Abstract: Techniques are disclosed relating to probabilistic data structures. A database node may maintaining a probabilistic data structure capable of encoding database keys. The probabilistic data structure may include a plurality of levels that are each capable of storing an indication of a transition between successive characters in a database key. The database node may insert a particular database key into the probabilistic data structure and the particular database key may comprise a series of characters. The inserting may include setting, for each transition between successive characters of the series of characters, an indication in a corresponding level of the plurality of levels that is indicative of that transition. The database node may further maintain lineage information specifying one or more lineages that correspond to the transition.

Abstract: Approaches for cross-lingual regularization for multilingual generalization include a method for training a natural language processing (NLP) deep learning module. The method includes accessing a first dataset having a first training data entry, the first training data entry including one or more natural language input text strings in a first language; translating at least one of the one or more natural language input text strings of the first training data entry from the first language to a second language; creating a second training data entry by starting with the first training data entry and substituting the at least one of the natural language input text strings in the first language with the translation of the at least one of the natural language input text strings in the second language; adding the second training data entry to a second dataset; and training the deep learning module using the second dataset.

Abstract: Some embodiments of the current disclosure disclose methods and systems for batch active learning using the Shapley values of data points. In some embodiments, Shapley values of a first subset of labeled data are used to measure the contributions of the first subset of data to the performance of neural network. Further, a regression model that correlates the first subset of data to their Shapley values is trained to predict the Shapley values of a second subset of data that are unlabeled. A portion of the second subset of data may then be selected for labeling based on the predicted Shapley values.

Abstract: An automatic speech recognition (ASR) system that determines a textual representation of a word from a word spoken in a natural language is provided. The ASR system uses an acoustic model, a language model, and a decoder. When the ASR system receives a spoken word, the acoustic model generates word candidates for the spoken word. The language model determines an n-gram score for each word candidate. The n-gram score includes a base score and a bias score. The bias score is based on a logarithmic probability of the word candidate, where the logarithmic probability is derived using a class-based language model where the words are clustered into non-overlapping clusters according to word statistics. The decoder decodes a textual representation of the spoken word from the word candidates and the corresponding n-gram score for each word candidate.

Abstract: Embodiments of the invention identify entities stored within or across a number of data stores and identify relationships between the entities. A relationships graph is generated that represents the entities and the identified relationships between entities, the relationships graph comprising nodes in the relationships graph to represent one or more entities and edges between any two nodes in the relationships graph to represent the identified relationships between the one or more entities represented by each of the two nodes. The relationships graph is stored in a graph store. A graph query is received against selected nodes and edges in the graph store. One or more data store queries are generated therefrom, to be executed against respective selected ones of the one or more entities and their respective identified relationships based on the graph query and the graph store. The one or more data store queries are applied to selected one or more of the number of data stores.

Abstract: Disclosed herein are system, method, and device embodiments for enriching the capabilities of an API management product by deploying an augmented circuit breaker policy at an API gateway to automate regression analysis. Based on the augmented circuit breaker policy, the API gateway may perform curative remedies when a triggering condition occurs, e.g. rolling back the software release or alerting administrators. In one use case, the augmented circuit break policy may mitigate the damage of a faulty software release by programmatically directing all requests received at the API gateway to a stable version of the API. The benefits may be extended by using machine learning to train normality models on the typical behavior of a particular API. A user may then configure an augmented circuit breaker policy to perform a programmatic rollback when the API gateway recognizes conditions that diverge from normal behavior.

Abstract: Medium, method and system for ad hoc, ambient, synchronous multimedia collaboration in a group-based communication system. Embodiments of the invention provide a way for users to quickly establish a real-time collaboration among a group of peers without the burden and overhead of a conventional call or video meeting. Users can quickly and easily join and leave these synchronous multimedia collaboration sessions at any time, without disrupting the session for other users. This enables the user to experience the collaboration as a convenient forum rather than a burdensome scheduled event.

