Abstract: A global optimum solution of a simulation parameter is derived using a shape simulator. A parameter deriving device includes a generating unit configured to generate a plurality of combinations of data indicating pre-processing shapes and data indicating post-processing shapes of substrates processed under a same processing condition, data indicating a pre-processing shape or a post-processing shape being different from data indicating a pre-processing shape or a post-processing shape included in another combination in the plurality of combinations, and a deriving unit configured to derive a value of a simulation parameter of a shape simulator that minimizes a sum of respective differences between data indicating predicted post-processing shapes and data indicating corresponding post-processing shapes, the predicted post-processing shapes being predicted by inputting the data indicating the pre-processing shapes included in the plurality of combinations into the shape simulator.

Abstract: Systems and methods for providing algorithm performance feedback to an algorithm developer is provided In some embodiments, an algorithm and a data set are receiving within a secure computing node. The data set is processed using the algorithm to generate an algorithm output. A raw performance model is generated by regression modeling the algorithm output. The raw performance model is then smoothed to generate a final performance model, which is then encrypted and routed to an algorithm developer for further analysis. The performance model models at least one of the algorithm's accuracy, F1 score accuracy, precision, recall, dice score, ROC (receiver operator characteristic) curve/area, log loss, Jaccard index, error, R2 or by some combination thereof. The regression modeling includes linear least squares, logistic regression, deep learning or some combination thereof.

Abstract: A coarse grid model with a plurality of grid cells in a plurality of layers is provided. Model data are provided for a reservoir region of interest, and a plurality of pressure values are determined for the grid cells corresponding to a wellbore and for those not corresponding to the wellbore. A flowrate is determined at the grid cells corresponding to the wellbore based on the pressure values and on a flowrate metric. The flowrate metric is a function of well index, a pressure quantity, and a mobility variable, where the mobility variable is a non-linear function of gas condensate saturation and pressure. Also determined is a subset of the grid cells not corresponding to the wellbore where a pressure value is less than dew pressure. A flowrate for the subset of the one or more grid cells is determined based on the pressure values and on the flowrate metric.

Abstract: The present invention relates to a three-dimensional acid fracturing method for carbonate reservoirs in long intervals, which sequentially comprises the following steps: S1: based on the distribution characteristics of porosity and permeability of the reservoir where the candidate well is located, the reservoirs are divided into Class I, Class II and Class III, and the required acid fracturing fracture density range ?ir of different types of reservoirs is determined according to the increase of production; S2: Determine the most economical fracture number Ne when the economic net present value NPV of candidate wells reaches the maximum in the fifth year based on interval length of different types of reservoirs in candidate wells and acid fracturing fracture density range ?ir determined by S1; S3: Determine the three-dimensional acid fracturing segmented fracture arrangement technology according to the completion mode of the candidate well and the most economical fracture number Ne determined by S2; S4: Based

Abstract: A method and system for migrating an existing ASIC design from one semiconductor fabrication process to another are disclosed herein. In some embodiments, a method for migrating the existing ASIC design comprises parsing the gate-level netlist one row at a time into one or more standard cells forming the ASIC design, forming a plurality of mapping tables having mapping rules for mapping the parsed one or more standard cells into equivalent target standard cells implemented in the second semiconductor fabrication process, mapping the parsed one or more standard cells into the equivalent target standard cells using the plurality of mapping tables, and generating a target gate-level netlist describing the ASIC design in terms of the equivalent target standard cells.

Abstract: Methods and systems of verifying a hardware design for a sorter are disclosed. The methods include generating a modified version of the hardware design of the sorter accepting extended inputs and performing formal verification comprising: implementing a constraint that the least significant bits of each input in a set of extended inputs represent a unique value; and formally verifying aspects of the modified version of the hardware design of the sorter for the set of extended inputs.

Abstract: An apparatus can include at least a controller, quantum hardware, and an interface. The controller can be configured to generate command signals. The quantum hardware can include at least a plurality of qubits. The interface can be connected to the controller and the quantum hardware, the interface being configured to control the quantum hardware based on the command signals to implement a quantum circuit configured to simulate a boundary operator that creates a mapping of boundaries of a given graph having nodes and edges. For example, the quantum circuit can be configured to simulate a boundary operator that creates a mapping of simplices of orders, e.g., of all orders, in a given simplicial complex. A method can include creating a boundary operator on a quantum computer, where a quantum circuit is built using Pauli spin operators.

