Abstract: A model-based engineering system (MBSE) tool includes functionality for sharing an MBSE model with multiple outside vendors using multiple versions of the MBSE model. A restricted version of the MBSE model is managed by a model maker (or other user with access rights) inside of an organization includes all of the model's engineering elements. The engineering elements are tagged with metadata that is analyzed to determine which elements are shareable and which are unshareable outside of the organization. An unrestricted version of the MBSE model is then created, either directly from the restricted version or through an intermediary version (referred to as the “stripped version”), to include only shareable engineering elements. This unrestricted version may then be shared with the outside vendors, and changes made by either in the restricted or unrestricted versions may be incorporated in the other versions, providing a truly collaborative MBSE experience.

Abstract: A method for simulating laser machining of a material by a laser machining system comprising the following steps: providing a central unit with: information relating to the material to be machined: delta ?, threshold fluence, incubation coefficient S, complex refractive index n+ik, information about the laser processing system: information relating to a polarization, pulse energy EP, diameter of said machining laser beam at a focal point w, order of a Gaussian p, pulse repetition rate PRR n, wavelength; determining with said central unit on the basis of the information relating to said material to be machined and the laser machining system, a machining profile in two dimensions corresponding to the simulation of a machining of said material to be machined with said laser machining system.

Abstract: A simulation method related with the opening force of a front vehicle door after a vehicle frontal collision including: a first simulation step in which deformations of vehicle components which are caused in the vehicle frontal collision to affect the opening of the front door are calculated by simulation; and a second simulation step in which the opening force of the front door after the vehicle frontal collision is predicted by simulation; wherein the components which affect the opening of the front door include a design component and an interface component, the deformations of the design component and the interface component obtained in the first simulation step being used as initial geometric conditions of the design component and the interface component in the second simulation step.

Abstract: An optimization apparatus includes electronic circuits configured to perform calculating, for a plurality of annealing units to which respective states and respective, different temperatures are assigned, respective evaluation function values responsive to the respective states, and causing a transition in the states with probabilities responsive to the temperatures and the evaluation function values, exchanging the temperatures or the states between the plurality of annealing units with predetermined probabilities based on the temperatures and the evaluation function values, and changing a temperature of an annealing unit of interest, such that a probability of exchange between the annealing unit of interest and a first annealing unit situated next thereto on a lower temperature side in a sequence arranged in order of temperature approaches a probability of exchange between the annealing unit of interest and a second annealing unit situated next thereto on a higher temperature side in the sequence.

Abstract: Methods and systems of simulating a fluid. An outflow of the fluid is determined. An inflow of the fluid is determined. Determining a simulated fluid using the inflow and the outflow.

Abstract: Techniques for allocating hydrocarbon production include receiving a selection of a particular area identification (ID) of a plurality of area IDs stored on the server; determining based on the selected particular area ID, a plurality of hydrocarbon production values that include periodic area-level hydrocarbon production values associated with the particular area ID and a plurality of wells associated with the particular area ID; determining a decline curve model for the area-level hydrocarbon production values associated with the particular area ID; modeling the aggregated periodic well-level hydrocarbon production values with the determined decline curve model; and determining allocated well-level hydrocarbon production values based at least in part on the selected decline curve model to display at a client device.

Abstract: Systems and methods are provided herein for creating and building a model of a unique infrastructure, such as a parking structure. The model may be created through the identification of various triggers by a vehicle traversing the infrastructure. The triggers may include, for example, sensors or other devices capable of sensing the vehicle within the infrastructure. The triggers may also be information received from the vehicle itself. Based on the triggers, it may be inferred that various places exist throughout the infrastructure. For example, it may be inferred through two subsequent triggers that a place exists between the two triggers. The place may be added to the model of the infrastructure in between the two triggers. The model may continue to grow in this manner.

Abstract: A three-dimensional object model is divided into slices that are targeted for an additive manufacturing process operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes. For each of the slices, a thinning algorithm is applied to contours of the slice to form a meso-skeleton. Topological features of the thinned slice are reduced over a number of passes such that a portion of the meso-skeleton is reduced to a single pixel wide line. Based on the number of passes, a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes is determined. An adjusted slice is formed by sweeping the meso-skeleton with the slice-specific printable feature size. The adjusted slices are assembled into an object model which is used to create a manufactured object.

