Abstract: There is provided a method that includes depositing a plurality of layers in a substrate including a pattern. The plurality of layers can form a stack that includes at least two different materials. The stack thus forms a composite layer which has an effective index of refraction that is unique. The method may make use of at least two different materials, which can be a combination of aluminum oxide (A12O3), Titanium Dioxide (TiO2), and silicon dioxide (SiO2). These materials may be deposited via atomic layer deposition (ALD).

Abstract: There are provided a volume Bragg grating and a method and a system for fabricating it. For instance, there is provided a system that includes a set of spatial light modulators configured to receive a light input. The light input can include a set of input paths where each input path in the set of input paths corresponds to a respective spatial light modulator from the set of spatial light modulators. The system can further include an input light processing module configured to condition an input light beam to output the light input to the set of spatial light modulators. The system can further include an optics module configured to receive a pattern originating from the set of spatial light modulators.

Abstract: Described embodiments provide systems and methods for adapting/negotiating media information. A first device may determine a channel quality of a wireless channel in an unlicensed spectrum between the first device and a first tethered device. The first device may determine a first bit rate supportable on the wireless channel according to the channel quality. The first device may send, to the second device, an offer message with an offered bit rate comprising a lower of the first bit rate or a second bit rate supportable by a connection between the first device and the second device at least partially across a licensed spectrum. The first device may receive, from the second device, a reply message with a reply bit rate that is less than or equal to the offered bit rate, to apply to wireless communication across at least the first tethered device, the first device and the second device.

Abstract: According to examples, a system for generating and providing organization-bounded spaces for a virtual community of users may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to generate an organization-bounded space; analyze user information to associate a user with the organization-bounded space; enable the user to receive and publish a content item; and implement a security feature for communications associated with an organization-bounded space and/or its associated users. The processor may further determine recommend a group to the user and identify a user representative for the organization-bounded space.

Abstract: The disclosed technology can perform application controls in response to recognizing particular gestures. The disclosed technology can provide a launcher with virtual objects displayed in categories (e.g., history, pinned favorites, people, and a search area). The disclosed technology can perform a clone and configure input pattern, which clones a source virtual object into one or more cloned virtual objects with alternate configuration properties. The disclosed technology can perform a page or peel input pattern, which allows users to page between grids of virtual objects and facilitates peeling items out of the grid. The disclosed technology can perform a clutter and clear input pattern, which can expand multiple elements into individual views, while clearing other virtual objects.

Abstract: Aspects of the present disclosure are directed to virtual interaction modes for social and group communication. Additional aspects of the present disclosure are directed to automated controls for connecting a trigger performed in an artificial reality environment to an action on a personal computing device. Further aspects of the present disclosure are directed to providing versions of person virtual objects in an artificial reality environment and contextual breakpoints to switch between them. Yet further aspects of the present disclosure are directed to extending a mouse for artificial reality environment input.

Abstract: Aspects of the present disclosure are directed to creating and administering artificial reality collaborative working environments and providing interaction modes for them. An XR work system can provide and control such artificial reality collaborative working environments to enable, for example, A) links between real-world surfaces and XR surfaces; B) links between multiple real-world areas to XR areas with dedicated functionality; C) maintaining access, while inside the artificial reality working environment, to real-world work tools such as the user's computer screen and keyboard; D) various hand and controller modes for different interaction and collaboration modalities; E) use-based, multi-desk collaborative room configurations; and F) context-based auto population of users and content items into the artificial reality working environment.

Abstract: According to examples, a system for generating and delivering enhanced content utilizing remote rendering and data streaming is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to transmit a selected engagement content item for transmission to a user device and receive an indication of interest relating to the selected engagement content item. The processor, when executing the instructions, may then select, based on the received indication of interest, an enhanced content item, process the enhanced to content item to generate a stream of content data associated with the enhanced content item and transmit the stream of content data associated with the enhanced content item to the user device.

Abstract: Aspects of the present disclosure are for an interaction mode system that provides multiple interaction modes in an artificial reality environment with automatic, context-specific transitions between interaction modes. An interaction mode can specify how the interaction mode system determines direction indications and movement within an artificial reality environment and interactions for making selections or performing other actions. In some implementations, the interaction mode system can control at least four interaction modes including a no-hands, 3DoF mode, a no-hands, 6DoF mode, a gaze and gesture mode, and a ray casting mode. The interaction mode system can employ a mapping of interaction mode context factors (e.g., which components are enabled, mode settings, lighting or other environment conditions, current body positions, etc.) to interaction modes to control transitioning between particular interaction modes.