Abstract: Systems or methods of the present disclosure may provide receiving configuration data corresponding to a circuit design for programmable logic circuitry. A first intellectual property (IP) block is configured using parameterization data of the configuration data. A stub model is generated for a second IP block using interconnect and register data of the configuration data. A chip-level model is generated that represents the circuit design based on the first IP block, the stub model, and memory map data of the configuration data. The chip-level model is consumable by a virtual platform simulator.

Abstract: A static timing analysis method and a static timing analysis system are provided. The static timing analysis methods includes: obtaining a standard cell library file for describing a plurality of standard cells; performing topology mapping on the standard cell library file to find out a target sequential cell from the standard cells, in which the sequential cell includes a logic gate, a selection circuit and a register circuit; executing a logic test process to find out a pin combination that has a mutual non-controllable relationship, and removing timing constraints related to the pin combination that are taken as redundant timing constraints from the standard cell library file, so as to generate an optimized standard library file; and perform a static timing analysis on a target circuit design according to the optimized standard cell library file.

Abstract: Systems and methods for simulating a semiconductor device, a method among includes; generating meshes associated with a simulated semiconductor device using a semiconductor device simulator, extracting nodes from information associated with the meshes, extracting edges connected between the nodes using information associated with the meshes, generating graph information in relation to the nodes and edges, applying the graph information to a graph neural network (GNN) learning model, and predicting change in the meshes in response to change in state information applied to the simulated semiconductor device using the GNN learning model.

Abstract: A semiconductor device is made by calculating a thermal resistance matrix for the semiconductor device. A plurality of maximum junction temperatures for the plurality of die of the semiconductor device is selected. A plurality of power envelope surfaces are calculated for the semiconductor device based on the thermal resistance matrix and the maximum junction temperatures. A plurality of powers is selected for the plurality of die. The plurality of powers are compared against the plurality of power envelope surfaces to determine a plurality of risk values.

Abstract: A multiplexer circuit includes first and second fins each extending in an X-axis direction. First, second, third and fourth gates extend in a Y-axis direction perpendicular to the X-axis direction and contact the first and second fins. The first, second, third and fourth gates are configured to receive first, second, third and fourth data signals, respectively. Fifth, sixth, seventh and eighth gates extend in the Y-axis direction and contact the first and second fins, the fifth, sixth, seventh and eighth gates, and are configured to receive the first, second, third and fourth select signals, respectively. An input logic circuit is configured to provide an output at an intermediate node. A ninth gate extends in the Y-axis direction and contacts the first and second fins. An output logic circuit is configured to provide a selected one of the first, second, third and fourth data signals at an output terminal.

Abstract: A layout generation method includes: determining a quantum device type; acquiring an original script corresponding to the quantum device type, wherein a device parameter is defined in the original script; acquiring a target value of the device parameter; assigning the target value to the device parameter to obtain a target script of a target quantum device corresponding to the quantum device type; and generating, based on the target script, a quantum chip layout including the target quantum device.

Abstract: A computer implemented method for a multi-layer integrated circuit routing tool connecting sources with nets to sinks in a hierarchical multi-layer integrated circuit design environment, the method including creating a cycle reach table containing a first set of information parameters for two dimensional nets per metal layer combination, creating a repeater reach table containing a second set of information parameters per constraint class, preparing a working list of nets, preparing a list of blocks larger than repeater reach dimensions, connecting a source pin to a sink pin on preassigned metal layers, by routing the net based on the given constraint class.

Abstract: Techniques for implementing selective scan insertion and verification that reduce production and verification time by enabling a test harness to insert and test scan chains are disclosed. Circuit nodes in a system model are selected and scan insertion is provided at the selected nodes. Selective scan insertion can be performed quickly and, in some implementations, automatedly to enable verification of correspondence of different system models or one or more system models and fabricated circuits. A request for manufacture may be generated including aspects of the system model to enable verification of a fabricated circuit in a similar or identical manner to those used to verify the system model.

Abstract: A system and method predicts performance of a circuit design by receiving circuit design training data and circuit design test data. The circuit design training data includes training nodes and training paths. The training paths connect the training nodes including circuit components. The circuit design test data includes a first test node and a second test node. Further, testing information is determined for the circuit components of each training path from the circuit design training data. A statistical representation of the circuit design test data is determined based on the testing information and the circuit design test data, and first test information for a test path connecting the first test node with the second test node is determined based on the statistical representation.

