Abstract: A connected-device network can continually learn from abstract sensory data (e.g., speech processing, cognitive inference, and/or computer vision image segmentation) and can generate never-seen-before data in real time. In one aspect, the network devices extract important correlations in the sensor data based on network data collected at different time slice and/or locations. Further, underlying relationships in a set of data can be detected as the sensor data transverses through different layers of the network. Moreover, the network devices can provide logic in different layers to help classify the sensor data early in the detection process (e.g., instead of waiting for it to reach its final destination).

Abstract: Provided are methods and systems for video recording. The video recording method may include capturing a preview image, using a camera included in the electronic device, based on a set frame rate and in response to the electronic device entering an image photographing mode; storing the captured preview image; applying at least one time-fake effect among a plurality of set time-fake effects to the stored preview image; and creating a video file of a set format by encoding the preview image after the applying the at least one time-fake effect.

Abstract: Methods, systems, and computer readable medium for improving opt-out compliance are disclosed. A method includes identifying an opportunity to transmit a digital component to a client device that is identified by a given unique identifier, accessing a database, identifying, within the database and based on the accessing, an opt-out timestamp specifying when a given user corresponding to the given unique identifier was presented the opt-out opportunity, determining, whether the timestamp indicates that the user was presented with the opportunity within a specified amount of time, and processing the opportunity by submitting the opportunity to transmit the digital component to third party digital component sources in response to determining that the given user was presented with the opportunity within the specified amount of time, or refraining from submitting the opportunity in response to determining that the given user was not presented with the opportunity within the specified amount of time.

Abstract: In Internet Protocol version 6 (IPv6) over Low power Wireless Personal Area Networks (6LoWPAN), a distribution criterion for a prefix using a 6LoWPAN Context Option (6CO) can be set. The distribution criterion for the prefix using 6CO is set, and one of the prefix using the 6CO and a prefix using a Prefix Information Option (PIO) is distributed to another communication device based on the set distribution criterion.

Abstract: In some implementations, a system causes electronic devices to initiate different types of interactions with users of the electronic devices, the interactions being initiated based on rules to selectively cause initiation of the interactions for the users. The system receives user action data from electronic devices that are associated with a particular program. The system generates log data that tracks instances in which conditions or triggers of the rules of the particular program are satisfied. Based on the user action data of the multiple users and the log data, the system evaluates effectiveness of the rules in maintaining or improving engagement of the users with the particular program. The system generates rule adjustment information for the particular program, such as information indicating one or more changes to the rules of the particular program or one or more new rules for initiating interactions.

Abstract: Disclosed are systems, methods, and computer-readable storage media to provide for progressive display of attachments on a mobile device. In some aspects, a method includes determining a sequence of media for presentation to a user, determining to insert new media between two media of the sequence of media. In some aspects, the new media may be a short form video. The method may further include receiving touch screen input while presenting the new media, and presenting additional media in response to the touch screen input. In some aspects, the additional media may be a long form video. In some aspects, additional input may be received while the additional media is presented. The new input may request a further media be presented. The further media may be a software installation dialog or a web page.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to predict an action based on content in electronic messages, at least one action being a responsive electronic message. In some examples, a method may include receiving data representing an electronic message with an electronic messaging account, identifying one or more component characteristics associated with one or more components of the electronic message, characterizing the electronic message based on the one or more component characteristics to classify the electronic message for a response as a classified message, causing a computing device to perform an action to facilitate the response to the classified message, and the like.

Abstract: Sharing media items includes receiving, on a first device, user input indicating a request for media items on a second device, wherein the request identifies an object represented in the media items, obtaining, on a requesting device, an object model for the object, generating a pull request comprising pull request parameters, wherein the pull request parameters comprise the object model, and transmitting the pull request from the first device to the second device, wherein the object model identifies the object represented in the media items.

Abstract: Techniques and solutions are described for facilitating collaborations between entities. A hub computing system is provided that is accessible to multiple client systems. The hub computing system can be used to create instances of collaboration entities, which can be of various defined types. Object instances can be created and included in, or referenced by, the collaboration entity instances. Clients may take various actions with respect to a collaboration entity instance using one or more hub services. At least a portion of the actions taken with respect to a collaboration entity instance can be recorded in a blockchain. The blockchain records can be used to verify actions taken with respect to a collaboration entity instance, and to verify the integrity of collaboration entity instances.

Abstract: A technology is described for managing dynamic groups of devices using device representations. An example method may include receiving a request for a dynamic group of device representations. In response to the request, a membership parameter used to identify member device representations included in the dynamic group of device representations may be obtained. Device representations may be queried using the membership parameter to identify member device representations that have a state that corresponds to the membership parameter, and the dynamic group of device representations may be generated to include identifiers for the member device representations.

