Abstract: The present disclosure relates to UI systems and processes including rendering of text in a combination of styles and sizes to a computer graphics display. Text may be rendered with one or more emphases to modify style, size, and weight according to emphases weightings and or relative positions of text to be emphasized.

Abstract: A document processing apparatus includes an operation reception unit and a processing execution unit. The operation reception unit receives an operation for inputting an instruction to a document processing application from a user. The processing execution unit executes, when the operation reception unit receives a single operation, display switching processing for switching, every time the single operation is received, between display and non-display of a button that is assigned an instruction to the document processing application, the button being displayed on a display screen of the document processing application.

Abstract: The present disclosure relates to methods for creating and transmitting annotations to annotation servers. In addition, the rationale and utility for employing these methods is discussed in detail. The annotations can be created on web pages and pdf documents displayed within web browsers. These methods are required for advanced web browser functionality that allows sophisticated user interaction in a networked environment. These methods allow for a web browser to transmit annotation elements including highlighted text selections, annotation comments, uniform resource locators (URLs), document object model (DOM) contexts, screenshots with marked annotation highlighted text, and annotation symbols to an annotation server. The utility of the transmission of these elements to important higher level functionality and useful network based collaboration and discussion is explained.

Abstract: The present disclosure relates to methods and systems for organizing, viewing, and connecting annotations of web documents within web browsers. The rationale for connecting annotations is discussed in detail along with mechanisms to enhance asynchronous, guided viewing within web browsers. Furthermore, data structures and processes for constructing this functionality are discussed with the aid of use case and sequence diagrams as well as verbal descriptions. In addition, guidance is provided for hardware system specifications and architectures of the exemplary systems that are discussed.

Abstract: The present disclosure relates to systems for creating, organizing, viewing, and connecting annotations of web documents within web browsers that are made to be annotation capable. The rationale for designing systems using the principles disclosed herein is explained in detail. This rationale is illustrated using sequence diagrams and use case diagrams to elucidate the need for the design principles and data structures employed. The disclosure also provides exemplary hardware specifications and describes design tradeoffs.

Abstract: Techniques are described relating to the identification of location of content within an electronic document. Techniques may include generating a location identification rule specifying one or more parameters for identifying a location identifier (LID) for each of the one or more streams associated with the content of the electronic document. Further, the LID may be generated in accordance with the location identification rule. The LID may be assigned to at least a portion of the content, such that the portion of the content within the electronic document may be located in accordance with the LID.

Abstract: Technologies are provided for automatically comparing versions of a regulatory document and highlighting meaningful changes to each version of the regulatory document. An analysis engine accepts two inputs of a regulatory document in HTML format. One input is an original version of the regulatory document and one input is a revised version of the regulatory document. The documents are processed by the analysis engine to highlight added content as compared to the original version of the HTML content and the second document being processed to highlight removed content as compared to the revised version of the HTML content. These highlighted documents are then presented to the user.

Abstract: In some embodiments, a method is provided for updating an editing parameter for a model for automatically suggesting revisions to text data. The method may include displaying, on a graphical user interface (GUI) of a user device, one or more interactive input elements, wherein each of the one or more input elements is associated with an editing parameter for a model for automatically suggesting revisions to text data. The method may include receiving, via the GUI, an input from a selected input element of the one or more input elements, wherein the input comprises an indication of a value for a selected editing parameter associated with the selected input element. The method may include updating the selected editing parameter for the model based on the value. The method may include using the model with the updated selected editing parameter to apply an edit operation to an obtained text-under-analysis.

Abstract: Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the log having a plurality of entries. Aspects also include creating a set of log entry templates by processing the log documentation associated with the log, wherein each log entry template includes one or more constants and one or more variables. Aspects further include annotating each of the plurality of entries based on the set of templates, wherein the annotating includes labeling each value of the one or more variables with a variable name.