Abstract: Systems and methods for optimizing data flow in an integrated circuit includes creating a task graph based on transforming an optimized network graph for a neural network application, wherein creating the task graph includes: enumerating a plurality of distinct tasks based on a decomposition of each of a plurality of network operations of the optimized network graph; and allocating a data buffer to each of pairs of dependent tasks of the plurality of distinct tasks based on the decomposition of each of the plurality of network operations of the optimized network graph; encoding a token-informed task scheduler based on a composition of the task graph, wherein the encoding the token-informed task scheduler includes: programming the token-informed task scheduler to cause an execution of the plurality of distinct tasks based on identifying a state of a respective data buffer between each of the pairs of dependent tasks.

Abstract: A transistor characteristics simulation device uses a transistor equivalent circuit model, in which the transistor equivalent circuit model includes a trap equivalent circuit for modifying a level of a trap of a transistor by an electric field intensity, the trap equivalent circuit corresponding to a physical model of Poole-Frenkel effect.

Abstract: Methods, apparatus, and processor-readable storage media for automatically summarizing event-related data using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining text-based data and non-text-based data associated with at least one virtual event comprising one or more participants; generating a content-related summarization of one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a first set of one or more artificial intelligence techniques; generating a participant sentiment-related summarization associated with one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on one or more of the content-related summarization and the participant sentiment-related summarization.

Abstract: A document production system may construct a document from fragments based on a theme associated with the document. The theme may contain section(s), each section having an access control list (ACL) associated therewith. The ACL may specify role-based user group(s) and permission(s) for the role-based user group(s). The system may evaluate rules applicable to the document. At least one rule may pertain to the ACL(s). The evaluation may include, at least in part, utilizing user login information received over a network from a client device. In constructing the document, the system may assemble the document in accordance with the rules and utilizing the fragments and meta information that describes the document. The system may render the document thus assembled utilizing the ACL, generate a view of the document, and communicate the view of the document over the network to the client device for presentation on the client device.

Abstract: A pointer is set to a first code unit of an original string that encodes characters via code units within an encoding scheme. Whether the code unit of the original string referenced by the pointer is valid within the encoding scheme is determined. If the code unit referenced by the pointer is valid, one or more code units of the original string that encode a single character within the encoding scheme are processed, starting at the code unit referenced by the pointer. The one or more code units as have been processed are appended to a processed string. A single shadow unit indicating that the one or more code units that have been processed are valid is appended to a shadow array. The pointer is advanced to the code unit of the original string following the one or more code units.

Abstract: An example embodiment of the present disclosure includes a method for referencing a user in chat. The method includes joining a chat session having a chat window for displaying text messages shared between at least a first user and a second user, providing a text entry area to receive text messages from the first user, and receiving a reference special character and a character or character string corresponding to one or more names for at least one third user within the text entry area. The method also includes generating an interactive link to one of one or more names based on the reference special character and the character or character string associated with the reference special character and displaying the interactive link in the chat window, the interactive link providing access to user information associated with the at least one third user without notifying the at least one third user.

Abstract: Systems and methods for replacing a hyperlink to a referenced object with a smart link are disclosed. The method performed by a smart link management system includes receiving a content request for the hyperlink from a client device, the content request comprising a uniform resource locator (URL) of the referenced object, the URL indicating the location of the content; identifying a data source where the referenced object is located based on the URL; forwarding the content request to the data source; receiving metadata corresponding to the referenced object hosted by the data source; and forwarding the metadata to the client device for display on the client device in the form of a smart link, the smart link being a visual object including at least a portion of the metadata received from the data source.

Abstract: A method for adding dimensions to a visual representation is disclosed. In one embodiment, such a method obtains a data set containing data in a plurality of rows and columns (i.e., dimensions). The method divides the dimensions into a plurality of groups and determines a coordinate system for each group. For each row in the data set, the method determines data points for each group in the corresponding coordinate system. The method then connects the data points for each row with lines to create a visual representation for the data set. In certain embodiments, each group in the data set utilizes a two-dimensional coordinate system. In other embodiments, each group in the data set utilizes a three-dimensional coordinate system. In yet other embodiments, a mix of two-dimensional coordinate systems and three-dimensional coordinate systems are used. A corresponding system and computer program product are also disclosed.