Abstract: A machine learning device includes: a training data acquisition unit configured to acquire multiple pieces of training data each including insulation resistances of a servomotor at the beginning and the end of a certain period and time-series data indicating conditions of the servomotor in the certain period; and a learning model generating unit configured to perform a supervised learning using the training data to thereby generate a learning model.

Abstract: A computer-implemented method includes receiving, by a processor, a physical design block and a physical hierarchy of a chip design of a chip. Further, the method includes extracting, by the processor, one or more features of a macro to be added to the chip design based on a logic synthesis of the chip design. Further, the method includes predicting, by the processor, specifications of the macro to be added to the chip design based on the physical design block, the predicting performed using a pre-trained machine learning model. Further, the method includes using, by the processor, the specifications of the macro to perform a physical synthesis of the chip design to determine a physical layout of the chip.

Abstract: Methods and systems are disclosed for optimizing compilation efforts for design debug based on formal analyses. The method includes accessing a circuit design, automatically determining a segment as being a design region of interest, identifying a behavior within the segment for performing at least one verification test, compiling the segment without compiling a remainder of the circuit design, and providing performance indicators corresponding to the behavior within the segment based on the segment as compiled.

Abstract: Certain aspects of the present disclosure provide techniques for testing integrated circuit designs based on test cases selected using machine learning models. An example method generally includes receiving a plurality of test cases for an integrated circuit. An embedding data set is generated from the plurality of test cases. A respective embedding for a respective test case of the plurality of test cases generally includes a mapping of the respective test case into a multidimensional space. A plurality of test case clusters is generated based on a clustering model and the embedding data set. A plurality of critical test cases for testing the integrated circuit is selected based on the plurality of test case clusters. The integrated circuit is timed based on the plurality of critical test cases and a hard macro defining the integrated circuit.

Abstract: A design method applied to a capacitor array is provided. The capacitor array includes multiple preset capacitor units, and each preset capacitor includes multiple unit capacitors. The method includes: acquiring unit simulation models of the preset capacitor units; acquiring a first simulation model of the capacitor array based on an arrangement manner of the preset capacitor units in the capacitor array and the unit simulation models of the preset capacitor unit; acquiring an arrangement direction of the preset capacitor units based on the arrangement manner, establishing a parasitic resistance equivalent test structure of a group of preset capacitor units in the same arrangement direction; obtaining a parasitic resistance of each preset capacitor unit based on the parasitic resistance equivalent test structure; and establishing a second simulation model representing the capacitor array based on the parasitic resistance of each preset capacitor unit and the first simulation model.

Abstract: A method and system for generating a physical layout for a grating coupler integrated in a photonically-enabled circuit are disclosed herein. In some embodiments, the method receives a parametrized wavelength, a parametrized first refractive index, a parametrized second refractive index, a parametrized taper length, a parametrized width, a parametrized grating length, and a parametrized incident angle of the optical beam incident onto the grating coupler and generates a physical layout for the grating coupler based on the received parametrized inputs, the generating of the physical layout is according to a predefined model, and outputs the physical layout of the grating coupler for manufacturing under a semiconductor fabrication process.

Abstract: Provided are a chip and a pin line-out design method therefor, which are applied to a BGA packaged chip. The method includes: according to pin position information and pin definition information of a chip, determining a number of circuit board layers required for pin line-out of the chip (S1); allocating line-out layers to pins of the chip in their respective circuit boards (S2); and according to a pin density and transmission line width requirement of the chip, determining a specification of a via hole in each circuit board for leading the pin of the chip out to the corresponding line-out layer, to perform a corresponding line-out design on the basis of the via hole (S3). It may be seen that the described unified pin line-out design for the BGA packaged chip is more refined, and the quality of the line-out design of the pins of the chip is ensured.

Abstract: A method includes: training a machine learning model with a plurality of electronic circuit placement layouts; predicting, by the machine learning model, fix rates of design rule check (DRC) violations of a new electronic circuit placement layout; identifying hard-to-fix (HTF) DRC violations among the DRC violations based on the fix rates of the DRC violations of the new electronic circuit placement layout; and fixing, by an engineering change order (ECO) tool, the DRC violations.

