Abstract: A system for holding a network conferencing session may include a remote server and a presenter interface. The remote server may be configured to load a presentation material in a content renderer operated at the remote server and transmit video streams of the presentation material to remote client devices that are in the network conferencing session. The presenter interface may receive one of the video streams and display the presentation material based on data from the one of the video streams. The presenter interface may capture interactive events of a presenter directed at the presenter interface. The presenter interface may transmit the interactive events of the presenter to the remote server for remotely controlling the content renderer operating at the remote server using the interactive events directed at the presenter interface.

Abstract: In implementations of systems for stylizing digital content, a computing device receives digital content having a plurality of content entities. Classified content entities are generated by classifying the plurality of content entities using one or more machine-learning models. A determination is then made regarding correspondence of the classified content entities with visual styles of a digital template. Based on the determined correspondence, the plurality of content entities of the digital content are displayed as having the visual styles, respectively, of the digital template.

Abstract: In implementations of systems for stylizing digital content, a computing device implements a style system to receive input data describing digital content to be stylized based on visual styles of example content included in a digital template. The style system generates embeddings for content entities included in the digital content using a machine learning model. Classified content entities are determined based on the embeddings using the machine learning model. The style system generates an output digital template that includes portions of the digital content having the visual styles of example content included in the digital template based on the classified content entities.

Abstract: Systems and methods for natural language processing are described. Embodiments of the present disclosure receive plain text comprising a sequence of text entities; generate a sequence of entity embeddings based on the plain text, wherein each entity embedding in the sequence of entity embeddings is generated based on a text entity in the sequence of text entities; generate style information for the text entity based on the sequence of entity embeddings; and generate a document based on the style information.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for providing blockchain-based metadata management. An example method includes receiving an electronic indication of a change in a metadata data structure within a first metadata block stored in a metadata blockchain stored in a blockchain data storage device. The example method may further include determining a set of node devices impacted by the change in the metadata data structure. The example method may further include generating a metadata change consensus notification message. The example method may further comprise transmitting the metadata change consensus notification message to each impacted node device in the set of impacted node devices. Subsequently, the example method may include generating a smart contract in response to receiving a metadata change approval message from each node device impacted by the change in the metadata data structure.

Abstract: In implementations of systems for stylizing digital content, a computing device implements a style system to receive input data describing digital content to be stylized based on visual styles of example content included in a digital template. The style system generates embeddings for content entities included in the digital content using a machine learning model. Classified content entities are determined based on the embeddings using the machine learning model. The style system generates an output digital template that includes portions of the digital content having the visual styles of example content included in the digital template based on the classified content entities.

Abstract: Systems and methods for consistent document modification are provided. Embodiments include accessing a first document that comprises a first document object, where the first document object has a first document object style. The embodiments further comprise accessing a second document that comprises a second document object, where the second document object has a second document object style. The first document object style is to be modified based on the second document object style. The embodiments include hashing the first document object style to generate a first document object style hash, and hashing the second document object style to generate a second document object style hash. Based on determining the first document object style hash is different from the second document object style hash, the first document object is modified, within the first document, to comprise a modified first document object style that corresponds to the second document object style.

Abstract: Embodiments are disclosed for real-time copyfitting using a shape of a content area and input text. A content area and an input text for performing copyfitting using a trained classifier is received. A number of remaining characters in the content area is computed in real-time using the input, the computing performed in response to receiving additional input text, wherein computing, in real-time, the number of remaining characters in the content area using the input text includes generating, by the trained classifier, a set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area. The first set of one or more weights, the second set of one or more weights, the input text, and the additional input text, and a copyfitting parameter indicating a number of additional characters to be fitted into the content area are determined based on the content area.

Abstract: Embodiments described herein include aspects related to generating a layout-aware background image. Aspects of the method include receiving a training dataset comprising a document. The method further includes obtaining a mask image based on a layout of content in the document, the mask image having a content area corresponding to content of the document. The method further includes training a machine learning model using the mask image to provide a trained machine learning model that generates transparency values for pixels of a background image for the document.