Abstract: Systems, methods, and apparatuses for implementing licensing and provisioning software products within a cloud based computing environment. An exemplary system having at least a processor and a memory therein includes logic for receiving user input defining a plurality of features of a software product, creating a license definition of the software product based on one or more of the plurality of software product features, storing the license definition into a software application depot hosted by a cloud computing service provider, publishing a record for the license definition in a selected management organization for the cloud computing service provider, the record providing a reference to the license definition and an owner thereof, and assigning and linking a stock keeping unit (SKU) to the license definition to make the software product available for purchase.

Abstract: Approaches for the translation of structured text include an embedding module for encoding and embedding source text in a first language, an encoder for encoding output of the embedding module, a decoder for iteratively decoding output of the encoder based on generated tokens in translated text from previous iterations, a beam module for constraining output of the decoder with respect to possible embedded tags to include in the translated text for a current iteration using a beam search, and a layer for selecting a token to be included in the translated text for the current iteration. The translated text is in a second language different from the first language. In some embodiments, the approach further includes scoring and pointer modules for selecting the token based on the output of the beam module or copied from the source text or reference text from a training pair best matching the source text.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred feature type. An embodiment operates by maintaining user-presented features associated with user-presented records, wherein the user-presented features comprise one or more user-presented feature types. After receiving a user-desired feature of the user-presented features, a user-preferred feature type of the user-presented feature types is determined based on the user-presented features and the user-desired feature. Thereafter, a new record and associated feature are to be presented with the new feature being of the user-preferred type.

Abstract: Techniques are disclosed relating to a database system includes worker nodes operable to perform transactions and director nodes operable to ensure transactional consistency for the transactions. A worker node may receive a request to perform a transaction involving writing a record. The worker node may then issue, to director nodes of the database system, a request for information that facilitates performance of an operation for the transaction. A director node may determine whether to approve the request based on whether the operation could cause transactional inconsistency in the database system. The worker node may proceed to perform the operation for the transaction in response to receiving approval responses from a majority of the director nodes, with none of the received responses indicating a disapproval of the transaction.

Abstract: Disclosed are some examples of systems, apparatus, methods and storage media for creating groups in a social networking database system, and more specifically, to creating groups based on network feed items. In some implementations, a database system is capable of maintaining a database including data associated with a plurality of users and groups to which the users can be subscribed. The system is configurable to provide a feed for display to a first user, and to receive input entered in a publication field by the first user. The system is configurable to create a feed item for display to the first user and to at least one second user based on the received input. The system is configurable to receive second input associated with the feed item from the second user. The system is additionally configurable to provide a selectable user interface (UI) element for display to the first user.

Abstract: A method of asset verification implemented by a computing device as part of an asset verification system. The asset verification utilizes unique identifying information of the asset. The method collects asset information from a user, collects asset information from the computing device, generates a unique identifier from the asset information, adds the unique identifier and the asset information to a blockchain, and stores the asset information in a distributed storage system.

Abstract: Systems, methods, and apparatuses for implementing user access controls in a metadata driven blockchain operating via Distributed Ledger Technology (DLT) using granular access objects and ALFA/XACML visibility rules in conjunction with a cloud based computing environment.

Abstract: A user interface comprising at least a set of reaction icons configured to initiate a search of content of a communication platform is described. In an example, at least the set of reaction icons can be presented via the user interface of the communication platform, wherein individual reaction icons of the set of reaction icons are selectable as search parameters in the user interface. In response to receiving a selection of at least one reaction icon, a search for content, associated with the at least one reaction icon, stored in a database associated with the communication platform can be initiated.

Abstract: In accordance with embodiments disclosed herein, there are provided mechanisms and methods for automating deployment of applications in a multi-tenant database environment. For example, in one embodiment, mechanisms include managing a plurality of machines operating as a machine farm within a datacenter by executing an agent provisioning script at a control hub, instructing the plurality of machines to download and instantiate a lightweight agent; pushing a plurality of URL (Uniform Resource Locator) references from the control hub to the instantiated lightweight agent on each of the plurality of machines specifying one or more applications to be provisioned and one or more dependencies for each of the applications; and loading, via the lightweight agent at each of the plurality of machines, the one or more applications and the one or more dependencies for each of the one or more applications into memory of each respective machine.

