Abstract: A computer-implemented method for client-side identity verification may include (1) receiving, via an endpoint computing device, input from a user that includes biometric data of the user captured by a sensor of the endpoint computing device and visual data of a physical identification document that includes a record of the biometric data, (2) verifying, by the endpoint computing device, that the biometric data captured by the sensor of the endpoint computing device matches the record of the biometric data in the physical identification document, and (3) transmitting, to a server, a verification that the user has been identified while preventing the biometric data from being included in the verification sent to the server. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method includes rendering a first output image comprising one or more augmented-reality (AR) objects for displays of an AR rendering device of an AR system associated with a first user. The method further includes accessing sensor signals associated with the first user. The one or more sensor signals may be captured by sensors of the AR system. The method further includes detecting a change in a context of the first user with respect to a real-world environment based on the sensor signals. The method further includes rendering a second output image comprising the AR objects for the displays of the AR rendering device. One or more of the AR objects may be adapted based on the detected change in the context of the first user.

Abstract: In one embodiment, a method includes receiving, at a client system, an audio input, where the audio input comprises a coreference to a target object, accessing visual data from one or more camera associated with the client system, where the visual data comprises images portraying one or more objects, resolving the coreference to the target object from among the one or more objects, resoling the target object to a specific entity, and providing, at the client system, a response to the audio input, where the response comprises information about the specific entity.

Abstract: Example order management systems and methods are described. In one implementation, a catalog ingestion system receives data associated with multiple products offered by multiple brands. A commerce management system receives a customer order from a customer. The customer order includes at least a portion of the multiple products offered by the multiple brands. The commerce management system splits the customer order into multiple brand orders such that each brand order is associated with products in the customer order from a particular brand. An integration platform fulfills the brand orders by submitting the brand orders to the associated brands.

Abstract: Ephemeral stories allow users of an online system, such as a social networking system, to share content for a pre-determined temporary length of time. Channels group and organize stories based on content. Topic-based channels allow contain stories that have related content. Hashtag- and sticker-associated channels contain stories that include particular hashtags or stickers, respectively. User-specific channels contain content tailored by the online system for display to a particular user based on preferences and history. Collaborative channels are channels that are private to a specific group of users. The use of channels improves the online experience by grouping stories by content, thereby facilitating users' interaction with similar content.

Abstract: A method for generating a content feed includes receiving, from a content provider, a target content item and a policy for the target content item, specifying a prohibited classification of the content that cannot be published adjacent to the target content item. The method also includes identifying a slot in a content feed including multiple content items. A machine learning model is then accessed and applied to two adjacent content items that are adjacent to the slot to determine whether each of the adjacent content items is the prohibited classification. Responsive to determining that the adjacent content items are not the prohibited classification, the target content item is placed in the slot, and the content feed including the target content item is sent for display to a viewing user.

Abstract: In one embodiment, a method for machine learning acceleration includes receiving, by a shared controller of a tensor processor cluster that includes multiple tensor processors, a multi-cycle instruction, determining, based on the instruction, a sequence of vector operations to be executed by the tensor processors and address information usable to determine a respective spatial partition of an input tensor on which each tensor processor is to operate when performing each vector operation. The method also includes, for each vector operation in the sequence, generating, based on the address information, a common address offset, relative to a respective base address associated with each tensor processor, at which each tensor processor is to retrieve the respective spatial partition on which the tensor processor is to operate, multicasting the common address offset to the tensor processors, and controlling the tensor processors to execute the vector operation in parallel and in lock step.

Abstract: Disclosed technology herein provides a computer-implemented method for asset tracking in a network having a plurality of connected devices, comprising generating a network graph based on network data captured at least in part via peer-to-peer polling, the network data including data relating to tracked assets in a network, where the peer-to-peer polling is used to validate a presence of at least a portion of the tracked assets in the network, generating an estimated size of the network graph using a graph estimation algorithm, determining an estimate of the tracked assets based on the estimated size of the network graph, and determining one or more remediation actions in response to the estimate of the tracked assets, where at least a portion of the network graph can be stored in a decentralized manner. The graph estimation algorithm can include a random walk algorithm, a random sampling algorithm, and/or an induced edges algorithm.