Abstract: Disclosed are various embodiments for cryptographic processing on client devices. A cryptographic service can receive a cryptographic operation request from a client application. The cryptographic operation request can include a key identifier for a private key and data to be cryptographically processed and the cryptographic operation request specifying a cryptographic operation to be performed. A cryptographic provider can then be identified based at least in part on the key identifier for the private key. A request is subsequently sent to the cryptographic provider to perform the cryptographic operation on the data using the private key. A response is then received from the cryptographic provider and sent to the client application.

Abstract: In implementations of text wrap modification using variable inset, a display screen of a device displays lines of text wrapped to an inset space maintained between an object boundary and the lines of text. The device implements a text wrap modification module to determine that a penalty value associated with a line of text is reduced if the line of text is extended to include one or more words from a subsequent line of text, determine that the one or more words fit within an additional space for the line of text based on a variable overlap of the line of text into the inset space, and display the one or more words from the line of text as extended to include the one or more words from the subsequent line of text.

Abstract: Systems and methods for natural language processing are described. Embodiments of the present disclosure receive plain text comprising a sequence of text entities; generate a sequence of entity embeddings based on the plain text, wherein each entity embedding in the sequence of entity embeddings is generated based on a text entity in the sequence of text entities; generate style information for the text entity based on the sequence of entity embeddings; and generate a document based on the style information.

Abstract: A system for holding a network conferencing session may include a remote server and a presenter interface. The remote server may be configured to load a presentation material in a content renderer operated at the remote server and transmit video streams of the presentation material to remote client devices that are in the network conferencing session. The presenter interface may receive one of the video streams and display the presentation material based on data from the one of the video streams. The presenter interface may capture interactive events of a presenter directed at the presenter interface. The presenter interface may transmit the interactive events of the presenter to the remote server for remotely controlling the content renderer operating at the remote server using the interactive events directed at the presenter interface.

Abstract: In implementations of text wrap modification using variable inset, a display screen of a device displays lines of text wrapped to an inset space maintained between an object boundary and the lines of text. The device implements a text wrap modification module to determine that a penalty value associated with a line of text is reduced if the line of text is extended to include one or more words from a subsequent line of text, determine that the one or more words fit within an additional space for the line of text based on a variable overlap of the line of text into the inset space, and display the one or more words from the line of text as extended to include the one or more words from the subsequent line of text.

Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for providing blockchain-based metadata management. An example method includes receiving an electronic indication of a change in a metadata data structure within a first metadata block stored in a metadata blockchain stored in a blockchain data storage device. The example method may further include determining a set of node devices impacted by the change in the metadata data structure. The example method may further include generating a metadata change consensus notification message. The example method may further comprise transmitting the metadata change consensus notification message to each impacted node device in the set of impacted node devices. Subsequently, the example method may include generating a smart contract in response to receiving a metadata change approval message from each node device impacted by the change in the metadata data structure.

Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.

Abstract: This disclosure includes technologies for image processing, specifically for generating layout variations that are different but visually consistent with the input layout. The disclosed system determines a visual flow of the design blocks in the input layout, and then generates layout variations based on the visual flow. Advantageously, the disclosed technologies enable both novices and seasoned designers to efficiently create alternative layout variations, even in real-time with intricate designs.

Abstract: This disclosure includes technologies for image processing, specifically for generating layout variations that are different but visually consistent with the input layout. The disclosed system determines a visual flow of the design blocks in the input layout, and then generates layout variations based on the visual flow. Advantageously, the disclosed technologies enable both novices and seasoned designers to efficiently create alternative layout variations, even in real-time with intricate designs.

Abstract: As part of generating a digital catalog, a creative professional interacts with digital content via a user interface to specify an arrangement of the digital content in relation to each other. This is used by a digital layout creation system to generate a layout block that is to serve as a basis for digital catalog entries in the digital catalog. As part of arranging the digital content, the digital layout creation system generates metadata automatically and without user intervention in real time that specifies the arrangement of the digital content and what digital content is associated as part of that arrangement. Once a desired arrangement is achieved by the creative professional, an input is received by the digital layout creation system to create a layout block that is used as a basis to generate digital catalog entries of a digital catalog.