Abstract: The embodiments disclose a method including providing a website interface within the customizable application builder with no code visualization tools for an application creation user, including a form builder for creating at least one form with at least one form element for receiving form input from an end user, each associated with a conditional rule builder, an auto portable document format mapping tool, a manual portable document format mapping tool and at least two dynamic portable document format mapping tools, wherein upon submission of the form, the auto portable document format mapping tool automatically generates a portable document format of the entire form, including the at least one form element and the form input from the end user and wherein the end user can interactively integrate the entire auto portable document format mapping tool automatically generated portable document format form into at least one 3rd party application platform and access data from all of the user's 3rd party applicatio

Abstract: A notetaking information handling system device comprising a processor, a memory device, and a touchscreen display device displaying a graphical user interface (GUI) of a software application for accepting digitized handwritten notes and receiving a digitized handwritten note in a first notetaking instance. The processor to record metadata relating to the first notetaking instance and execute code instructions of a notes auto-curating system to recognize and parse the digitized handwritten note and determine from the digitized handwritten note a smart symbol or a keyword within the note content of the digitized handwritten note.

Abstract: Methods and systems provide for real-time meeting notes within a communication session.

Abstract: Example embodiments facilitate augmenting a client-side worksheet of a spreadsheet with context information retrieved from non-direct ancestor worksheets of the client-side worksheet. A spreadsheet plug-in enables retrieval of the context information from a server system, e.g., cloud-based database, via one or more web services. In a specific embodiment, the context information represents one or more data dimensions, e.g., worksheet columns, retrieved via the server system form one or more remote databases and populated into one or more non-direct ancestor worksheets (e.g., grandparent worksheets, great grandparent worksheets, etc.). Then those data dimensions are displayed in the client-side descendant worksheet. The user can now efficiently edit the worksheet while viewing relevant context information in the worksheet.

Abstract: Systems and methods of the present disclosure enable database search. The systems and/or methods may include receiving a search query that includes an input document having text. Word embeddings are generated within the input document, where the word embeddings include vector representations of words in the text of the input document. An average input document word embedding vector is determined for the word embeddings of the input document. A set of stored documents is accessed, where each stored document includes a stored text has a particular average stored document word embedding vector. A similarity model is used to determine a similarity metric measuring the similarity between the input document and each stored document based on the average input document word embedding vector and the particular average stored document word embedding vector of each stored document.

Abstract: A method, computer program product, and system are provided. A first natural language text is received via a user interface. A generative pretrained transformer machine learning model processes the first natural language text and a context to identify a first intent. The processing is based in part on a syntax determined from a set of natural language completion paradigms. The generative transformer machine learning model maps the first set of parameters to a first query. The mapping is associated with a first confidence. The generative transformer machine learning model processes the first set of parameters and the first query to generate a set of execution steps. The processing is performed when the first confidence satisfies a threshold. The set of execution steps is parsed into a query object that is forwarded to a reporting service.

Abstract: A method and a system for filtering ill corpus are provided. The method includes following steps: acquiring a text corpus to be recognized, and preprocessing the text corpus to be recognized to obtain a basic text corpus; extracting entities in the basic text corpus, and performing matching search on the entities of the basic text corpus according to an ill-text knowledge graph to obtain a first recognition result; detecting and recognizing the basic text corpus according to a corpus recognition model to obtain a second recognition result; and filtering the text corpus to be recognized according to the first or/and the second recognition result, and updating the ill-text knowledge graph according to the second recognition result. With semantic network essence and strong correlation ability of knowledge graph technology, candidate ill entities can be obtained, thus facilitating filtering of obscure ill information in forms of pinyin, homophonic words and split words.

Abstract: A non-transitory computer-readable recording medium stores a generation program for causing a computer to execute processing including: generating a feature vector of each of a plurality of words based on document data that includes the plurality of words; and generating a feature vector of a compound word obtained by combining two or more words based on the generated feature vector of each of the plurality of words. The feature vector of each of the plurality of words and the feature vector of the compound word are used to predict a word that follows one word in the document data.

Abstract: Implementations set forth herein relate to providing selectable autofill suggestions, which correspond to application actions that are at least partially fulfilled using server command data—prior to a user selecting a particular selectable autofill suggestion. Proactively fulfilling command data in this way mitigates latency between user selection of a suggestion and fulfillment of a particular action. Initially, a partial input can be processed to generate autofill suggestions, which can be communicated to a server device for further processing. The autofill suggestions can also be rendered for selection at a touch display interface, thereby allowing a user to select one of the autofill suggestions. As command fulfillment data is provided by the server, the command fulfillment data can be available to a corresponding application(s) in order that any corresponding actions can be at least partially fulfilled prior to user selection.