Abstract: Exemplary systems, methods, and apparatuses implement a declarative and metadata driven blockchain platform using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. The exemplary system operates a blockchain interface to the blockchain; receives inputs declaring a new application, network participants for the new application, access rights to the new application, as well as entity types and field definitions for the new application. The system further generates a blockchain asset having encoded therein as the defined metadata for the new application, at least (i) the plurality of network participants declared, (ii) the plurality of entity types declared, and (iii) the one or more new field definitions declared for each of the plurality of entity types; and transacts the blockchain asset having onto the blockchain.

Abstract: There is provided a computer implemented method of allocating processing resources for processing by processing nodes, comprising: training predictive models, each predictive model for a respective processing node, each predictive model trained on a training dataset comprising records, each record including a historical amount of processing resources allocated to the respective processing node and a ground truth label indicating historical processing outcomes, wherein each processing node exhibits diminishing returns of processing outcomes with increasing allocated processing resources, wherein each predictive model is implemented as a monotonically increasing function that reaches a saturation level, solving an optimization allocation problem using the predictive models to identify a respective amount of processing resources for allocation to each processing node that maximizes a total of processing outcomes for a predetermined total amount of processing resources, and generating instructions for allocation

Abstract: Media, methods, and systems are disclosed for managing focus for an application having a plurality of application user interface components. Initially, a first user interface component receives a first keystroke. Responsive to receiving the first keystroke, the application transitions from a default or pointing device navigation mode to a managed or keyboard navigation mode. The first user interface component receives a second keystroke, and responsive thereto invokes an application focus manager to set a destination user interface component identifier. Next, a second user interface component associated with the destination user interface component identifier compares the destination user interface component identifier to its own component identifier. Finally, the second user interface component claims keyboard input focus in the application.

Abstract: A designated smart contract representation may be determined based on configuration information provided by a first database system account. The designated smart contract representation may include a binary executable representation of a smart contract template. Access to the designated smart contract representation may be provided via an application exchange in an database system. The database system may provide computing services to a plurality of entities via the internet. The plurality of entities may include a first entity associated with the first database system account and a second entity associated with a second database system account. The application exchange may provide access to a plurality of smart contract representations including the designated smart contract representation. A selection of the designated smart contract representation may be received in association with the second database system account. The binary executable representation may be deployed to a blockchain.

Abstract: A device may provision two or more servers, each of the servers including a network interface. In addition, the device may enable the network interface in each of the provisioned servers, create a shared volume, assign the shared volume to each of the provisioned servers, and enable a clustering application on each of the provisioned servers to form a cluster comprising the provisioned servers, the cluster having a heartbeat via the network interfaces.

Abstract: A database system account in a database system may be authenticated as owning a smart contract deployed to a blockchain. Blockchain information related to the smart contract may be received from the blockchain. The blockchain information may identify one or more tokens minted by the smart contract and/or one or more wallets in which the one or more tokens are stored. A plurality of records created based on the blockchain information may be stored in the database system. The plurality of records may include a first record representing the smart contract and a second one or more records representing the one or more tokens.

Abstract: A plurality of metadata entries may be sent from a database system to a distributed storage system via a communication interface. The metadata entries may correspond with a respective plurality of metadata identifiers. A first function in a smart contract deployed on a blockchain may be executed to mint a designated non-fungible token initially owned by a first blockchain party corresponding with a database system account. A first transaction transferring the designated non-fungible token to a second blockchain party different from the first blockchain party may be identified. A second function in the smart contract may be executed to record a second transaction updating an attribute value associated with the designated non-fungible token to include a designated one of the plurality of metadata identifiers corresponding with a designated one of the metadata entries.

