Abstract: In one embodiment, a method includes, by a client system, receiving, at the client system, a first user input, processing by the client system, the first user input to provide an initial response by identifying one or more entities referenced by the first user input and providing, by the client system, the initial response, where the initial response includes a conversational filler referencing at least one of the one or more identified entities, processing the first user input to provide a complete response by identifying, by the client system, one or more intents and one or more slots associated with the first user input based on a semantic analysis by a natural-language understanding module, and providing, by the client system, the complete response subsequent to the initial response, where the complete response is based on the one or more intents and the one or more slots.

Abstract: A user identifies products offered by the user to an online system. The online system identifies a product offered by the user in an image by applying a identification model to the image. If the online system identifies a product in the image with at least a maximum confidence value, the online system automatically tags the post with metadata about the product or suggests a tag to the user. If an object in the image could be one of multiple products, the online system identifies the multiple products to the user, which may be ordered based on confidences of matching the object, allowing the user to select which product is in the image. If the unlisted identifies a product in the image with less than a minimum confidence value, the online system identifies the user's offered products and suggests that the user select a product.

Abstract: An online system allows users to exchange messages with other users, including entities such as businesses. The online system determines a metric describing measure of an entity's responsiveness to messages received via the online system based on a number of messages to which the entity responds and times for the entity to respond to messages. The online system displays an indication of the metric for an entity in connection with content identifying the entity. For example, the indication is displayed in conjunction with a content item identifying the entity, such as a content item including a link to initiate communication of a message to the entity.

Abstract: Techniques for group message thread link administration are described. In one embodiment, an apparatus may comprise a client front-end component operative to receive a join invitation command associated with a group message thread from an administrator client device, the group message thread associated with a message thread identifier, the message thread identifier identifying the group message thread on a messaging system; and send a join invitation link to the administrator client device; and a group management component operative to generate a join invitation link in response to the join invitation command, the join invitation link comprising a thread invitation identifier, wherein the thread invitation identifier is a hash of the message thread identifier. Other embodiments are described and claimed.

Abstract: The disclosed computer-implemented method may include (1) receiving, at a hardware accelerator that supports an ANN, an activation data set that is to undergo a convolution operation via a filter kernel of the ANN, (2) receiving, at the hardware accelerator, an argument indicating that the filter kernel exceeds at least one boundary of the activation data set when slid across a certain position during the convolution operation, (3) determining, based at least in part on the argument, that the hardware accelerator is to generate padding data at the boundary of the activation data set in connection with the certain position of the filter kernel, and then (4) performing, at the hardware accelerator, the convolution operation by processing a portion of the activation data set and the padding data when the filter kernel slides across the certain position. Various other systems and methods are also disclosed.

Abstract: An example disclosed system may include a hardware video encoding pipeline (HVEP), the HVEP that includes a prediction module that generates, using a primary prediction mode, a primary encode of a portion of a video stream, and using a secondary prediction mode, a secondary encode of the portion of the video stream. The HVEP may also include (1) a rate-distortion optimization (RDO) module that determines a primary cost associated with the primary encode and a secondary cost associated with the secondary encode, (2) a quality metric (QM) module that determines a primary QM associated with the primary encode and a secondary QM associated with the secondary encode, and (3) a decision module that selects, for an encoding of the video stream, at least one of the primary prediction mode and the secondary prediction mode based on the primary cost, the secondary cost, the primary QM, and the secondary QM.

Abstract: An online system calculates bids for content items to display to users based on the value of a product described in the content item and the likelihood of a viewing user purchasing the product. The online system identifies an impression opportunity for an ad request and computes an expected value of the conversion and a likelihood of the conversion. The online system computes a bid amount based on the expected conversion value and the likelihood of the conversion. Bids based on the value of the conversion allow a third party system offering the product to optimize for the value of each conversion instead of the conversion rate.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

Abstract: An example device may include an optical modulator configured to generate an optical beam encoding network data, an optical power amplifier configured to adjust a transmitted power of the optical beam, and a transmit beam angle mechanism configured to adjust a beam direction of the optical beam and to transmit the optical beam to a remote receiver over a free-space optical link. Example devices may include a controller configured to receive backchannel data from the remote receiver and modify a characteristic of the optical beam based on the backchannel data. Various other devices, systems, and methods are also disclosed.