Abstract: An electronic device: displays a first portion of content within an application interface; detects a screenshot capture input; and, in response to detecting the screenshot capture input: captures a screenshot image of the first portion of the content; and displays a screenshot editing interface that includes the screenshot image of the first portion of the content within an image area and expansion affordances provided to expand the screenshot image. The electronic device also: while displaying the screenshot editing interface, detects an expansion input that corresponds to expanding the screenshot image in one or more dimensions; and, in response to detecting the expansion input, modifies the screenshot image by displaying a second portion of the content within the image area in addition to the first portion of the content, where the second portion of the content was not displayed before detecting the screenshot capture input.

Abstract: A reactive spreadsheet in which the functionality of the reactive spreadsheet is decoupled from the visualization, where the same object or variable may appear in different tabs and panels while still retaining its identity.

Abstract: A computing system receives a request to generate one or more narrative frameworks for a worksheet. The worksheet is hosted by a third party server. The computing system interfaces with the third party server to retrieve data associated with the worksheet. The computing system infers attributes of the worksheet from the retrieved data. The attributes correspond to a type of data represented in the worksheet. The computing system generates a narrative template for the one or more narrative frameworks. The computing system generates one or more data variables for the one or more narrative frameworks based on the generated narrative template. The computing system constructs the one or more narrative frameworks by selectively retrieving data from the worksheet for each data variable of the one or more data variables in the narrative framework.

Abstract: Embodiments for managing collaborative editing of content are provided. At least one user interface is provided to a first user and a second user. The at least one user interface is configured to selectively provide the first user and the second user with the ability to edit content. Time-limited editing periods associated with the at least one user interface are established for the first user and the second user. During a first of the time-limited editing periods, the first user is provided with the ability to edit the content, and the second user is prevented from editing the content. During a second of the time-limited editing periods, the second user is provided with the ability to edit the content, and the first user is prevented from editing the content. The second of the time-limited editing periods does not overlap with the first of the time-limited editing periods.

Abstract: Disclosed are devices, systems, apparatuses, methods, products, and other implementations for improving the accuracy and latency in work estimation systems and methods through the invocation of serverless applications and/or servers and the interfacing of natural language processing endpoint devices.

Abstract: Systems and methods are provided for receiving a query created by a user, receiving output data of at least one function to retrieve data related to the query and analyzing the output data of the at least one function to retrieve data related to the query. The systems and methods further provide for generating at least one dynamic knowledge graph associated with the output data of the at least one function, wherein the at least one dynamic knowledge graph comprises data from the output data of the at least one function and indicates relationships between the data, analyzing the at least one dynamic knowledge graph to determine data relevant to the query generated by the user, and generating a response to the query based on the data relevant in the at least one dynamic knowledge graph.

Abstract: A language sequence labeling method and includes: reading a first embedding representation of a language sequence, the first embedding representation including a character-level word embedding representation, a pre-trained word embedding representation, and a global word embedding representation of the language sequence, the global word embedding representation referring to a global context representation of the language sequence; performing first depth transformation (DT) encoding on the first embedding representation based on a first DT recurrent neural network (RNN), to output a first hidden-layer state representation corresponding to each word in the language sequence; and decoding the first hidden-layer state representations of the language sequence, to obtain a labeling result of one or more elements in the language sequence.

Abstract: Methods, apparatus, and products for creating an executable process from a text description written in a natural language in accordance with the present invention are described. A set of propositions is extracted from a text document written in a natural language. Based on the set extracted of propositions, a set of formulas is extracted from the text document. A state transition graph comprising a set of proposition value determination paths constrained by the set of formulas is then created. The state transition graph is translated into a software application.

Abstract: An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

Abstract: The present application discloses a method for image text recognition, an apparatus, a device, and a storage medium, and relates to image processing technologies in the field of cloud computing. A specific implementation is: acquiring an image to be processed, where at least one text line exists in the image to be processed; processing each text line in the image to be processed to obtain a composite encoded vector corresponding to each word in each text line, where the composite encoded vector carries semantic information and position information; and determining a text recognition result of the image to be processed according to the semantic information and the position information carried in the composite encoded vector corresponding to each word in each text line. This technical solution can accurately distinguish adjacent fields with small pixel spacing in the image and improve the accuracy of text recognition in the image.

