Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model, including receiving constraints, encoding genotype information in experimental data points corresponding to the constraints experiential genotype vectors, the experimental data points comprising the genotype information and phenotype information corresponding to the genotype information, training a phenotype prediction model based on the experiential genotype vectors, the corresponding phenotype information, and the one or more constraints, applying the phenotype prediction model to available genotypes corresponding to the constrains to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating, a result based on the result genotypes, the result indicating one or more genetic constructs for testing.

Abstract: A system collects handles of entities registered to post content on online platforms and stores the handles on a blockchain network. The stored handles can mitigate the effects of being deplatformed from the online platforms. In one example, the system registers global identifiers that each uniquely identify an entity. The system receives and indexes handles of various online platforms based on the global identifiers. The indexed handles that are stored on the blockchain network can be searched by followers of a deplatformed entity for an alternative online platform on which the deplatformed entity posts content.

Abstract: Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.

Abstract: Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse.

Abstract: User permissions for a search on content managed by a content management system (CMS) can be evaluated in a search engine based on a user identity of a user providing a query input for the query rather than after return of an initial results set to the CMS or some other front-end application. The search engine can constrain possible results returned from a search for the query input using a content index of a plurality of content items maintained in a repository of the content management system. The constraining can include limiting the search engine from adding a content item of the plurality of content items to a permissions-filtered results set unless the evaluating of the user permissions and the search for the query input against the content index do not exclude the content item. Other aspects can support index updating by selective use of a metadata index.

Abstract: A method for checking a processing of payload data. The method includes: ascertaining, for each one of multiple sequences of data processing blocks, reference result data that result when predetermined meta data are processed by the sequence of the data processing blocks; receiving payload data result data and meta data result data for a data processing of the payload data and of the meta data; checking whether the meta data result data for at least one sequence of the sequences admissible for the data processing of the payload data agree with reference result data ascertained for the sequence; and triggering a safety measure if the meta data result data for no sequence of the sequences admissible for the data processing agree with the reference result data ascertained for the sequence.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for governing phenotypic outcomes in plants. One method includes obtaining a model input comprising time series data, wherein the time series data comprises, for each previous time point of one or more previous time points, at least one of i) first multi-omics data corresponding to a plant at the previous time point, or ii) phenotypic data corresponding to the plant at the previous time point; and processing the model input using a machine learning model to obtain a model output that comprises, for each future time point of one or more of future time points, a prediction of at least one of i) a phenotype of the plant at the future time point, or ii) second multi-omics data corresponding to the plant at the future time point.

Abstract: Comprehensive matching allows for automated conversion from runtime policy rules to build time rules that can be applied to an IaC configuration file(s). API specifications of a CSP and resource models defined in an IaC configuration file(s) are parsed and tokenized. The tokenized API specifications are evaluated to identify, for each resource model, a most appropriate API specification for mapping fields. Based on the evaluation and token matching, tokens of the API specifications are mapped to the tokens of the IaC resource models to form a mapping model. In an implementation phase, a runtime policy rule converter replaces tokens of a runtime security policy rule query with IaC tokens based on the mapping index to convert the runtime security policy rule query into a buildtime security policy rule query that can be applied against the IaC configuration files.

Abstract: Methods, systems, and computer readable media related to generating a combined search query based on search parameters of a current search query of a user and search parameters of one or more previously submitted search quer(ies) of the user that are determined to be of the same line of inquiry as the current search query. Two or more search queries may be determined to share a line of inquiry when it is determined that they are within a threshold level of semantic similarity to one another. Once a shared line of inquiry has been identified and a combined search query generated, users may interact with the search parameters and/or the search results to update the search parameters of the combined search query.

Abstract: Errors in big datasets can be automatically detected and output in an interactive graphical user interface (GUI) according to some examples described herein. In one such example, a system includes processing nodes for receiving processing tasks associated with analyzing a dataset (e.g., a big dataset). In response to receiving the processing tasks, the processing nodes can each execute a data-processing module to analyze entries in the dataset based on a predefined set of rules to determine if the entries include one or more types of errors. The data-processing module can then generate processing results indicating whether the entries include at least one type of error. The system can further include a GUI module that is executable to generate a GUI based on the processing results, where the GUI can provide insights about the types of errors present in the dataset for use in resolving said errors.

