Abstract: A system is disclosed for multimedia multipoint real-time conferencing that includes a communication module to receive a request to share media content in a virtual room setting. The content may include an audio, a video, a text, or a HyperText Markup Language (HTML) code referencing a third-party resource. The system may further include a content encoder at the host website to create a data packet encapsulating the transport characteristics and the routing requirements and a multipoint router to share the content via the transport protocol in the real-time group conference associated with the users of the virtual room.

Abstract: Various embodiments are directed to an improved group-based communication apparatus that is configured to efficiently manage draft messaging communications in a group-based communication system. The group-based communication apparatus is configured to synchronize draft messaging communications, including creating, updating, deleting, and posting of such draft messaging communications, across multiple client devices and with a group-based communication repository. Utilizing draft message metadata associated with the draft messaging communications, the group-based communication apparatus is also configured to implement validation rules and conflict resolution procedures associated with draft messaging communications. Additionally, the group-based communication apparatus is configured to render a draft list icon or other visual indicia to a group-based communication interface to inform a user that there is a draft messaging communication associated with one or more of the group-based communication channels.

Abstract: A system, method, and computer-readable media for establishing a framework for managing application permissions in a group-based communication system. Upon receipt, from an application in a group-based communication system, of an attempt to access a target internet domain, an application manifest associated with the application is accessed. The manifest includes a list of approved internet domains previously approved by an administrator of the group-based communication system which the application may access. Following access of the manifest, it is determined whether the target internet domain is included in the list of approved internet domains. If the target internet domain is included in the list of approved internet domains, the application is allowed to access the target internet domain. If the target internet domain is not included in the list of one or more approved internet domains, access to the domain by the application is denied.

Abstract: A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card having a first data visualization and a first text card, adjacent to the first visualization card. The device receives, via the first text card, (i) text input from a user and (ii) user selection of a first user interface element for linking the first text card to the first visualization card. In accordance with the receiving, the device determines whether the text input includes a first expression having a first time span that intersects with a temporal domain of the first data visualization. In accordance with a determination that the text input includes the first expression, and in response to a first user interaction with a first region of the first text card that includes the first expression, the device visually emphasizes a first portion of the first data visualization, corresponding to the first time span.

Abstract: Embodiments described herein provide methods and systems for generating data samples with enhanced attribute values. Some embodiments of the disclosure disclose a deep neural network framework with an encoder, a decoder, and a latent space therebetween, that is configured to extrapolate beyond the attributes of samples in a training distribution to generate data samples with enhanced attribute values by learning the latent space using a combination of contrastive objective, smoothing objective, cycle consistency objective, and a reconstruction loss.

Abstract: Techniques are disclosed relating to implementing multiple index scans. A computer system may store a database table comprising fields and indexes corresponding to those fields. The computer system may receive a request to access records based on a Boolean expression that affects a selection of records from the database table and that comprises clauses, at least two of which are joined by an AND operation. The computer system may access the requested records. The accessing may include, for a given one of the at least two clauses, performing an index scan on an index that corresponds to the given clause to identify records that satisfy that clause. The computer system may update a hash table based on the identified records and then identify the requested records based on the hash table. The Boolean expression may include clauses joined by an OR operation that are processed using multiple index scans.

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A communication process flow management service that manages a communication process flow may receive an indication of a segment of entities from a second service that manages a data model for multiple entities. Based on an action of the communication process flow, the communication process flow management service may request schema of the data model or additional attribute data associated with the segment from the second service. The communication process flow management service may receive the schema or the additional attribute data and use it to determine a set of communications to be transmitted to one or more entities of the segment. The communication process flow management service may transmit the set of communications in accordance with the communication process flow.

Abstract: Embodiments described herein provide a method of evaluating a natural language processing model. The method includes receiving an evaluation dataset that may include a plurality of unit tests, the unit tests having: an input context, and a first candidate and a second candidate that are generated in response to the input context, where the first test candidate is associated with a first quality notation, and the second candidate is associated with a second quality notation. The method includes determining, via a model, a first likelihood of generating the first candidate and a second likelihood of generating the second candidate in response to the input context. The method also includes determining whether the first likelihood being greater than the second likelihood. The method also includes determining whether the first model passed the unit test, where the first quality notation indicates a higher quality candidate and the second quality notation indicate a lower quality candidate.

Abstract: Systems and methods for deploying services may include accessing configuration data associated with a service to be deployed, the configuration data generated independently of the service and configured to include environment-related data and infrastructure-related data, the environment-related data identifying at least versioning information associated with the service, and the infrastructure-related data identifying at least artifact repository information associated with the service; accessing data related to a packaged service from an artifact repository based on the artifact repository information, the packaged service generated by a package manager based on the service; updating the packaged service using the environment-related data to generate an updated packaged service; and causing the updated packaged service to be deployed to a deployment destination.