Abstract: A method, a structure, and a computer system for OOD sentence detection in dialogue systems. The exemplary embodiments may include receiving, for a domain corresponding to a particular topic, one or more on-topic text inputs and one or more off-topic text inputs. The exemplary embodiments may further include encoding the one or more on-topic text inputs and the one or more off-topic text inputs into a latent space, as well as decoding the one or more on-topic text inputs and the one or more off-topic text inputs from the latent space. The exemplary embodiments may additionally include minimizing a reconstruction error between the encoded one or more on-topic text inputs and the decoded one or more on-topic text inputs, and maximizing a reconstruction error between the encoded one or more off-topic text inputs and the decoded one or more off-topic text inputs.

Abstract: An API response field classification service obtains API documentation published by a vendor and defined security policies and matches the response fields represented in the security policies to their descriptions in the API documentation. The service generates labelled training data that comprise the identified response field descriptions with labels indicating that their corresponding response field is security related. Additional labelled training data for security unrelated response fields comprises descriptions of response fields that are known not to be represented with any security policies. The service trains a text classifier on the labelled training data. The trained text classifier accepts inputs comprising descriptions of unknown response fields and outputs predicted classes indicating whether the corresponding response fields are predicted to be security related. Subsequent creation of security policies can be focused on these response fields predicted to be security related.

Abstract: The present invention extends to methods, systems, and computer program products for detecting online contextual evolution of linguistic terms. Within messaging sources, some users may actively attempt to (relatively quickly) shift the meaning of a word or term. Some users may attempt to perjorate a word or term to have a more toxic meaning. Other users may attempt to reappropriate a word or term to have a less toxic or even a positive meaning. Aspects of the invention identify shifts in implied meanings of words and/or phrases over time. As such, emerging forms of harassment can be identified more quickly. Aspects of the invention can utilize users' behavioral histories as well as messaging structures to improve confidence when identifying term evolution. Machine learning algorithms can be configured to identify term evolution reducing workload on human moderators.

Abstract: An intelligent virtual assistant (IVA) is deployed to place a call/chat to customer service on behalf of the customer, thus saving them time and frustration. The IVA contacts a destination entity over one or more channels, for example, chat, phone call, Application Programming Interface (API), or email, in order to complete open-ended task(s) requested by another computer. Before the IVA contacts the destination entity, a specific user profile is injected into an IVA dialog state. The IVA contacts the destination entity and answers customer service agent (CSA) questions by using the specific user profile inserted. The IVA then stores the task outcome for the user to review. If something prevents the task from succeeding, the IVA alerts the user that either it needs more information or the user may need to perform some action before the task can be completed, such as filling out, or emailing a form.

Abstract: Methods, systems, and computer-readable media for bi-modal generation of natural language (NL) and artificial neural network architectures (NA), with reference to an example implementation framework entitled “ArchGenBERT”. A model and method of training the model for bi-modal generation of NL and NA are described. The model trained for bi-modal generation of NL and NA can be deployed to perform a number of useful tasks to assist with designing, describing, translating, and modifying neural network architectures.

Abstract: Methods, systems, and computer-readable media for bi-modal understanding of natural language (NL) and artificial neural network architectures (NA), with reference to an example implementation framework entitled “ArchBERT”. A model and method of training the model for bi-modal understanding of NL and NA are described. The model trained in bi-modal understanding of NL and NA can be deployed to perform tasks such as processing NL to perform reasoning relating to NA, architectural question answering, architecture clone detection, bi-modal architecture clone detection, clone architecture search, and/or bi-modal clone architecture search.

Abstract: A method of training a part-of-speech (POS) tagging model includes: separating an input sentence into units of syllables to generate an input sequence; encoding, using at least one encoder included in a part-of-speech (POS) tagging model, the input sequence; generating, based on the encoded input sequence and using a first discriminator included in the POS tagging model, a POS tagging result; and generating, based on the encoded input sequence and using a second discriminator included in the POS tagging model, a spacing result.

Abstract: Embodiments of this specification provide for generating dialogue annotation data. A method includes: obtaining grammar that has been pre-generated in a target scenario, the grammar including a first phrase and a second phrase; the first phrase includes a first intent operation and a first variable of a first intent, where the first variable invokes other phrases. The second phrase assigns a value to the first variable and includes a property acquisition operation and a second variable of a second intent. Generating a target meaning representation of nested phrases for simulating a certain human-machine dialogue by invoking the first phrase and the second phrase in the grammar. Performing the first intent operations based on a property value corresponding to the first variable of the second variable assigned to the first variable.