Abstract: Disclosed herein are systems and methods related to describing slot information. In one aspect, a first wireless communication device determines a bitmap having a value for each of a plurality of slots for wireless traffic. The bitmap may indicate a status or type of a corresponding slot. The first wireless communication device may send, using a wireless local area network (WLAN) based protocol, to a second wireless communication device, a message comprising the bitmap. The message may further comprise a duration of each of the plurality of slots, a period of the plurality of slots, and a persistency of the plurality of slots.

Abstract: Exemplary embodiments relate to techniques for representing conversations in a messaging system, where content serves as the organizing feature or primitive of a messaging inbox. In the messaging inbox, a first level of organization allows for the selection of a user account associated with shared content. Upon selecting the user account, the account's content (e.g., photographs, videos, etc.) appear as a second level of organization. Thus, content may be aggregated in two hierarchical tiers: first, on a per-sender basis, and second on a per-content basis. In some embodiments, messages generated in response to the content may be displayed on the content. The content may be made progressively darker as more replies are received. Messages can be made temporary using a number of different ephemerality models. Messages may also be made permanent, with previously shared content shown in respective inbox drawers.

Abstract: Techniques are described for improving security of a boot sequence of a system, such as an artificial reality system. In some examples, a method includes configuring, by a boot sequencing system, attack detection circuitry based on configuration information accessed from a first storage device; after configuring the attack detection circuitry, starting, by the boot sequencing system, a root of trust processor to initiate a boot sequence; enabling access, by the root of trust processor during the boot sequence, to secret information stored in a second storage device.

Abstract: Disclosed herein includes a system, a method, and a device for prioritizing packet retransmission. A transmitting device can insert, for each packet of a plurality of packets of a video frame, a sequence number indicative of an order of the corresponding packet among the plurality of packets, into a header of the corresponding packet according to an application layer protocol. The transmitting device can transmit to the receiving device, at a first level of priority, the plurality of packets including the corresponding inserted sequence numbers. The transmitting device can receive an identification of one or more packets to be retransmitted to the receiving device, the identification based on at least the inserted sequence numbers of the one or more packets. The transmitting device can retransmit the one or more packets at a second level of priority that is higher than the first level of priority.

Abstract: An online system may identify content with which a user has an interest. For example, the online system may determine that a user has an interest in the content based on interaction information indicating that the user interacted with the content. In a particular example, the online system may identify image concepts included in the content based on computer vision techniques that recognize the image concepts. The online system may model probabilities that image concepts will appeal to users. Based on the modeled probabilities, the online system may automatically recommend image concepts for inclusion in candidate images, automatically generate candidate images, or assess candidate images to determine a probability of user interaction with the assessed candidate images.

Abstract: This disclosure describes systems on a chip (SOCs) that prevent side channel attacks (SCAs). An example SoC includes an encryption engine, a key store, and a security processor. The key store is configured to store a plurality of encryption keys. The encryption engine is configured to encrypt transmit (Tx) channel data using any encryption key of the plurality of encryption keys stored to the key store. The security processor is configured to activate SCA mitigation logic of the SoC based on a determination that the encryption engine encrypts the Tx channel data using a strong key selected from the plurality of encryption keys stored to the key store, and to operate the SCA mitigation logic in a deactivated state based on a determination that the encryption engine encrypts the Tx channel data using a weak key selected from the plurality of encryption keys stored to the key store.

Abstract: In one embodiment, a method includes accessing a first video; predicting a first noteworthy portion for the first video, wherein the first noteworthy portion is a portion of the first video that is predicted based on user-engagement information associated with the portion of the first video; extracting a first highlight from the first video, wherein the first highlight corresponds to the first noteworthy portion; and sending, to a client system of a user, information configured to render the first highlight and a first interactive element that is configured to launch the first video on the client system.

Abstract: According to examples, a system for providing low latency interactive media distribution using shared user hardware may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to register host systems as candidate host systems to host interactive media on behalf of client devices. The system may further receive client device registration data of a client device. The system may select a host system from the candidate host systems to host the interactive media on behalf of the client device. The system may thereby facilitate establishment of a to connection over a network between the client device and the selected host system. In some examples, the connection may allow the selected host system to host the interactive media on behalf of the client device and for the client device to interact with the interactive media hosted on the selected host system.