Abstract: A method of process technology assessment is provided. The method includes: defining a scope of the process technology assessment, the scope comprising an original process technology and a first process technology; modeling a first object in an integrated circuit into a resistance domain and a capacitance domain; generating a first resistance scaling factor and a first capacitance scaling factor based on the modeling, the original process technology, and the first process technology; and utilizing, by an electronic design automation (EDA) tool, the first resistance scaling factor and the first capacitance scaling factor for simulation of the integrated circuit.

Abstract: A method of displaying an electronic form on a mobile device comprises creating one or more repeatable items comprising a plurality of fields to be filled or displayed wherein one or more of the fields may include another one or more repeatable item. A method of displaying an electronic form on a mobile device having a screen and managed by an operating system comprises attaching a visual priority to one or more fields used in the electronic form; obtaining the current mobile device screen size; and adapting the number of fields to be displayed on the screen based on the screen size and on visual priority attached to one or more of the fields. In one implementation, a minimum width is set for each of the one or more fields, and the fields that can meet the minimum width based on the current mobile device screen size are displayed.

Abstract: Embodiments provide systems, methods, and computer storage media for text style suggestions and/or text emphasis suggestions. In an example embodiment, an electronic design application provides a text style suggestion tool that generates text style suggestions to stylize a selected text element based on the context of the design. A text emphasis tool allows a user to select a text element and generate text emphasis suggestions for which words should be emphasized with a different text styling. Various interaction elements allow the user to iterate through the suggestions. For example, a set of style suggestions may be mapped to successive rotational increments around a style wheel, and as the user rotates through the positions on the style wheel, a corresponding text style suggestion is previewed and/or applied.

Abstract: An information display method and apparatus, and a computer-readable storage medium and an electronic device. The method includes: determining a target font category to be written in response to an operation of a user on a display device page; determining a target font conversion model corresponding to the target font category in a model library, wherein the model library including font conversion models corresponding to a plurality of font categories; in response to a writing operation of the user on the display device page, determining a standard word corresponding to the writing operation according to a writing trajectory of the writing operation, and generating an initial bitmap corresponding to the standard word; and converting the initial bitmap of the standard word into a target bitmap corresponding to the target font category using the target font conversion model and displaying the target bitmap on the display device page.

Abstract: A computer-implemented method is described herein. The method can include identifying a fingerprint associated with a webpage. The fingerprint can be identified in response to a user loading a webpage that includes a job posting. An application programming interface (API) call to query an API can be generated based at least in part on the fingerprint. The API can be associated with a video content provider. The API can be queried to identify a video content to be added to the webpage based at least in part on the API call. The video content can be added automatically to a location on the webpage in response to receiving the video content and based at least in part on the fingerprint.

Abstract: A computing system may identify a first reference citation within a technical document, wherein the first reference citation is identified based at least in part a length of a first block of text that is included in the first reference citation and an inclusion of at least one numeric character in the first block of text. The computing system may determine, based on querying at least one datastore, whether the first reference citation matches a matching stored reference citation. The computing system may determine, based at least in part on whether the first reference citation matches the matching stored reference citation, an error review prioritization status for the first reference citation. The error review prioritization status may also be determined based, in part, on a specified revision number for the first reference citation. The computing system may provide visual feedback indicating the error review prioritization status.

Abstract: Systems, methods, and computer-readable media are disclosed for annotating configuration language function evaluation. One or more configuration language expressions may be received by a configuration language development environment. The one or more configuration language expressions may be parsed into one or more atomic configuration language expressions. Based on a particular route at the specified point of execution in an application, the one or more configuration language expressions may be evaluated. The annotations may be rendered to provide an explanation of an underlying control flow.

Abstract: Certain aspects of the disclosure pertain to inferring a candidate entity associated with a transaction with a machine learning model. An organization identifier and description associated with a transaction can be received as input. In response, an entity embedding, comprising a vector for each entity of an organization based on the organization identifier, can be retrieved from storage. A machine learning model can be invoked with the entity embedding and description. The machine learning model can be trained to infer a transaction embedding from the description and compute a similarity score between the transaction embedding and each vector of the entity embedding. A candidate entity with a similarity score satisfying a threshold can be identified and returned. The candidate entity with the highest similarity score can be identified in certain aspects.