Abstract: An embodiment calculates a point of view (POV) value for a subportion of an item of media content, including evaluating user inputs related to an automatically detected POV of the subportion of the item. The embodiment also calculates a non-factual cost for the subportion of the item indicative of an amount of the subportion of the item that lacks support in a fact-based corpora. The embodiment also performs a cascaded summarization process comprising generating a summary of the item using the subportion of the item and a summarization technique, analyzing the summary using a fact-checking algorithm to determine whether the summary satisfies a factual score threshold, and performing a next iteration of the cascaded summarization process while the summary fails to satisfy the factual score threshold. The embodiment also communicates a summary satisfying the factual score threshold to a user device.

Abstract: An agent automation system implements a virtual agent that is capable of learning new words, or new meanings for known words, based on exchanges between the virtual agent and a user in order to customize the vocabulary of the virtual agent to the needs of the user or users. The agent automation framework has access to a corpus of previous exchanges between the virtual agent and the user, such as one or more chat logs. New words and/or new meanings for known words are identified within the corpus and new word vectors are generated for these new words and/or new meanings for known words and added to refine a word vector distribution model. The refined word vector distribution model is then utilized by the agent automation system to interact with the user.

Abstract: A method includes receiving a dataset that includes a plurality of input texts. Each input text from the plurality of texts is associated with a content category from a plurality of content categories based on a comparison between that input text and an intended meaning that is common for each comparison. For each model in a plurality of models, and for each content category from the plurality of content categories, that model is executed on each input text from the plurality of input texts to generate an average similarity/dissimilarity score for that content category. At least one model from the plurality of models is selected, based on the average similarity score for each content category from the plurality of content categories for each model in the plurality of models, to determine whether an input text is similar/dissimilar to the intended meaning.

Abstract: A method, computer system, and a computer program product for masking identifying traits contained in response text is provided. Embodiments may include receiving a request to anonymize response text in response to a predefined respondent interaction, wherein the response text is generated by the respondent and then obtaining the response text, wherein the obtained response text has semantic characteristics. Next, the obtained response text may be input into a natural language processing (NLP) algorithm and thereafter receiving an alternative masking text as output from the NLP algorithm, wherein the received alternative masking text maintains the semantic characteristics of the obtained response text. Finally, the response text may be replaced with the received alternative masking text.

Abstract: Described herein are systems and methods for neural machine translation (NMT) of languages between network operation systems. The languages may be a query language, such as a XML path, to navigate through elements and attributes in an XML document. An NMT model comprises an encoder and a decoder to implement the machine translation. The encoder encodes a source sentence as a sequence of encoder hidden states. The decoder may incorporate attention mechanism to generate a target sentence, conditioned on the encoder hidden states. The NMT model may also use a modified beam search with variable beam width and search scope for each search step to speed up search process with a balance of accuracy and processing cost. Evaluation results demonstrate that embodiments of the present disclosure may be used in a recommender system for XPath auto-generation between different network operation systems.

Abstract: A key entry device including a housing, a keypad array disposed within the housing and including a plurality of keys, a key contact array disposed within the housing below the keypad array and including a plurality of contact pairs, a dome array underlying the keypad array and the key contact array and including a plurality of domes, and a protrusion array underlying the dome array and including a plurality of protrusions, whereby depression of one of the plurality of keys of the keypad array causes a corresponding one of the domes of the dome array to be displaced downwardly and to be deformed by pushing engagement with a corresponding one of the protrusions of the protrusion array into contact with at least one of the contact pairs of the key contact array.