Abstract: An instruction may be transmitted from a database system to a blockchain via a communication interface to deploy a smart contract to the blockchain. The smart contract may include a token transfer redemption policy identifying a designated recipient. A first blockchain transaction transferring a first quantity of a first token minted via the smart contract from a first blockchain party to a second blockchain party may be identified. The first blockchain transaction may involve the transfer of a second quantity of a second token from the second blockchain party to the first blockchain party. A third quantity of the second token may be transmitted to the designated recipient. The third quantity may be determined based on the token transfer redemption policy and the second quantity of the second token.

Abstract: An estimated environmental impact profile may be determined based on a smart contract deployment configuration, which may identify an estimated number of first tokens to be minted via a smart contract instance based on a smart contract template and deployed to a blockchain. One or more instructions to perform a plurality of operations on the designated blockchain may be transmitted. The plurality of operations may include deploying the smart contract instance to the designated blockchain and minting a first number of first tokens via the smart contract instance. The estimated environmental impact profile may be updated based on the one or more operations. An instruction to transfer a second number of second tokens to a recipient may be transmitted. The second number may be selected based on the estimated environmental impact profile to offset an environmental impact associated with the smart contract instance.

Abstract: Implementations retrieve a first event that published to a first source of events responsive to updating, deleting, or inserting a first record in a database object that stores records relating to consent. The first event is processed. Processing the first event includes storing in an attribute of a second event an identifier for a second record that relates to the first record and that is in a second database object that stores records relating to consent. If the first record was inserted or updated, processing the first event includes storing in an attribute of the second event one or more identifiers and respective values of fields of the first record based on attributes of the first event.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. The embeddings may additionally or alternatively be used to determine a degree of alignment.

Abstract: Methods, systems, and devices supporting web browser tab navigation are described. A device (e.g., a user device) may initiate, via a web browser and in a first tab of a set of tabs of the web browser, a video conference session of a video conference application. The device may render a visual component in a user interface of the video conference session that indicates enablement of tab navigation functionality for the video conference application. In some examples, enablement of the tab navigation functionality may be based on an extension being installed in the web browser. The device may then receive an input via the visual component to visually distinguish the first tab for a duration of the video conference session, and cause for display a visual marker associated with the first tab for the duration of the video conference session based on receiving the input.

Abstract: Media, system, and method for providing encryption key management to a channel within a group-based communication system. The contents of the channel is encrypted according to the encryption key management policy of the organization to which the author of the content belongs and is stored in a data store. Responsive to a revocation request from a first organization, the encryption keys associated with any content in the channel submitted by the authors of said first organization may be revoked from a second organization, such that users of the second organization no longer have access to the content.

Abstract: A database entry may be stored in a container in a database table corresponding with a partition key. The partition key may be determined by applying one or more partition rules to one or more data values associated with the database entry. The database entry may be an instance of one of a plurality of data object definitions associated with database entries in the database. Each of the data object definitions may identify a respective one or more data fields included within an instance of the data object definition.

Abstract: A request may be received to evacuate data from a database system associated with a designated computing pod that provides on-demand computing services to a plurality of entities via the internet. The data may include portions that each correspond with a respective one or more of the on-demand computing services. Data succession policies associated with the data may be identified, where each data succession policy corresponds with one of the data portions and identifies one or more constraints associated with evacuating the data portion. The data portions may be transmitted to recipient computing pods in accordance with the data succession policies, and removed from the database system.

Abstract: A request may be received to access a digital asset uniquely identified by an identifier within an on-demand database system configured to provide computing services to a plurality of entities via the internet. Ownership of the digital asset may be determined based on ownership of a designated smart contract recorded in a public trust ledger. A plurality of related smart contracts recorded in the public trust ledger may be identified. Each of the related smart contracts may be linked with the designated smart contract. Two or more of the smart contracts may each include a respective one or more non-fungible tokens related to the digital asset. A respective state for two or more of a plurality of modifiable values may be determined. Each of the modifiable values may be being stored within a respective one of the plurality of related smart contracts within the public trust ledger.