Abstract: A computer-implemented method includes determining a set of identigens for each word of patent claim elements to produce sets of identigens and interpreting pairs of adjacent identigens of adjacent sets of identigens to determine a most likely meaning of the claim elements and produce a claim entigen group. The method further includes determining a level of match between the claim entigen group and a comparison matter entigen group. When the level of match between the claim entigen group and the comparison matter entigen group is greater than a threshold level, the method further includes indicating potential utilization of the claim by the comparison matter or potential prior art status of the comparison matter.

Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model, training a phenotype prediction model based on experiential genotype vectors, training a genotype generation model based on sample genotype vectors, generating new genotype vectors, applying the phenotype prediction model to the new genotype vectors to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating a result based on the result genotypes, the result indicating one or more genetic constructs for testing.

Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

Abstract: The present disclosure provides a method, system, and device for security object synchronization at multiple nodes of an active-active environment. To illustrate, a source node may generate a corresponding security object sync request for each of multiple target nodes. The source node may send the security object sync request to the target nodes via a source queue and, for each target node, a corresponding distribution queue. A distribution queue may be closed based on an acknowledgement received from a corresponding target node, after a time period, or after a number of transmission attempts. A synchronization log may be maintained to indicate which security object sync requests have been delivered to which target nodes. In some implementations, the source node and the target nodes are part of an active-active environment that may be synchronized in time so the nodes resolve conflicts between received security object updates initiated from two different nodes.

Abstract: A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.

Abstract: A method for use in a computing device, the method comprising: detecting a first command to copy data to a remote system, the first command including a scatter-gather list (SGL) that identifies the data that is desired to be copied, the SGL including a plurality of entries that identify a plurality of memory regions, each of the plurality of entries identifying a different one of the plurality of memory regions; generating metadata for the SGL, for each of the data blocks in the plurality of memory regions, wherein the metadata identifies at least one of: (i) a location where a respective integrity field for the data block is stored, and (ii) a respective integrity operation that is required to be performed on the data block; registering the plurality of entries and the metadata under a key; generating a command capsule that includes the key; and transmitting the command capsule.

Abstract: A system facilitates a process for automatically generating artificial intelligence (AI) models. The system receives a first natural language input from a user that includes a set of phrases and an instruction to analyze data associated with the set of phrases using an AI model. The system accesses a metadata graph to determine a node corresponding to the set of phrases, where nodes in the metadata graph indicate internal data objects stored in data silos. The system processes the internal data objects indicated by the determined node to generate a first set of application data. The AI model is applied to the first set of application data to generate one or more outputs. Additional user inputs can be received to modify the first set of application data and apply the AI model to the modified data, until a desired data pipeline for the model has been constructed.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize intelligent contextual bias weights for informing keyphrase relevance models to extract keyphrases. For example, the disclosed systems generate a graph from a digital document by mapping words from the digital document to nodes of the graph. In addition, the disclosed systems determine named entity bias weights for the nodes of the graph utilizing frequencies with which the words corresponding to the nodes appear within named entities identified from the digital document. Moreover, the disclosed systems generate a keyphrase summary for the digital document utilizing the graph and a machine learning model biased according to the named entity bias weights for the nodes of the graph.

Abstract: Disclosed embodiments relate to systems, methods, and computer readable storage media for performing dataset discovery. Some embodiments may include accessing a data repository having a plurality of tables having cell values arranged in one or more columns and one or more rows, generating serialized sequences of the cell values that correspond to particular columns of the plurality of tables, inputting the serialized sequences into a natural language model, converting, using the natural language model, the serialized sequences into contextualized embeddings associated with the plurality of tables, storing the contextualized embeddings associated with the plurality of tables in one or more vector indices, receiving a query table, or generating an output of one or more candidate tables from the plurality of tables that are unionable with the received query table.