Abstract: A computer-implemented method of Named Entity Recognition (NER) includes receiving an input, identifying a plurality of candidate entities corresponding to the input, assigning word embeddings to the input at an embedding layer, capturing sequential context of the word embeddings in an encoding layer to obtain encoded word embeddings, constructing an entity relation graph using global coreference relations and local dependency relations to obtain a coreference graph and a dependency graph, fusing the encoded word embeddings, coreference graph, and dependency graph, via a graphical neural network (GNN), to obtain updated word embeddings, and decoding the updated word embeddings via a decoding layer to obtain enriched entity predictions.

Abstract: Disclosed techniques relate to managing a dialogue between a user device and an autonomous agent. For instance, a computing device creates a discourse tree from a body of text that includes fragments. The discourse tree includes a root node, nonterminal nodes, and terminal nodes. Each nonterminal node represents a rhetorical relationship between two of the fragments and each terminal node is associated with one of the fragments. The computing device determines a main topic of the body of text from the discourse tree. The computing device provides the main topic to the user device, and in response, receives a user utterance. The computing device determines an intent from the user utterance and navigates the discourse tree to locate relevant information consistent with the intent.

Abstract: A computer-implemented method can comprise accessing a trained learning machine, evaluating, using the machine learning model, the transcript to output a first sentiment score related to the first party in the unique domain, accessing digital engagement data representing engagement of the first party with digital assets associated with the second party, evaluating the one or more sentiment score values and the digital engagement data to output a value indicative of a likelihood of the first party to take a particular action, and determining whether the value is above a threshold, and if so, automatically sending a notification to a computer device associated with the second party.

Abstract: A computing system identifies an incoming voice call from a user device to an agent device associated with the computing system. The computing system generates a transcription of the incoming voice call using one or more natural language processing techniques. The computing system extracts a problem description from the transcription. The problem description indicates a topic for the incoming voice call. A first machine learning model estimates a situation vector from the problem description. A second machine learning model identifies a pre-existing situation vector that closely matches the estimated situation vector. The computing system retrieves a situation description that corresponds to the identified pre-existing situation vector.

Abstract: Intelligent agents (IA) for automatically generating responses to content within a communication session (CS) are disclosed. An IA is trained to target the responses to a user and the user's context within the CS. An IA receives CS content that includes natural language expressions encoding users' conversations and determines content features based on natural language models. The content features indicate intended semantics of the expressions. The IA identifies likely-relevant content to the targeted user, to generate a response for. Identifying such content includes determining a relevance of the content based on content features, a context of the CS, a user-interest model, and a content-relevance model. Identifying the likely-relevant content to respond to is based on the determined relevance of the content and relevance thresholds. Various responses to the identified portions of the content are automatically generated and provided based on a natural language response-generation model targeted to the user.

Abstract: The present disclosure describes methods and systems for suggesting responses generated from an entity's own published information with links to the source of that generated response should provide a quality starting point that is already accurate and brand compliant or, if not, quickly editable to become so. The published information is ingested by the system, and a question/answer transformation process is applied against the ingested data using training language data that is tagged and categorized by intent to generate suggested responses. The suggested response may be presented in a user interface with a link to the URL which was used to construct the response. The suggested responses may be edited if needed.

Abstract: Systems, methods, and computer-readable storage media for receiving data at a computer system, wherein the data has a plurality of rows; receiving, from a user at the computer system, a description of a task associated with the data; receiving, from the user at the computer system, a plurality of example transformations; combining, via at least one processor of the computer system, the task description together with the plurality of example transformations and input and output labels, resulting in a prompt; executing, via the at least one processor, a machine learning model, wherein the prompt is an input to the machine learning model, and wherein output of the machine learning model comprises an algorithm for executing the task; and executing, via the at least one processor, the task on the data using the algorithm.

Abstract: Apparatuses, systems, and techniques are presented to process communications in a computing environment. In at least one embodiment, one or more neural networks are used to generate, based at least in part upon one or more communications received from one or more users of one or more applications, a textual description of one or more actions to be taken regarding a performance of the one or more applications.

Abstract: Provided is a embedding transformation method performed by at least one computing device. The method comprises obtaining a source-side embedding model, transforming source-side data into a first embedding vector through the source-side embedding model and transforming the first embedding vector into a second embedding vector located in a target-side embedding space through a transformation model.