Abstract: Computer implemented method and a system for auto completion of text based on the context associated with the text. The computer implemented method includes steps of receiving input text, identifying a certain context associated with the input text from multiple predefined contexts, by feeding the input text into a context-prediction component of a machine learning model that predicts the certain context, selecting a certain context-specific component of the machine learning model from multiple context-specific components according to the identified certain context, feeding the input text into the selected context-specific component that outputs autocomplete text associated with the identified certain context. The context-specific components are each trained to generate autocompleted text associated with a respective context pre-defined for the respective context-specific component.

Abstract: According to some implementations, compliance assessment metrics in a subset of two or more compliance assessment metrics are combined to form a combined compliance assessment metric. Each compliance assessment metric in the subset reflects a level of compliance of a set of rules with a different type of data privacy and/or data security laws, regulations, and/or policy. The set of rules are to manage personal data in an organization instance of a customer of a cloud-based software provider capable of hosting the organization instance in one or more datacenters in a plurality of different geographic regions. An ability to move data from the organization instance from a first geographic region to a second geographic region is gated based on the combined compliance assessment metric. In addition, the combined compliance assessment metric is displayed as part of a data policy compliance service provided by the cloud-based software provider.

Abstract: A set of interfaces is described for implementing a blockchain network by a multi-tenant server, wherein the set of interfaces comprise an object mapping interface. The object mapping interface includes a set object function to designate a tenant object for use in the blockchain network based on an input object; a map function to map fields of the tenant object in a multi-tenant system managed by the multi-tenant server and fields of an exchange object used by the blockchain network based on an input set of field mappings; and a set owner function to set a tenant in the multi-tenant system as an owner of the mappings based on an input identifier.

Abstract: Techniques are disclosed in which a computer system implements schema changes for existing database objects by maintaining a logical name and a current physical name corresponding to an existing database object, where the logical name points to the current physical name. The system receives a schema change request specifying the logical name and format changes for the existing object. The system performs a schema change operation in response to the request, including: creating a new database object having a new physical name, copying and transforming data from the existing object to the new object according to the format changes, mirroring new writes directed to the logical name to both the existing and new objects, and causing the logical name to point to the new physical name instead of the current physical name after completing the copying. The system responds to subsequent queries, specifying the logical name, from the new object.

Abstract: An analytics system uses one or more machine-learned models to predict a hormone receptor status from a H&E stain image. The system partitions H&E stain images each into a plurality of non-overlapping image tiles. Bags of tiles are created through sampling of the image tiles. For each H&E stain image, the system generates a feature vector from a bag of tiles sampled from the partitioned image tiles. The analytics system trains one or more machine-learned models with training H&E stain images having a positive or negative receptor status. With the trained models, the analytics system predicts a hormone receptor status by applying a prediction model to the feature vector for a test H&E stain image.

Abstract: Exemplary systems, methods, and apparatuses implement a declarative, metadata driven, cryptographically verifiable multi-network (multi-tenant) shared ledger in conjunction with a cloud based computing environment.

Abstract: Described herein are systems, apparatus, methods and computer program products configured to provide tracking and/or status updates for on-site service personnel. Geofences may be utilized to provide for automated updates to a customer. Additionally, tracking links and other communications may be provided to the customer to allow for improved communications with on-site service personnel.

Abstract: A group-based communication platform is configured to ascertain the relatedness of various work objects shared among users of the group-based communication platform. Moreover, the group-based communication platform may further receive and process work objects originating from non-users of the group-based communication platform, thereby further expanding the utility of the determined relatedness between work objects. These work objects (or encrypted representations of these work objects) may be indexed and stored in association with the group-based communication platform, thereby enabling users to search for and retrieve work objects originating from a plurality of work object sources simultaneously, and based on various characteristics of those work objects and the determined interrelatedness between various work objects.

Abstract: Methods, systems, and devices for supporting security for private data inputs to artificial intelligence models are described. A device (e.g., an application server) may receive a request to run an artificial intelligence model. The device may run the artificial intelligence model on a public data set and an extended set of data that includes both the public data set and a private data set. The device may determine a first set of outcomes based on running the artificial intelligence model on the public data set and a second set of outcomes based on rerunning the model on the extended set of data. The device may then compare the two sets of outcomes to determine whether a private data value is identifiable based on the second set of outcomes. If a private data value is identifiable, the device may obfuscate the results prior to transmitting the results to the requestor.