Abstract: Disclosed herein includes a system, a method, and a device including shift circuitry and add circuitry for performing multiplication of a first value and a second value for a neural network. The first value has a predetermined format including a first bit, and two or more second bits to represent a value of zero or 2n where n is an integer greater than or equal to 0. The device shifts, when the two or more second bits represent the value of 2n, the second value by (n+1) bits via the shift circuitry to provide a first result, selectively outputs zero or the second value, based on a value of the first bit of the first value, to provide a second result, and adds the first result and the second results via the add circuitry to provide a result of the multiplication of the first and second values.

Abstract: Disclosed herein includes a system, a method, and a device for improving computational efficiency of deconvolution by reducing a number of dot products. In one aspect, an input image having a set of pixels is received. A first dot product may be performed on a subset of the set of pixels of the input image and a portion of a kernel, to generate a first pixel of an output image. A number of multiplications performed for the first dot product performed may be less than a number of elements of the kernel. A second dot product on a remaining portion of the kernel to generate the first pixel of the output image may be bypassed.

Abstract: Disclosed herein includes a system, a method, and a device for performing a convolution on data of a current layer of a neural network, including a plurality of channels arranged in a first order and partitioned into a plurality of first partitions according to the first order. Each first partition includes a result of a convolution on a corresponding partition of channels in data of a previous layer of the neural network. The device shifts the plurality of channels arranged in the first order to a second order, partition the shifted plurality of channels into a plurality of second partitions, according to the second order. For each of the plurality of second partitions, the device performs a convolution on channels of the shifted plurality of channels that are in the corresponding second partition.

Abstract: Disclosed herein includes a system, a method, and a device for receiving input data to generate a plurality of outputs for a layer of a neural network. The plurality of outputs are arranged in a first array. Dimensions of the first array may be compared with dimensions of a processing unit (PE) array including a plurality of PEs. According to a result of the comparing, the first array is partitioned into subarrays by the processor. Each of the subarrays has dimensions less than or equal to the dimensions of the PE array. A first group of PEs in the PE array is assigned to a first one of the subarrays. A corresponding output of the plurality of outputs is generated using a portion of the input data by each PE of the first group of PEs assigned to the first one of the subarrays.

Abstract: Disclosed herein includes a system, a method, and a device for reading and writing sparse data in a neural network accelerator. A plurality of slices can be established to access a memory having an access size of a data word. A first slice can be configured to access a first side of the data word in memory. Circuitry can access a mask identifying byte positions within the data word having non-zero values. The circuitry can modify the data word to have non-zero byte values stored starting at an end of the first side, and any zero byte values stored in a remainder of the data word. A determination can be made whether a number of non-zero byte values is less than or equal to a first access size of the first slice. The circuitry can write the modified data word to the memory via at least the first slice.

Abstract: An online system receives a request for a video to be presented by the online system to a target user. The online system determines whether to insert secondary content into the video. For such a determination, the online system identifies a position in the video for inserting secondary content. Further, the online system determines a loss score and a gain score. The loss score measures a loss of interaction by the target user if the secondary content were inserted. The gain score includes a monetary compensation to be received by the online system for inserting the secondary content at the identified position. The online system compares the loss score and the gain score. Based on the gain score offsetting the loss score, the online systems modifies the video by inserting the secondary content at the identified position and provides the modified video for display to the target user.

Abstract: Disclosed herein is a method for using a neural network across multiple devices. The method can include receiving, by a first device configured with a first one or more layers of a neural network, input data for processing via the neural network implemented across the first device and a second device. The method can include outputting, by the first one or more layers of the neural network implemented on the first device, a data set that is reduced in size relative to the input data while identifying one or more features of the input data for processing by a second one or more layers of the neural network. The method can include communicating, by the first device, the data set to the second device for processing via the second one or more layers of the neural network implemented on the second device.

Abstract: Disclosed herein includes a system, a method, and a device for early-exit from convolution. In some embodiments, at least one processing element (PE) circuit is configured to perform, for a node of a neural network corresponding to a dot-product operation with a set of operands, computation using a subset of the set of operands to generate a dot-product value of the subset of the set of operands. The at least one PE circuit can compare the dot-product value of the subset of the set of operands, to a threshold value. The at least one PE circuit can determine whether to activate the node of the neural network, based at least on a result of the comparing.

