learning patterns or associations within historical transcripts between, for instance, a customer and a customer service agent. Based on the level of customer satisfaction, the natural language sequence is generated.

Abstract: There is provided a method for determining text blocks of a PDF text, including: acquiring information of characters of the PDF text; performing an initial division according to gap outliers of the PDF text in a transverse direction and a longitudinal direction, and adding block tags of first text blocks to the information of characters; sequentially processing inaccurate lines and inaccurate words in each first text block according to baselines of characters, character lengths, character spaces and character indexes; performing a baseline arrangement on lines of the PDF text; sequentially comparing two lines to form second text blocks; and sequentially comparing two second text blocks to identify whether to perform a secondary merging and a secondary division.

Abstract: An information processing apparatus includes: an input unit configured to input a menu name of a restaurant; an output unit configured to output a category name; a storage unit configured to store the menu name and the category name corresponding to the menu name so as to be associated with each other; a morphological analysis unit configured to execute morphological analysis to divide the inputted menu name into words and determine parts of speech; and a specification unit configured to generate, in a case where no category name corresponding to the inputted menu name is stored, a feature amount vector characterizing whether each of the words is included in the menu name or not as a result of the morphological analysis, and specify a category name corresponding to the inputted menu name based on a result of learning the menu name and the category name.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for classifying text strings, augmenting text strings, and identifying classified text strings for intelligent autofill are provided. A fact store may be populated with facts from a plurality of data sources associated with a user account. The fact store may comprise unstructured data, semi-structured data, and structured data. An intent type associated with a text string displayed by a local computing device may be determined. The text string may comprise form data or freeform data. A context associated with the local computing device may also be determined. Based on the intent type and the context, a text string corresponding to a fact in the fact store may be identified for surfacing on the local computing device.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for distillation of a natural language processing model. An example method includes receiving, by communications circuitry, a set of text data comprising a set of observations and predicting, by processing circuitry and using the NLP model, classifications for each observation in the text data. The example method further includes generating, by model training engine, a balanced sampled data structure based on the predicted classifications for each observation in the text data and training, by the model training engine, a surrogate model using the balanced sampled data structure. The example method further includes identifying, by an interpreter and from the surrogate model, a set of most-influential tokens in the text data.

Abstract: Provided are a method and an apparatus for relation extraction from a text. According to an embodiment, relation information is extracted from the text by using both a noisy label and an accurate label. As a result, relation extraction accuracy is improved.

Abstract: The disclosed systems, methods, schemes, techniques and processes implement an advanced content intelligence platform in a manner that creates predictably high performing content to meet a the objectives of users and enterprises by combining human intelligence with deep machine learning to determine a full body of content relevant to the objectives of a user or enterprise regarding a content output involving the steps of applying content intelligence to perform a deep dive into the information available on a specific topic, and to determine which of the available content may be particularly adapted to achieving the objectives of the user or enterprise in delivering optimized output content.

Abstract: A system for digital content that includes a content management system, an ontology manager and a chat bot, all executing and in communications coupling on a digital data processing system. The content manager stores a plurality of tagged digital assets. The ontology manager stores a list of (or otherwise maintains) plural facets, each corresponding to one or more tags—and at least one corresponding to two or more tags, e.g., of differing domains—of the content management system. One or more dialog segments and sequence identifiers are maintained in the ontology manager, as well, each associated with one or more other facets. The chat bot drives a conversation with an end-user based on facets identified as associated with assets in the content management system and using dialog segments associated with those facets, while excluding those facets not so identified.

Abstract: Methods, systems, and devices to support intent discovery using natural language interface are described. A computing system associated with an organization may perform intent discovery using a neuro-symbolic method to generate a set of intents for a set of conversation data sets. For example, the computing system may identify a set of hypotheses for a set of conversation data sets using domain-specific information. The computing system may use a natural language inference engine to generate, for each of a set of data pairs which each include a respective conversation data set and a respective hypothesis, a probability of whether the hypothesis of the data pair is positively entailed by the conversation data set of the data pair. For each probability that satisfies a threshold probability, the computing system may add the associated hypothesis to a set of generated intents.