Abstract: Inference server and computing device for inferring an optimal wireless data transfer rate. The computing device determines parameters of a data transfer through a wireless communication interface of the computing device, and transmits the parameters of the data transfer to the inference server. The inference server receives the parameters of the data transfer, executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring an optimal data transfer rate based on the parameters of the data transfer, and transmits the optimal data transfer rate to the computing device. The computing device receives the optimal data transfer rate, and configures its wireless communication interface to operate at the optimal data transfer rate. For example, the computing device consists of an environment control device (e.g. an environment controller, a sensor, a controlled appliance, and a relay).

Abstract: A system enabling cloud access to a legacy application, said system comprising a local system and a cloud system, wherein the local system comprises: a locally stored legacy application; a first storage comprising a first data store associated with the application; an adapter configured to retrieve data from the first data store; and a synchronization engine configured to synchronize the retrieved data with the cloud system; and the cloud system comprises: a second storage comprising a second data store associated with the legacy application; and an application programming interface, API, configured to receive the retrieved data from the local system and update the second data store based on the received data.

Abstract: An embodiment may involve persistent storage containing a predefined token and application state. The embodiment may also involve an application configured to communicate with a message bot and perform operations including: (i) receiving, by way of an interface associated with a unit of program code and from the message bot, a command, wherein the command identifies a bot token and a user of a chat session in which the message bot is engaged; (ii) verifying, by the unit of program code, that the bot token matches the predefined token; (iii) verifying, by the unit of program code, that the user is authorized to use the command; (iv) writing, to the persistent storage, an update to the application state, wherein the update is based on the command; and (v) transmitting, by way the interface and to the message bot, a response confirming that the command has been performed.

Abstract: A technology is described for operating a device shadowing service that calculates an aggregated group state for a group of device representations. An example method may include receiving device states for devices represented using a group of device representations, where the devices connect over a network to a device shadowing service configured to manage the device states. In response to an event, device representations included in the group of device representations may be identified. Device states indicated by the device representations may be obtained and an aggregated group state for the group of device representations may be calculated using the device states indicated by the device representations.

Abstract: The current document is directed to methods and systems for frequency-domain analysis of operational and performance metric values and other data generated and collected within computer systems, including large distributed computer systems and virtualized data centers. In one implementation, each set of time-ordered values for each metric in a set of metrics is partitioned into time intervals, transformed from the time domain to the frequency domain, and aligned to generate a metric surface in a frequency-time-amplitude space. The metric surfaces are then pairwise compared to identify related metrics. Transfer functions are generated for transforming metric surfaces into one another. The comparison values and transfer functions are used to produce graphs that encapsulate discovered relationships between metrics.

Abstract: Methods, systems, and computer-readable media for template-based onboarding of internet-connectible devices are disclosed. A device onboarding service receives an onboarding request comprising a proof and context of identity (PCI) of an Internet-connectible device (ICD). The service determines an account associated with the ICD based at least in part on the onboarding request. The account is associated with an account policy in an onboarding template that is determined at least in part by an owner of the account. If the PCI is verified against one or more criteria of the onboarding template, then a device configuration is determined based at least in part on the onboarding template. The service sends the device configuration to the ICD, and the ICD's behavior is determined at least in part on the device configuration. The ICD uses the access credentials of the device configuration to communicate with an application in a cloud computing environment.

Abstract: An example operation may include a method comprising one or more of creating a VNFC monitor, starting a VNFC monitor, sending VNFCI state change notifications which includes a status of one or more VNFC modules, stopping a VNFC monitor, and destroying a VNFC monitor.

Abstract: A mixing pattern system for networks is provided. One or more nodes in a network are analyzed. Grouping the one or more nodes into one or more classes within the network. A computer device analyzes one or more transactions between the one or more nodes in the network that include nodes within similar or distinct classes of the one or more nodes. A computer device identifies one or more mixing patterns associated with one or more transactions between the one or more nodes.

Abstract: A server for managing data, according to various embodiments, may comprise: communication circuitry for receiving a data request from at least one electronic device; a cache for storing a plurality of update data according to an update time; and a processor for, when the data request is received from the electronic device, searching the cache for update data for a first period starting from a previous data request time to the time of receiving the data request, and transmitting at least one updated data of the first period to the electronic device.

Abstract: In one embodiment, a method includes, at a central data center including at least one server computer, maintaining central hospitality data for a plurality of hospitality systems. The method further includes serving, by the central data center, at least a portion of the central hospitality data to a plurality of computing devices operated by hospitality consumers. The method also includes, at the central data center, receiving, at regular intervals, an automated email from each hospitality system of the plurality of hospitality systems. Each automated email encapsulates updated local hospitality data gathered by the hospitality system. In addition, the method includes, at the central data center, retrieving the updated local hospitality data from each automated email. Also, the method includes, at the central data center, updating the central hospitality data per the updated local hospitality data.