Abstract: Included are: a storage unit that stores device installation position information indicating installation positions for devices installed under floors of vehicles of a train, stores reading locations at each of which at least one individual information item identifying one of the devices is read from an identification tag storing the individual information item, each of the reading locations being where radio waves are emitted toward the identification tag affixed to corresponding one of the devices, and stores, correspondingly to radio wave strength for each of the plurality of the reading locations, at least one individual information item that is read with varied radio wave strengths in radio wave emission; and a position specifying unit that ascertains which device carrying the individual information item is in which installation position of the vehicles of the train and associates the installation position with the individual information item identified.

Abstract: Systems and methods for identification (ID) document verification using hybrid near-field communications (NFC) authentication and optical authentication are provided. An exemplary method includes receiving, by a client device, an image of an ID document. Based on the image of the ID document, a determination is made whether the ID document includes a near-field communications (NFC) chip that stores data comprising identifying information for an owner of the identification. Based on this determination of whether the ID document includes an NFC chip, the ID document is verified by selectively using at least one of NFC chip authentication and optical authentication, to obtain a verification result.

Abstract: A distribution system is disclosed for use in an induction system with an object processing system. The distribution system provides distribution of dissimilar objects into one of a plurality of receiving units. The distribution system includes an urging system for urging an object on a conveyor from the conveyor to one of a plurality of adjacent receiving stations via a receiving chute, wherein each receiving station is lower than the conveyor.

Abstract: A cash counter with an infrared light source for scanning imaging is provided. The cash counter includes a cash counter body, the cash counter body including a cash feeding table, a cash dispensing assembly, an infrared light source emitting assembly, an infrared light source receiving assembly, a motor, a transmission assembly, a display screen for displaying the number of cashes, a cash receiving assembly and a cash receiving rack; the infrared light source emitting assembly and the infrared light source receiving assembly are provided to face each other; the cash receiving assembly receives the identified cashes and transfers the identified cashes to the cash receiving rack; and the motor supplies power for the cash dispensing assembly, the cash receiving assembly and the transmission assembly to rotate, respectively.

Abstract: A system is described to create customized unique identification (UID) codes combined with customized printable optical or NFC sensors and to combine these unique sensors and unique IDs with unique environmental events, traceability, unique data from cell phones (including geolocation) and person-specific unique indicators such as biomarkers to create completely unique, low cost and proprietary printable genomic and environmental blockchain sensor networks for the Internet of Things (IoT), counterfeit identification, healthcare, pharmaceutical applications and small payment transactions worldwide.

Abstract: A color bar code comprising a code block is disclosed. The code block comprises: a header region, comprising a specific color; and a code region, comprising at least two code color bars with different color kinds, wherein a color sequence of the code color bars indicates a code. The code color bars form concentric layers surrounding the header region. Such color bar code can comprise more information and the contained therein is more easily to be acquired. A code determining system which can determine the code in the color bar code is also disclosed.

Abstract: A sensor device is provided that includes a fingerprint sensor and an antenna coupled with the fingerprint sensor for inductive coupling of the fingerprint sensor with a booster antenna.

Abstract: RFID technology may be used to provide digital identities for physical items. An RFID IC attached to or integrated into a physical item contains an identifier for the physical item. Digital identity information associated with the item, such as ownership information, history, properties, and the like, may be located on one or more networks. An entity, after authenticating itself and/or the item, may use the identifier to locate, retrieve, and/or update the item's digital identity information on the network.

Abstract: Systems and methods are disclosed for using a color changing surface to display a status of a storage device. In certain embodiments, a storage includes a display-less enclosure, non-volatile memory, memory configured to store firmware, and control circuitry. The control circuitry can be configured to determine an available space in the non-volatile memory, determine a first color corresponding to the available space based on a mapping of ranges of available space to corresponding colors, apply a voltage to the electrochromic material to change the color changing surface to the first color, and cease application of the voltage to the electrochromic material, wherein the color changing surface retains the first color after cessation of the voltage.