Abstract: Systems and methods to facilitate a customization and proliferation of models are described. The system receives, via a first interface, table information and communicates the table information to a first model. The first model includes logic to process the values to generate a column of predicted values. The system receives a column of predicted values from the first model. The system appends the column of predicted values to the table information to generate appended table information. The system communicates, via a second interface, the appended table information to a second state including a second plurality of models. The sequence of states is associated with a plurality of interfaces including the first interface and the second interface. The interfaces facilitate a customization and proliferation of models.

Abstract: Methods, systems and computer program products for content management systems. A content management system is configured to manage a plurality of content objects. Unsupervised learning is performed over the plurality of content objects to identify document templates associated with content objects taken from the plurality of content objects. When a document template is identified, template metadata is associated with the document template. Additional content objects that are similar to the document template can take on the template metadata. In this way, many documents can be automatically populated with template metadata that corresponds to the identified document template. All or portions of the template metadata can be applied to policies, which policies serve to marshal ongoing document handling operations. During learning, document features are extracted and analyzed so as to define feature clusters, which feature clusters are in turn are used to form document template clusters.

Abstract: Described herein are exemplary devices, apparatuses, systems, methods, and non-transitory storage media for providing an application framework. The application framework can provide various machine-learning models to perform a variety of analysis tasks to analyze enterprise data such as communications between one or more employees of an organization and one or more clients of the organization and provide intelligence and insights for a user in the organization. The insights and intelligence can include a recommendation or an observation related to a client or customer of the organization. The recommendation or observation can be provided, for example, in a communication platform, a chatbot, or a variety of other interfaces. Advantageously, to perform an analysis task, the application framework automatically provides to the machine-learning model(s) information in accordance with the enterprise's data sharing and access control requirements to prevent inappropriate access and use of sensitive information.

Abstract: Systems may perform analyses of claims included in a patent document. The systems may generate one or more search strings from the patent document and provide the one or more search strings to a third-party searching authority. The third-party searching authority may return a collection of documents responsive to the one or more search strings. In particular situations, the systems may re-rank the documents of the collection to provide a patent centric ranking. The systems may also analyze the documents of the collection with respect to the elements of the claims to generate various types of patent infringement and/or invalidity reports.

Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).

Abstract: Embodiments of the present disclosure include systems and methods for packing tokens to train sequence models. In some embodiments, a plurality of datasets for training a sequence model is received. Each dataset in the plurality of datasets includes a sequence of correlated tokens. A set of training data is generated that includes a subset of a sequence of tokens from a first dataset in the plurality of datasets and a subset of a sequence of tokens from a second, different dataset in the plurality of datasets. The sequence model is trained using the set of training data.

Abstract: Techniques are described to determine whether an input utterance is unrelated to a set of skill bots associated with a master bot. In some embodiments, a system described herein includes a training system and a master bot. The training system trains a classifier of the master bot. The training includes accessing training utterances associated with the skill bots and generating training feature vectors from the training utterances. The training further includes generating multiple set representations of the training feature vectors, where each set representation corresponds to a subset of the training feature vectors, and configuring the classifier with the set representations. The master bot accesses an input utterance and generates an input feature vector. The master bot uses the classifier to compare the input feature vector to the multiple set representations so as to determine whether the input feature falls outside and, thus, cannot be handled by the skill bots.

Abstract: A computer-implemented method of processing language, includes: calculating a value indicating a degree of easiness of association between words with regard to one or more combinations of words in a first word group included in first text data and a second word group included in second text data; associating a first word and a second word based on the value indicating the degree of easiness of association; calculating a value indicating a degree of easiness of association between word groups with regard to a word group in the first text data including the first word and a word group in the second text data including the second word, using a result of the associating and the value indicating the degree of easiness of association between the words; and updating the value indicating the degree of easiness of association between the words by using the value indicating the degree of easiness of association between the word groups.