Abstract: In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.

Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.

Abstract: The present disclosure is directed toward systems and methods for providing a live poll with a video presentation. In particular, the systems and methods described herein provide a video stream received from a broadcaster client device to one or more viewer client devices. Additionally, the systems and methods described herein provide a live poll to the one or more viewer client devices together with the video stream. The systems and methods receive poll responses from the one or more viewer client devices, compile poll results based on the received responses, and provide the poll responses to the broadcaster client device and the one or more viewer client devices.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a landscape video to be presented in a vertical orientation through a display screen of a computing device. Frames of the landscape video can be cropped to allow for full screen presentation of the landscape video in the vertical orientation. The cropped frames of the landscape video can be provided for presentation through the display screen of the computing device in the vertical orientation.

Abstract: A processor system comprises a memory organizer unit and a matrix computing unit. The memory organizer unit is configured to receive a request for a three-dimensional data of a convolutional neural network layer. The requested three-dimensional data is obtained from a memory. The obtained three-dimensional data is rearranged in an optimized linear order and the rearranged data in the optimized linear order is provided to the matrix computing unit. The matrix computing unit is configured to perform at least a portion of a three-dimensional convolution using at least a portion of the provided rearranged data in the optimized linear order.

Abstract: An online system receives information describing a target group of online system users from a third party system that includes one or more user properties, which may identify an action performed by a an online user within a time interval to include the user in the target group. When an opportunity to present advertisement requests to a user is identified, the online system retrieves actions associated with the user and times associated with the actions. If an action associated with the user matches the action identified by the user properties and occurred within the time interval identified by the user properties, and other characteristics of the user satisfy at least a threshold number of the user properties, the online system includes the user in the target group. Advertisement requests having targeting criteria, including the target group, satisfied by characteristics of the user are evaluated for presentation to the user.

Abstract: An example system may include a primary mode decision module, included in a hardware video encoding pipeline, that (1) receives video data for encoding in accordance with a video encoding standard, and (2) identifies, from an initial set of prediction modes supported by the video encoding standard, a primary set of prediction modes for encoding the video data in accordance with the video encoding standard. The example system may also include a secondary mode decision module that (1) determines, for each prediction mode included in the primary set of prediction modes and based on the video data, a cost associated with the prediction mode, and (2) selects, from the primary set of prediction modes and based on the determined costs associated with the prediction modes included in the primary set of prediction modes, a prediction mode for encoding of the video data by the hardware video encoding pipeline.

Abstract: A disclosed system may include a hardware distortion data pipeline that may include (1) a quantization module that generates a quantized data set, (2) an inverse quantization module that generates, from the quantized data set, an inverse quantized data set by executing an inverse quantization of the quantized data set, and (3) an inverse transformation module that generates an inversely transformed data set by executing an inverse transformation of the inverse quantized data set. The system may also include a hardware determination pipeline that determines a distortion metric based on the inversely transformed data set and the residual frame data set, and a hardware token rate pipeline that determines, based on the quantized data set, a token rate for an encoding of the residual frame data set via a video encoding pipeline. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A network can operate a WiFi access point with credentials. An unconfigured device can support a Device Provisioning Protocol (DPP), and record bootstrap public keys and initiator private keys. The network can record bootstrap public and responder private keys and operate a DPP server. A responder proxy can establish a secure and mutually authenticated connection with the network. The network can (i) derive responder ephemeral public and private keys, (ii) record the initiator bootstrap public key, and (iii) select a responder mode for the responder. The network can derive an encryption key with at least the (i) recorded the initiator bootstrap public key and (ii) derived responder ephemeral private key. The network can encrypt credentials using at least the derived encryption key and send the encrypted credentials through the responder proxy to the initiator, which can forward the encrypted credentials to the device, thereby supporting a device configuration.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for accurately, flexibly, and efficiently broadcasting public combined live video streams from multiple participant devices, which change over the course of the live broadcast, as well as generating dynamic user interfaces that streamline adding, removing, and swapping participant devices from the public combined live video stream. In particular, a live video streaming system facilitates compositing live video streams from multiple participant devices into a public combined live video stream within a digital room before broadcasting the public combined live video stream to viewer devices.