Abstract: Disclosed herein includes a system, a method, and a device for multiply-accumulate operation. In one aspect, an input operand is received by control circuitry. In one aspect, the control circuitry determines a sparsity of the input operand, where the sparsity may indicate whether a value of the input operand has a predetermined value or not. In one aspect, the control circuitry determines a stationarity of the input operand, where the stationarity may indicate whether the value of the input operand changes over one or more clock cycles. In one aspect, the input operand is provided to multiply-accumulate circuitry as an input, according to the determined sparsity and stationarity of the input operand.

Abstract: Disclosed herein includes a system, a method, and a device for pipelined parallelism to accelerate distributed learning network graph. First data for a first layer of a neural network may be stored in memory. First circuitry including a first plurality of processing element (PE) circuits may read the first data from the memory and perform computation for the first layer of the neural network using the first data to generate second data. The first circuitry includes a plurality of buffers for outputting the generated second data as input to second circuitry to perform computation for a second layer of the neural network. The second circuitry includes a second plurality of PE circuits configured to perform computation for the second layer of the neural network using the second data.

Abstract: Disclosed herein includes a system, a method, and a device for asymmetrical scaling factor support for negative and positive values. A device can include a circuit having a shift circuitry and multiply circuitry. The circuit can be configured to perform computation for a neural network, including multiplying, via the multiply circuitry, a first value and a second value. The circuit can be configured to perform computation for a neural network, including shifting, via the shift circuitry, a result of the multiplying by a determined number of bits. The circuit can be configured to perform computation for a neural network, including outputting the result of the multiplying when a sign bit of the first value is negative, and a result of the shifting when the sign bit of the first value is positive.

Abstract: Information for an advertising campaign is received that includes one or more advertisements for presentation to one or more users of an online system. A strong interest feature domain is generated for each user of the online system. A set of related items is obtained, wherein each item in the set is associated with an action conducted by the one or more users. It can be determined that a viewing user of the online system has interacted with at least one item in the set of related items, and the generated interest feature domain for the viewing user includes an interest feature domain specified in the advertising campaign. Responsive to the determination, an advertisement is selected for presentation to the viewing user.

Abstract: Disclosed herein includes a system, a method, and a device for improving computation efficiency of a neural network. In one aspect, adder circuitry is configured to add input data from processing of the neural network and a first number of bits of accumulated data for the neural network to generate summation data. In one aspect, according to a carry value of the adding from the adder circuitry, a multiplexer is configured to select between i) a second number of bits of the accumulated data and ii) incremented data comprising the second number of bits of the accumulated data incremented by a predetermined value. The summation data appended with the selected one of the second number of bits of the accumulated data or the incremented data may form appended data.

Abstract: An online system receives offline conversion data in real-time from a third party system regarding an offline user, the offline conversion data indicating an action performed by the offline user and identifying information for the offline user. The online system identifies a local user matching the offline user based on the identifying information for the offline user. The online system stores the offline conversion for the identified local user. The online system determines an attribution to a sponsored content item for the offline conversion. The online system presents updated information regarding the offline conversion to the third party system in real-time.

Abstract: An online system may identify content with which a user has an interest. For example, the online system may determine that a user has an interest in the content based on interaction information indicating that the user interacted with the content. In a particular example, the online system may identify image concepts included in the content based on computer vision techniques that recognize the image concepts. The online system may model probabilities that image concepts will appeal to users. Based on the modeled probabilities, the online system may automatically recommend image concepts for inclusion in candidate images, automatically generate candidate images, or assess candidate images to determine a probability of user interaction with the assessed candidate images.

Abstract: A method includes detecting content items stored locally on a client device, each content item including a time stamp and geospatial metadata; identifying one or more sets of content items based on their time stamps being within a first predetermined time range; determining, for each set of content items, a geographic location associated with the content items of the set based on the geospatial metadata of each content item; generating a list of all geographic locations associated with the sets of content items; selecting subsets of content items based on determining that the time stamps associated with each content item of the subset are within a second predetermined time range; determining, from the selected subsets of content items, non-overlapping subsets of content items based on a parent geographic location associated with the selected subset; and sending instructions to categorize content items into the non-overlapping subsets of content items.

Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.