Abstract: A multi-modal pre-training model acquisition method, an electronic device and a storage medium, which relate to the fields of deep learning and natural language processing, are disclosed. The method may include: determining, for each image-text pair as training data, to-be-processed fine-grained semantic word in the text; masking the to-be-processed fine-grained semantic words; and training the multi-modal pre-training model using the training data with the fine-grained semantic words masked.

Abstract: Techniques for prevalence-volume based relevance are provided. Corresponding systems and methods may include ingesting a corpus of documents; receiving a search operator; segmenting the corpus of documents into (i) a first set of documents that matches the search operator, and (ii) a second set of documents that do not match the search operator; extracting a first and second token list of tokens; calculating a prevalence-volume value for tokens included in the first and second token lists; generating a prevalence-volume ratio (PVR) matrix that associates tokens included in the first and/or second token lists with a PVR value, wherein the PVR value for a particular token is a ratio between the prevalence-volume value of the particular token for the first set of documents and the prevalence-volume value of the particular token for the second set of documents; and associating the search operator with the generated PVR matrix.

Abstract: A method for text generation, relates to a field of natural language processing, including: obtaining corpus data; labeling the corpus data to obtain a first constraint element; obtaining a first generation target; and generating a first text matching the first generation target by inputting the corpus data and the first constraint element into a generation model.

Abstract: The present disclosure provides an event extraction method, an event extraction device and an electronic device, and it relates to the field of computer data processing, in particular to the field of knowledge graph. The event extraction method includes: acquiring text information; determining a plurality of pieces of question information ranked in a sequential order in accordance with the text information; and inputting vector information for each piece of question information into an extraction model in accordance with the sequential order to acquire extraction information for each piece of question information.

Abstract: Methods and systems are presented for analyzing feedback data associated with a content and generating an interactive graphical representation of the feedback data. Upon receiving a request from a user, a feedback analysis system may access feedback data associated with a content from a content hosting server. The feedback data may include comments submitted by viewers of the content. The feedback analysis system may analyze the comments and generate an interactive graphical representation of the feedback data. The interactive graphical representation may include icons that represents keywords that are relevant to the comments and sentiments of the viewers derived based on the comments. Upon receiving a selection of an icon, the feedback analysis system may present a comment that corresponds to the keyword and/or sentiment represented by the icon.

Abstract: Techniques for identifying one or more missing fragments within input text are disclosed. A discourse tree (DT) is generated for the input text (IT) received, the IT having any suitable number of sentence fragments. An indication that the IT is likely missing one or more sentence fragments may be identified based on determining that one or more rhetorical relationships of the DT matches one of a set of predefined rhetorical relationships. A query is generated one or more sentence fragments of the IT and executed against a knowledge base to obtain a set of search results. A most-relevance search result can be utilized to identify a set of candidate sentence fragments. A subset of those candidate sentence fragments can be identified based on comparing them to the sentence fragments provided in the IT, each candidate sentence fragment of the subset being implied but excluded from the IT.

Abstract: This disclosure enables various computing technologies for smart contracts to be audited in ways that improve on conventional auditing approaches mentioned above. These technologies improve functioning of computers by enabling large language models to review bytecodes executable on distributed ledgers to determine whether those bytecodes enable smart contracts on those distributed ledgers and then acting accordingly.

Abstract: A translation method is provided, including: encoding to-be-processed text information to obtain a source vector representation sequence, the to-be-processed text information belonging to a first language; obtaining a source context vector corresponding to a first instance according to the source vector representation sequence, the source context vector indicating to-be-processed source content in the to-be-processed text information at the first instance; determining a translation vector according to the source vector representation sequence and the source context vector; and decoding the translation vector and the source context vector, to obtain target information of the first instance, the target information belonging to a second language.

Abstract: Systems and methods for handling multilingual queries are provided. One example method includes receiving, at a computing device, an input, wherein the input comprises a multi-lingual query comprising at least a first source language and a second source language. The multi-lingual query is translated, word for word, into a destination language to produce a monolingual query, with the word order of the multilingual query and the word order of the monolingual query being the same. The monolingual query is processed using natural language processing to map the mono-lingual query to a natural language query in the destination language.