Abstract: Technology is disclosed herein for an application service which interfaces with an LLM service. In an implementation, the application service receives a natural language input from a user associated with a spreadsheet. The application service generates a prompt based on the user input and at least a portion of the spreadsheet. The prompt constrains the LLM service to a domain specific to the spreadsheet based on the portion. and submits the prompt to the LLM service. The application service receives a reply to the prompt from the LLM service and responds to the input based on the reply from the LLM service.

Abstract: Technology is disclosed herein for the integration of spreadsheet environments with LLM services. In an implementation, an application service receives a natural language input from a user associated with a spreadsheet hosted by a spreadsheet application. The application service generates a prompt based on the natural language input which includes asking a large language model (LLM) service to classify a statement in the input as referring to one of multiple capabilities of the spreadsheet application. The application service inputs the prompt to the LLM service and receives an output from the LLM service which identifies a determined one of the multiple capabilities. The application service generates a revised prompt based on the input and the determined one of the multiple capabilities and inputs the revised prompt to the LLM service.

Abstract: Systems and method are provided for extracting and processing terms referenced in multimedia content with the use of different term extraction models to determine the relevance of categories to the referenced terms and to rank the categories by relative dominance for the multimedia content. The most dominant category for the multimedia content and/or particular segment(s) of the multimedia content can then be identified and used to link to supplemental content and/or to identify multimedia content related to topics of interest.

Abstract: Embodiments provide a generative AI creation framework to a customized generative AI stack using a foundational model (such as GPT) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. In one embodiment, organization-specific knowledge may be injected into either the prompt and/or the foundational model. In this way, the customized generative AI stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive AI chat applications.

Abstract: An embodiment for a method of generating and selecting optimal translations for user interfaces by balancing translation integrity and user interface design requirements. The embodiment may receive text to be translated from a first language to a second language within a user interface design context. The embodiment may generate a plurality of translations of the received text, each of the plurality of translations having a respective translation integrity value and text length. The embodiment may calculate a translation deviation range for the received text. The embodiment may determine one or more optimal user interface designs and calculate a guided text length range for the received text. The embodiment may select optimal translation outputs by balancing the respective translation integrity values and the text lengths for each of the generated plurality of translations against the calculated translation deviation range and the calculated guided text length range for the received text.

Abstract: A text generation model generating device is a device generating a text generation model generating output text of a second language in accordance with input of input text of a first language and includes: an encoder input unit configured to input first data composing input text to an encoder; a decoder input unit configured to input a context used for designating conditions for output text, a start symbol, and second data composing output text to a decoder; an update unit configured to update weighting coefficients configuring the encoder and the decoder on the basis of an error for each word between an array of words output from the decoder in a later stage after input of the start symbol and an array of words included in the second data; and a model output unit configured to output the text generation model in which the weighting coefficients are updated.

Abstract: A method for identifying a radio frequency (RF) tag is illustrated. The method includes receiving a user input pertaining to a data portion to be searched in one or more RF tags and a semantic information associated with the data portion, determining an encoding scheme based on the semantic information associated with the data portion to be searched, encoding the data portion using the determined encoding scheme to generate an encoded data portion, transmitting an interrogation command to the one or more RF tags, and receiving the response signal from the RF tag.

Abstract: A container includes a surface defining a volume of the container, a first resonance portion disposed on a first portion of the surface of the container using one or more first carbon-based inks, and a second resonance portion disposed on a second portion of the surface of the container using one or more second carbon-based inks different than the one or more first carbon-based inks. The first resonance portion can resonate within a first range of frequencies in response to one or more electromagnetic pings received from a user device, and the second resonance portion can resonate within a second range of frequencies in response to the one or more electromagnetic pings, the second range of frequencies being different than the first range of frequencies. In some instances, the user device may be a smartphone, a radio frequency identification (RFID) reader, or a near-field communication (NFC) device.

Abstract: A data collection system able to provide in real-time sensor data and asynchronous sensor data is described. The data collection system comprises at least one tag device comprising a battery, a memory, a transceiver, a controller, and at least one sensor. The tag device being adapted for generating and transmitting a beacon signal at first intervals; and for storing the data in memory when no reception signal is received within a first time lapse. The data collection system comprises a bridge device comprising a controller and a transceiver. The bridge device being adapted for receiving, tether-free from the at least one tag device, the beacon signal; and transmitting the reception signal in response to the beacon signal. The tag device is also adapted to transmit asynchronous signals when the beacon signal is received.