Abstract: Methods and systems that include, by a client computing device of a first user of a social-networking system, receiving from the first user an identifier associated with an intended recipient to which outgoing communication is to be initiated, wherein the identifier is received via a user interface of an application, identifying, based on the intended recipient, social information relevant to the first user, and displaying, in the user interface, the social information that is relevant to the first user. The identifier may include a phone number or an email address of the intended recipient. The social information may include a name of the intended recipient, and/or a social-network profile of the intended recipient. The intended recipient may be a second user of the social-networking system, and the social information may be identified based on how many degrees of separation there are between the first user and the second user.

Abstract: Methods and apparatus for training a classification model and using the trained classification model to recognize gestures performed by a user. An apparatus comprises a processor that is programmed to: receive, via a plurality of neuromuscular sensors, a first plurality of neuromuscular signals from a user as the user performs a first single act of a gesture; train a classification model based on the first plurality of neuromuscular signals, the training including: deriving value(s) from the first plurality of neuromuscular signals, the value(s) indicative of distinctive features of the gesture including at least one feature that linearly varies with a force applied during performance of the gesture; and generating a first categorical representation of the gesture in the classification model based on the value(s); and determine that the user performed a second single act of the gesture, based on the trained classification model and a second plurality of neuromuscular signals.

Abstract: An online system identifies an additional feature to evaluate for inclusion in a machine learned model. The additional feature is based on characteristics of one or more dimensions of information maintained by the online system. To generate data for evaluating the additional feature, the online system generates various partitions of stored data, where each partition includes characteristics associated with one or more dimensions on which the additional feature is based. Using values of characteristics in a partition, the online system generates values for the additional feature and includes the values of the additional feature in the partition. Values for the additional feature are generated for various partitions based on the values of characteristics in each partition. The online system combines multiple partitions that include values for the additional feature to generate a training set for evaluating a machine learned model including the additional feature.

Abstract: An online system optimizes for longer attribution window conversions with an additive decomposition model by predicting the probability that a predefined action happens given an impression/click. The online system receives a content item from a content provider for display to a target user, and predicts a probability that a target user will convert given an interaction with the content item by the target user. The online system computes, by a first trained model, a short-term conversion probability of a conversion event happening within a first conversion window after the interaction. The online system computes, by a second trained model, a long-term conversion probability of the a conversion event happening within a second conversion window after the interaction, the second conversion window being longer than the first conversion window. The online system computes the conversion probability given the interaction based on the short-term conversion probability and the long-term conversion probability.

Abstract: A social networking system presents users with a content items and ad requests, which may include targeting criteria specifying a topic. Interactions by users who were presented with an advertisement from an ad request including targeting criteria specifying the topic are stored by the social networking system and used to identify a cluster group of additional users having characteristics similar to characteristics of users who were presented with the advertisement from the ad request including targeting criteria specifying the topic and who interacted with the advertisement. The social networking system determines scores for additional users in the cluster group based on measures of similarity between the additional users and the users who were presented with the advertisement and who interacted with the advertisement. Based on the determined scores, the social networking system associates additional users in the cluster group with the topic.

Abstract: In one embodiment, a method includes receiving a cover feed interaction history from a device associated with a user of a social-networking system. An order for a plurality of content boards may be determined based on the cover feed interaction history (e.g., viewing history, download status, the current order of content boards in the cover feed, user interaction history, whether the user bookmarked or pinned a particular content board), user information related to the user, and device information about device-based events and device status. Finally, the order for the content boards may be sent to the device. The determination of the order for the content boards may be based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events.

Abstract: Exemplary embodiments relate to the creation of a media effect index for group video conversations. Media effect application (e.g., in the form of graphical overlays, filters, sounds, etc.) may be tracked in a timeline during a chat session. The resulting index may be used to create a highlights reel, which may serve as an index into a live show or may be used to determine the best time to insert materials into a recording of the conversation. The index may be used to automatically detect events in the video feed, to allow viewers to skip ahead to exciting moments (e.g., represented by clusters of applications of particular types of media effects), to determine where each participant spoke in a discussion, or to provide a common “watch together” experience while multiple users watch a common video. An analysis of the index may be used for research or consumer testing.

Abstract: In one embodiment, a method performed by one or more computing devices including defining a hierarchical structure for a user interface (UI) that includes defining one or more layers of the hierarchical structure, adding one or more objects at each layer, and specifying one or more relationships among particular objects. The method further including associating metadata with each object at each layer, the metadata describing how the corresponding object is presented in the user interface.