Abstract: Disclosed are systems, apparatus for tracking inbound email messages in association with database records. An outbound email message is automatically generated or updated to include a message identifier within one or more headers and within a body of the outbound email message. Subsequently, a first electronic mail message received via a network from a first client device is processed, where the first electronic message has one or more headers and a body. A first message identifier (ID) is obtained from the body and the first message ID is parsed such that an encrypted portion and one or more unencrypted portions are obtained. A secret key associated with the first electronic mail message is obtained and the first electronic mail message is authenticated using the secret key, the encrypted portion of the first message ID, and at least one unencrypted portion. The first electronic mail message is processed according to a result of authenticating the first electronic mail message.

Abstract: Techniques are disclosed relating to methods that include receiving, by a computer system in a multi-tenant database service, a stream of change event records for a database on a server. A given change event record may be indicative of a modification made to the database by one of a plurality of tenants. The methods may further include storing the received change event records in one or more buffers, and tracking, in a data structure separate from the one or more buffers. Information for ones of the stored change event records may include a corresponding order of reception and a particular tenant associated with a respective change event record. In response to receiving a query from a given tenant, the methods may include processing the query using the data structure to identify change event records associated with the given tenant.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes receiving a match query from a customer relationship management system that transmitted the match query responsive to a user using an interface to trigger an update of records in the customer relationship management system that were previously imported from the DAAS system, querying for records in the dataset that match records in the customer relationship management system previously imported from the DAAS system, the querying configured at run time according to metadata that identifies, for records in the dataset, a field to match on and a match threshold, and producing a match query result that includes records in the dataset to be imported to update records that were previously imported from the DAAS system.

Abstract: Methods, media, and systems are disclosed for adding new users to a channel in a group-based communication system. The system receives a request to add new users to a channel. The system adds a new user by classifying the new user's email address domain as internal or external. If the domain is internal, the first user is added to the channel as a member, and if the domain is external, the user is prompted for a type of access for the new user. If the new user's access type is guest, the new user is added to the channel as a guest. If the type of access is shared, the channel is shared with an organization associated with the domain, and the new user is added as a member of the channel that has been shared.

Abstract: A computer-implemented method for dual sequence inference using a neural network model includes generating a codependent representation based on a first input representation of a first sequence and a second input representation of a second sequence using an encoder of the neural network model and generating an inference based on the codependent representation using a decoder of the neural network model. The neural network model includes a plurality of model parameters learned according to a machine learning process. The encoder includes a plurality of coattention layers arranged sequentially, each coattention layer being configured to receive a pair of layer input representations and generate one or more summary representations, and an output layer configured to receive the one or more summary representations from a last layer among the plurality of coattention layers and generate the codependent representation.

Abstract: A computing device receives a natural language input specifying search terms directed to a dataset. The device parses the input into tokens and executes queries against a search index to retrieve a plurality of labeled trend events. Each labeled trend event has a respective chart identifier. The device determines a respective composite score for each labeled trend event and individually assigns each labeled trend event to a respective group. For each group, the device sorts the respective labeled trend events within the respective group according to respective composite scores, determines a respective final score for each group, and ranks the groups according to one or more determined final scores. The device retrieves data corresponding to a first subset of line charts having the respective chart identifiers of the ranked groups, generates the first subset of line charts, and displays one or more line charts of the first subset with annotation.

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: Embodiments described herein a code generation and understanding model that builds on a Transformer-based encoder-decoder framework. The code generation and understanding model is configured to derive generic representations for programming language (PL) and natural language (NL) in code domain via pre-training on unlabeled code corpus, and then to benefit many code-related downstream tasks with fine-tuning. Apart from the denoising sequence-to-sequence objectives widely adopted for pre-training on natural language, identifier tagging and prediction pre-training objective is adopted to enable the model to better leverage the crucial token type information from PL, which specifically are the identifiers assigned by developers.

Abstract: Artificial intelligence (AI) technology can be used process natural language statements to facilitate the automated generation of narratives about data sets that achieve a desired communication goal without any need for a user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in the narrative in a manner that will satisfy the desired communication goal.

Abstract: Implementation(s) for multi-factor network segmentation are described. A plurality of packets at a higher layer of a network stack is processed, where at least one packet of the plurality of packets was previously determined, as part of processing the at least one packet at lower layers of the network stack, to be authorized to be processed by the higher layer. Specifically, responsive to successful authentication of a cryptographic certificate received during the handshake process, a second service is identified from the cryptographic certificate. It is determined, based on a security policy, that the second service is authorized to access the first service. Responsive to the determination, a configuration is caused such that packets sent using the source address are now authorized to be processed by the higher layer.

Abstract: The present disclosure is related to automatically, based on contextual information and without needing explicit input from a user, modifying one or more settings associated with presenting a notification. In examples, settings may include automatically suspending notification presentation or automatically overriding a notification setting that suspends notification presentation. In addition, contextual information may include, among other things, information related to a computing device (e.g., device location or network signal strength), a rate of user interaction or engagement with an application (e.g., rate of information sharing, user reactions, etc.), and/or a calendar or schedule of a user. In examples, the contextual information may be analyzed (e.g., based on comparison to a threshold) to determine whether a condition is met, and based on the analysis, the one or more settings may be modified.