Abstract: Systems and methods for availability-based streaming may include (1) detecting that a user of a messaging service has selected a call-availability element provided within an instance of a messaging thread, generated for the user, that enables digital messaging between the user and a contact of the user, (2) signaling to the user's contact that the user is available for a call via the messaging thread by instructing a device of the contact to display a selectable prompt that indicates that the user is available for the call via the messaging thread, (3) detecting that the user's contact has selected the selectable prompt via the contact's device, and (4) instructing the contact's device to display a call-launch element configured to launch the call between the user and the user's contact via the messaging thread when selected via user input. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method includes, by one or more computing devices, receiving, from a client system of a first user of an online social network, a text post inputted by the first user, parsing the text post to identify a query associated with the text post, sending, to the client system, instructions for presenting a confirmation prompt requesting confirmation of the identified query from the first user, receiving, from the client system, a confirmation of the identified query from the first user, generating, in response to receiving the confirmation, a recommendation list responsive to the query, wherein the recommendation list comprises references to one or more objects referenced in one or more prior comments associated with one or more prior posts of the online social network associated with the query, and sending, to the client system, instructions for presenting the recommendation list to the first user.

Abstract: In some embodiments, a computer-implemented method includes capturing an image for each flash unit of an electronic device, each image being illuminated during the capturing of the image; obtaining a normalized image from one or more of the illuminated images; and using an illumination-based optimization framework to generate an enhanced three-dimensional (3D) depth image, the illumination-based optimization framework being based on the illuminated image. In some embodiments of the computer-implemented method, the illumination-based optimization framework incorporates the normalized image and 3D depth data associated with the captured image into the generation of the enhanced 3D depth image.

Abstract: In one embodiment, a method includes displaying, by the first computing device, a first content adaption of a digital content, synchronously with one or more second content adaptions displayed on one or more second computing devices, respectively, where the one or more second computing devices are in physical proximity to the first computing device, detecting, by the first computing device, a change in position information for at least one of the one or more second computing devices, receiving, by the first computing device from a server, a reconfigured first content adaption, where the reconfigured first content adaption and one or more reconfigured second content adaptions are reconfigured responsive to the change in position information, and displaying, by the first computing device, the reconfigured first content adaption, synchronously with one or more of the reconfigured second content adaptions displayed on one or more of the second computing devices, respectively.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, determining that the user request corresponds to a first suspended task, retrieving a first dialog state of the first suspended task from a dialog history associated with the user, generating a summary of the first suspended task based on the first dialog state using a natural-language generating (NLG) module, and sending instructions to the client system for providing the summary of the first suspended task to the user.

Abstract: Disclosed technology herein provides for generating a network traffic map, using a social graph algorithm, based on a first set of network traffic data captured in a first time frame, storing map data from the network traffic map in a decentralized manner, generating a risk assessment based on comparing a second set of network traffic data captured in a second time frame to anticipated network traffic, wherein the anticipated network traffic is based on the network traffic map, and wherein the first time frame is prior to the second time frame, and determining one or more remediation actions in response to the risk assessment. Network traffic data can include data representing a transaction duration and/or a volume of data transferred. In embodiments, map data from the network traffic map is stored in individual nodes and aggregated centrally, and peer-to-peer validation is conducted on map data from the network traffic map.

Abstract: A method for analysis of an image comprises: receiving (402) the image to be analyzed; processing (404) the image with a machine-learned model, wherein the machine-learned model is configured to predict at least an intrinsic parameter of the image using at least a first variable of the machine-learned model, wherein the first variable defines a relation between a radial distortion of the image and a focal length of the image; and outputting (406) the intrinsic parameter of the image. Also, methods for forming a 3D reconstruction of a scenery, for training a machine-learned model for analysis of an image and for generating a dataset of images for training a machine-learned model are disclosed.

Abstract: Systems, methods, and non-transitory computer readable media are configured to perform operations comprising determining a list of contacts of a user of an application; identifying a contact in the list of contacts that has posted a content item that is accessible to the user; and causing, through an interface of the application, presentation of the contact in the list of contacts with an indication that the content item is accessible to the user.