Abstract: An electronic module for a chip includes a first dielectric substrate provided on one of the faces thereof with a first microelectronic chip whose input/output terminals are connected to first connection pins which are arranged around the first microelectronic chip, and a second dielectric substrate which is placed directly opposite the first substrate and which is provided on one of the faces thereof with a second microelectronic chip whose input/output terminals are connected to second connection pins which are arranged around the second microelectronic chip. The first and second microelectronic chips are arranged on the faces of the substrates directed towards the interior of the electronic module. A dielectric shim has a calibrated thickness and separates the first and second dielectric substrates. The shim has through-holes or vacancies accommodating electrically conductive materials connecting some of the first connection pins to some of the second connection pins.

Abstract: A method for producing hoselines having at least the following working steps: a) providing a hoseline or pipeline blank (1, 2, 3) of at least one elastomeric and/or thermoplastic base material in a production device, while reinforcing elements may be embedded in the base material; and b) introducing an RFID structure (4, 4A, 4B, 4C) into the outer layer (3) of the hoseline or pipeline blank (1) in the axial direction parallel to the longitudinal axis of the hoseline or pipeline blank (1) and synchronously with the feed rate of the production device, the RFID structure having at least one carrier (4A) and the RFID structure (4, 4A, 4B, 4C) having RFID chips (4B) securely arranged on the carrier (4A) at predetermined spaced intervals.

Abstract: Disclosed is an electronic card, in the form of a flexible smart card provided with a flexible circuit, that includes a bottom face receiving electronic components and a top face provided with contact tabs intended to be connected to conductive tracks of a garment textile. The flexible circuit being covered on its bottom face with at least one bottom layer of bonding adhesive, first polymer layers provided with cutouts for receiving components and second polymer layers for encapsulating the components, and covered on its top face with a top layer of bonding adhesive and at least one top layer forming an outer face of the card made from polymer material provided with cutouts for accessing the contact tabs, in which at least some of the contact tabs are produced on the rim of the card and provided with an end part on the edge of the card.

Abstract: Approaches describe a mobile computing device, e.g., an ergonomically configured connected counting device, to capture counts of people, products, or any countable object, store the counts and associated information in a central repository for access by other connected counting devices. The counts and associated qualifying information can then be displayed through mobile devices and web applications, and can display count data with sales, demographic and other qualifying data sources to provide information for qualitative and quantitative reporting, as well as enable count based automated promotions through traditional channels and social networks.

Abstract: Cognitive assistants which use feedback to highlight relevant points of interest to a user so that recommendations can be provided to the user based upon learned knowledge of the users preferences, tastes and customs are provided. For this purpose a computer-implemented method includes capturing user data of a user from a plurality of sensors, determining a cognitive state of the user from the captured data, correlating the user data to the cognitive state of the user, and making recommendations to the user based on the correlation of the user data and the determined cognitive state of the user.

Abstract: In Multi-Policy Decision-Making (MPDM), many computationally-expensive forward simulations are performed in order to predict the performance of a set of candidate policies. In risk-aware formulations of MPDM, only the worst outcomes affect the decision making process, and efficiently finding these influential outcomes becomes the core challenge. Recently, stochastic gradient optimization algorithms, using a heuristic function, were shown to be significantly superior to random sampling. In this disclosure, it was shown that accurate gradients can be computed-even through a complex forward simulation—using approaches similar to those in dep networks. The proposed approach finds influential outcomes more reliably, and is faster than earlier methods, allowing one to evaluate more policies while simultaneously eliminating the need to design an easily-differentiable heuristic function.

Abstract: Techniques, systems, and devices are described for implementing for implementing computation devices and artificial neurons based on nanoelectromechanical (NEMS) systems. In one aspect, a nanoelectromechanical system (NEMS) based computing element includes: a substrate; two electrodes configured as a first beam structure and a second beam structure positioned in close proximity with each other without contact, wherein the first beam structure is fixed to the substrate and the second beam structure is attached to the substrate while being free to bend under electrostatic force. The first beam structure is kept at a constant voltage while the other voltage varies based on an input signal applied to the NEMS based computing element.