Abstract: A semiconductor memory device is provided, comprising: a memory cell region including a memory cell array; and a peripheral circuit region which at least partially overlaps the memory cell region and includes control logic configured to control operation of the memory cell array, wherein the control logic includes a state machine configured to output a plurality of state signals responsive to operation commands of the memory cell region, the plurality of state signals including a first state signal output from a first output terminal, and a second state signal output from a second output terminal different from the first output terminal, a logical sum calculator configured to perform a logical sum calculation based on at least one of the first state signal or the second state signal, and an accumulation circuit configured to receive an output of the logical sum calculator as a clock signal, and that outputs a toggle signal to one probing pad in response to the clock signal, the accumulation circuit being conn

Abstract: A method related to posit tensor processing can include receiving, by a plurality of multiply-accumulator (MAC) units coupled to one another, a plurality of universal number (unum) or posit bit strings organized in a matrix and to be used as operands in a plurality of respective recursive operations performed using the plurality of MAC units and performing, using the MAC units, the plurality of respective recursive operations. Iterations of the respective recursive operations are performed using at least one bit string that is a same bit string as was used in a preceding iteration of the respective recursive operations. The method can further include prior to receiving the plurality of unum or posit bit strings, performing an operation to organize the plurality of unum or posit bit strings to achieve a threshold bandwidth ratio, a threshold latency, or both during performance of the plurality of respective recursive operations.

Abstract: A circuit system includes a memory block and first and second processing circuits. The first and second processing circuits store a matrix in the memory block by concurrently writing elements in first and second rows or columns of the matrix to first and second regions of storage in the memory block, respectively. The first and second processing circuits transpose the matrix to generate a transposed matrix by concurrently reading elements in first and second rows or columns of the transposed matrix from third and fourth regions of storage in the memory block, respectively.

Abstract: A technique is described herein for assisting a user in editing a file. The technique involves producing current context information that includes an input message and selected file content. The input message describes a user's editing objective, while the selected file content describes a portion of the file to which the editing objective is to be applied. The technique then requests a pattern-completion engine to generate edit information based on the current context information. The edit information describes one or more changes to the selected file content that satisfy the objective of the user. The pattern-completion engine uses a machine-trained autoregressive text-completion model that is trained on revision history information. The model can be trained in a process that incorporates various tests to ensure that the edit information that is generated works as expected, satisfies various performance metrics, and fulfills the editing objectives of the user.

Abstract: A complier produces a configuration file to configure a fracturable data path of a configurable unit in a coarse-grained reconfigurable processor to concurrently generate different address sequences generated using different address associated with different operations. The fracturable data path includes multiple computation stages respectively including a pipeline register. The compiler analyzes a first address calculation and a second address calculation and assigns a first set of stages to the first operation to generate the first address sequence and a second set of stages to the second operation to generate the second address sequence using the second set of stages, based on the analysis. A configuration file for the configurable unit is generated by the compiler that assigns the first set of stages to the first operation and the second set of stages to the second operation and includes two or more immediate values for each computation stage.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for generating heterogenous platform code. The method may obtain a neural network model. The neural network model may be programed to run on at least one platform. The method may also obtain an initial intermediate representation (IR) code by encoding the neural network model, and obtain a target IR code by adding decorations to the initial IR code based on a target platform. The method may also output an executable code optimized to run on the target platform by decoding the target IR code.

Abstract: Systems and methods for configuration management through information and code injection at compile time. An example method comprises: receiving a source code comprising one or more references to a variable; receiving metadata associated with the source code, wherein the metadata specifies a range of values of the variable; and identifying, in view of the range of values of the variable, a reachable section of the source code.

Abstract: A system provides a framework/platform for development and distribution of solutions related to vehicles. A processor is configured to render a plurality of modules in at least one terminal device based on an access request. The plurality of modules is displayable on a display interface of the at least one terminal device. The processor is further configured to execute instructions generated from the plurality of modules for development of the solutions. The instructions are generated by a user of the at least one terminal device, which is in communication with a server. The plurality of modules is accessible through an input unit of the at least one terminal device, each of the plurality of modules is usable alone and in combination. The processor stores the developed solutions in the server for distribution.

Abstract: An embodiment of the present application discloses an information processing method, device and apparatus, a medium, and a program.