Abstract: Systems, articles, and methods for improved capacitive electromyography (“EMG”) sensors are described. The improved capacitive EMG sensors include one or more sensor electrode(s) that is/are coated with a protective barrier formed of a material that has a relative permittivity ?r of about 10 or more. The protective barrier shields the sensor electrode(s) from moisture, sweat, skin oils, etc. while advantageously contributing to a large capacitance between the sensor electrode(s) and the user's body. In this way, the improved capacitive EMG sensors provide enhanced robustness against variations in skin and/or environmental conditions. Such improved capacitive EMG sensors are particularly well-suited for use in wearable EMG devices that may be worn by a user for an extended period of time and/or under a variety of skin and/or environmental conditions. A wearable EMG device that provides a component of a human-electronics interface and incorporates such improved capacitive EMG sensors is described.

Abstract: Systems, devices and methods that enable a user to access and interact with content displayed on a portable electronic display in an inconspicuous, hands-free manner are described. There is disclosed a completely wearable system comprising a wearable muscle interface device and a wearable head-mounted display, as well as methods for using the wearable system to effect interactions between the user and content displayed on the wearable head-mounted display. The wearable muscle interface device includes muscle activity sensors worn on an arm of the user to detect muscle activity generated when the user performs a physical gesture. The wearable system is adapted to recognize a plurality of gestures made by the user and, in response to each recognized gesture, to effect one or more interaction(s) with content displayed on the wearable head-mounted display.

Abstract: A computer-implemented method may include receiving, in a messaging client executing on a first client device, a location request from a second client device; determining whether the second client device is authorized to send the location request to the first client device; starting a timer in response to receiving the location request when the second client device is authorized; and sending a location of the first client device to the second client device when the timer expires. Other embodiments are described and claimed.

Abstract: Apparatuses, methods, and systems for allocating capacity for links of a multi-hop distributed network are disclosed. One method includes allocating capacity, by a central controller, for each link of a plurality of links of a sector of a wireless network based at least in part on a number of devices directly or indirectly wirelessly connected to the sector, providing the allocated capacity for each link to the sector, and adjusting, by the sector, the allocated capacity for at least one link of the plurality of links of the sector.

Abstract: Techniques for coordinating a message experience across platforms are described. In one embodiment, an apparatus may comprise a messaging application operative on a processor circuit to receive a request from a remote web browser to login to the messaging application. The messaging application may comprise an access code generator to generate a first access code and present the first access code on a messaging application website; an authenticator to receive a second access code from a second device associated with a user identifier, compare the second and first access codes, and lookup an account associated with the user identifier; and a messaging component to retrieve message data for an account associated with the user identifier in response the second access code matching the first access code, and to transmit the message data to the remote web browser for presentation. Other embodiments are described and claimed.

Abstract: Techniques to share application data through a messaging system are described. In one embodiment, an apparatus may comprise a messaging component operative to receive a message package from a messaging service at a messaging client on a client device, the message package addressed from a source messaging account and addressed to a recipient messaging account, the recipient messaging account associated with the messaging client on the client device; extract an application data payload from the message package; receive an application service recommendation package from the messaging service, the application service recommendation package comprising an application service identifier; and an application interoperation component operative to transmit at least a portion of the application data payload to a recommended application service by the messaging client, the recommended application service identified by the application service identifier. Other embodiments are described and claimed.

Abstract: Techniques for mobile device personalization are described. In an embodiment, user credentials for an online service are received at a mobile device kiosk. The user credentials may be authenticated and, upon authentication, user data associated with the user credentials may be transferred to a mobile device of the mobile device kiosk. The user data may be transferred between the mobile device kiosk and a wireless transmitter embedded on a printed circuit board (PCB) of the mobile device. Further, the user data may be transferred to the mobile device without powering on the mobile device. Once the data transfer is complete, the mobile device may be provided to a user.

Abstract: Techniques for managing groups on a mobile platform, comprising a mobile groups application. The mobile groups application including a groups management component to manage at least one group for a corresponding social networking application of a social networking system; and a groups rendering component to render a groups user interface (UI) view comprising at least one selectable group user interface element representative of the at least one group, the at least one selectable group UI element comprising a first selectable group UI element, wherein the first selectable group UI element is representative of a first group of the at least one group and the first group comprises at least one group member.