Abstract: Systems and methods are provided for generating textual embeddings by tokenizing text data and generating vectors to be provided to a transformer system, where the textual embeddings are vector representations of semantic meanings of text that is part of the text data. The vectors may be averaged for every token of the generated textual embeddings and concatenating average output activations of two layers of the transformer system. Image embeddings may be generated with a convolutional neural network (CNN) from image data, wherein the image embeddings are vector representations of the images that are part of the image data. The textual embeddings and image embeddings may be combined to form combined embeddings to be provided to the transformer system.

Abstract: A method implemented by at least one server for pushing managed package upgrades comprises receiving a dependency graph from an operating entity via an API call that expresses relationships between a set of software packages. A subscriber set is ingested for subscribers of the software packages via an API call to the operating entity that owns the software packages. A per-subscriber dependency graph is constructed expressing relationships between the individual subscriber's delivery operations. The set of packages is delivered based on dependency order of the per-subscriber dependency graph, while applying one or more rules including: i) push schedule rules that allow the first operating entity to specify time-based gates for the deliveries; ii) subscriber exclusion rules that allow the operating entity to exclude specific subscribers; iii) rules for automatic retries of failed operations; and iv) rules to chunk the push upgrade operations.

Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for aggregating social network feed information including, for example, means for receiving user activity data from one or more social networks; parsing the user activity data to render a plurality of targeting parameters culled from the user activity data; matching one or more of the plurality of targeting parameters with advertising conditions for a social media campaign, wherein the advertising conditions of the social media campaign are contextually relevant to the one or more targeting parameters matched; recommending the social media campaign via a user interface; receiving authorization to launch the social media campaign via input received at the user interface or automatically launching the social media campaign based on pre-defined parameters; and deploying the social media campaign to one or many social media networks. Other related embodiments are disclosed.

Abstract: Methods, systems, and devices supporting primitive-based query generation are described. A database system may receive a natural language query associated with a subset of data sets stored at the database system, determine a set of tokens included in the natural language query, and label one or more tokens of the set of tokens with one or more primitives from a set of supported primitives associated with the subset of data sets. The database system may determine a set of higher order concepts corresponding to query operations, query conditions, or both based on the one or more labeled tokens. The database system may train a neural network to learn a grammatical structure of the natural language query and generate a database query for querying the database system based on the one or more labeled tokens, the set of higher order concepts, and the neural network.

Abstract: Disclosed herein are system, method, and device embodiments for implementing dynamic codeless logging in an integration platform system. An integration platform may provide a declaratively-configurable asset pre-configured to implement a logging functionality associated with a log point, package the declaratively-configurable asset within an integration application, and receive a selection of the log point associated with the declaratively-configurable asset. In addition, the integration application may generate log information corresponding to the log point based on the selection of the log point and the logging functionality. Further, the integration platform may present the log information within a graphical user interface.

Abstract: Media, system, and method for providing encryption key management to an automated workflow within a group-based communication system. The automated workflow is encrypted using an organization-specific encryption key and is stored in a data store. Responsive to a triggering event, the encrypted workflow is retrieved from the data store to be decrypted and a corresponding decryption key is retrieved from a key store. The decrypted workflow performs a series of steps responsive to determining that a trigger condition has been met. The steps may be associated with at least one of sending a form and sending a message to a user within the group-based communication system.

Abstract: Systems, methods, and apparatuses for implementing an SQL query and filter mechanism for blockchain stored data using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment include operating a blockchain interface to the blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain. The system receives input for adding a plurality of authorized network participants to a declared application, updates a blockchain asset on the blockchain containing metadata for the declared application, deploys an executable install package to each of the plurality of authorized network participants for the declared application, retrieves the metadata for the declared application from the blockchain, and displays GUIs specific to the declared application which are auto generated by the executable install package based on the retrieved metadata.