Abstract: A method of acquiring information of an accessory connected to a vehicle. The method comprises, in a control unit of the vehicle, acquiring an accessory identifier from the accessory. The method further comprises transmitting the accessory identifier to a remote server comprising accessory information, matching, in the server, the accessory identifier with corresponding accessory information, transmitting the accessory information to the vehicle and receiving the accessory information in the control unit.

Abstract: A method for estimating channel parameters includes: sending a paging signal for identifying the tag device; sending training sequence information, receiving first training sequence feedback information during a non-working period of the tag device, receiving, during a working period of the tag device, second training sequence feedback information modulated by the tag device, and estimating the channel parameters of the tag device according to the training sequence feedback information and the second training sequence feedback information. The tag device having at least one antenna of the present disclosure can modulate carrier signals to transmit information, has advantages such as a fast transmission rate, a large amount of transmission data and a strong anti-interference capability, and can adapt to different application scenarios.

Abstract: Systems and methods for user identification (ID) document verification are provided. An exemplary method includes receiving an image of an ID document. A determination is made whether the ID document includes a near-field communications (NFC) chip that stores an ID photo associated with the ID document. Based on this determination, the ID document is verified by selectively using at least one of NFC chip authentication and optical authentication, to obtain a first verification result. Also, a photo of the user is captured by a camera associated with the client device. The method further includes receiving the photo of the user by a service provider; comparing the photo stored on the ID document with the photo of the user; based on the comparison, providing a second verification result for the ID document; and transmitting both the first and second verification results to the client device.

Abstract: An egg information management system of the present disclosure is a system that manages information of eggs that are produced in a farm, placed on a utensil attached with a unique identification tag, and transported to a sorting place. The information management system manages information concerning the farm transmitted to a cloud system that is accessible both from a farm side user device and a sorting place side user device, and information concerning weight of eggs placed on the utensil in association with the unique identification tag.

Abstract: Systems, apparatuses, methods, and computer products for automatic switching of object detection modes are provided, including for switching of object detection modes of an indicia reader. For example, an indicia reader of a barcode scanner may be in an environment where a background is detected by one or more infrared object detection modes. The detection of the background but not an object with an indicia may result in the indicia reader continuously seeing the background. In accordance with the present disclosure, an indicia reader may automatically switch between a plurality of object detection modes, which may include deactivating one or more components, modules, and/or circuitry of the indicia reader.

Abstract: Apparatuses, systems, and methods for providing a one sensor near far solution to minimize field of view mismatch and aiming offsets are provided. For example, an indicia reader utilizing dual optics may include an engine comprising a near field imaging optic and a far field imaging optic that split an imaging sensor array and a aimer; wherein the near field imaging optic, the far field imaging optic, and the aimer are configured in a triangular arrangement to minimize the field of mismatch and aiming offsets. In some embodiments, the far field imaging optic may be configured to utilize a two or more prisms to provide a periscope configuration.

Abstract: Systems, methods, apparatuses, and computer program products to determine a required reconfiguration of a PARS sequence, and quickly estimate the charge time of a fully passive A-IoT tag. One method may include a UE reader determining whether a back-scatter signal for at least one known tag identifier was received for each of at least one PARS; determining whether more than one back-scatter signal for the at least one known tag identifier was received for the first of the at least one PARS; determining whether a previous increase in a total power of at least one PARS burst was performed below a granularity threshold; and calculating a current charge time of an ambient tag based upon a previous iteration.

Abstract: A card, system, and method for validating a user's identity with card image steganography are provided. The system includes a card, a user device, and a processor. The card comprises a face with a steganographic pattern encrypted onto its substrate. The processor is configured to receive a request associated with the card, recognize the biometric data from the steganographic pattern on the card, and verify the user's identity by matching the user's biometric to the card's biometric.

Abstract: A card body for a chip card, includes a module opening for receiving a chip module having a coil, a metal layer having a slot which extends from an outer edge of the metal layer to the module opening, and a plastic layer which is applied to one side of the metal layer. The module opening has a blind hole cut out of the plastic layer and the metal layer and an outer area which surrounds the blind hole which is cut out of only part of the height of the plastic layer. A further slot is provided in the outer region in the metal layer.