Abstract: Methods and systems of predicting the growth rate of hydrogen-induced cracking (HIC) in a physical asset (e.g., a pipeline, storage tank, etc.) are provided. The methodology receives a plurality of inputs regarding physical characteristics of the asset and performs parametric simulations to generate a simulated database of observations of the asset. The database is then used to train, test, and validate one or more expert systems that can then predict the growth rate and other characteristics of the asset over time. The systems herein can also generate alerts as to predicted dangerous conditions and modify inspection schedules based on such growth rate predictions.

Abstract: A method of implementing a neural network in a neuromorphic apparatus having a memory and processing circuitry, where the method includes dividing, by the processing circuitry, the neural network into a plurality of sub-networks based on a size of a core of the memory to implement the neural network, initializing, by the processing circuitry, a hyper-parameter used in the sub-networks, and training, by the processing circuitry, the sub-networks by using the hyper-parameter.

Abstract: Systems and methods include obtaining a set of events, each event in the set of events comprising a time-stamped portion of raw machine data, the raw machine data produced by one or more components within an information technology or security environment and reflects activity within the information technology or security environment. Thereafter, a first neural network is used to automatically identify variable text to extract as a field from the set of events. An indication of the variable text is provided as a field extraction recommendation, for example, to a user device for presentation to a user.

Abstract: A residual estimation with an I/O kernel (“RIO”) framework provides estimates of predictive uncertainty of neural networks, and reduces their point-prediction errors. The process captures neural network (“NN”) behavior by estimating their residuals with an I/O kernel using a modified Gaussian process (“GP”). RIO is applicable to real-world problems, and, by using a sparse GP approximation, scales well to large datasets. RIO can be applied directly to any pretrained NNs without modifications to model architecture or training pipeline.

Abstract: In one example, a neural network accelerator can execute a set of instructions to: load a first weight data element from a memory into a systolic array, the first weight data element having first coordinates; extract, from the instructions, information indicating a first subset of input data elements to be obtained from the memory, the first subset being based on a stride of a transposed convolution operation and second coordinates of first weight data element in a rotated array of weight data elements; based on the information, obtain the first subset of input data elements from the memory; load the first subset of input data elements into the systolic array; and control the systolic array to perform first computations based on the first weight data element and the first subset of input data elements to generate output data elements of an array of output data elements.

Abstract: Systems, methods and apparatus of implementing spiking neural networks. For example, an integrated circuit includes a crossbar array of first memristors connected between wordlines and bitlines. The first memristors are configured to convert voltages applied on the wordlines into currents in the bitlines. Second memristors having thresholds are connected to the bitlines respectively. Each respective memristor in the second memristors can reduce its resistance to cause spiking in a current flowing through the respective memristor, when the current reaches the threshold of the respective memristor. Current level detectors are connected to the second memristors to determine whether the currents in the bitlines have levels corresponding to reaching thresholds of the second memristors and thus, generate output spikes of spiking neurons without using analog-to-digital converters to measure the currents in the bitlines.

Abstract: Disclosed in a processor chip configured to perform neural network processing. The processor chip includes a memory, a first processor configured to perform neural network processing on a data stored in the memory, a second processor and a third processor, and the second processor is configured to transmit a control signal to the first processor and the third processor to cause the first processor and the third processor to perform an operation.

Abstract: Systems and methods related to hardware-assisted gradient optimization using streamed gradients are described. An example method in a system comprising a memory configured to store weights associated with a neural network model comprising L layers, where L is an integer greater than one, a gradient optimizer, and a plurality of workers is described. The method includes during a single burst cycle moving a first set of gradients, received from each of the plurality of workers, from at least one gradient buffer to the gradient optimizer and moving weights from at least one buffer, coupled to the memory, to the gradient optimizer. The method further includes during the single burst cycle writing back the new weights, calculated by the gradient optimizer, to the memory. The method further includes during the single burst cycle transmitting the new weights, from the gradient optimizer, to each of the plurality of workers.

Abstract: Apparatuses and methods can be related to implementing a Bayesian neural network in a memory. A Bayesian neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the Bayesian neural network and perform operations consistent with the Bayesian neural network.