Abstract: The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template.

Abstract: Methods, systems and computer program products are provided for improving performance (e.g., reducing power consumption) of a hardware accelerator (e.g., neural processor) comprising hybrid or analog multiply and accumulate (MAC) processing elements (PEs). Selective variation of the precision of an array of MAC PEs may reduce power consumption of a neural processor. Power may be conserved by dynamically controlling the precision of analog to digital (ADC) output bits for one or more MAC PEs. Dynamic control of ADC output bit precision may be based on precision information determined during training and/or post-training (e.g., quantization) of an artificial intelligence (AI) neural network (NN) model implemented by the neural processor. Precision information may include a range of dynamic precision for each of a plurality of nodes of a computation graph for the AI NN model.

Abstract: The disclosure herein describes changing a mode of operation of a computing device using signals from a pen device. The pen device obtains gesture input data from at least one sensor of the pen device and the obtained gesture input data is compared to at least one gesture pattern. Based on the gesture input data matching the at least one gesture pattern, the pen device transitions to an active state. The pen device detects, via an electrostatic communication channel, an uplink signal from the computing device and sends a signal to change a mode of operation of the computing device by at least one of a network interface or a communication channel, other than the electrostatic communication channel. Changing modes of operation of a computing device provides a flexible, stream-lined way to enhance the user experience of using a computing device with a pen device (e.g., performing an initial pairing process).

Abstract: Systems, methods, and devices are described for enabling a user to import a library into a computer program under development. The library includes a data storage interface, one or more semantic objects, and one or more data manipulation or data analysis operations. A user is able to reference code of the library within the computer program under development to generate a dataset from data obtained via the data storage interface and associate the one or more semantic objects with the dataset to generate a semantically-annotated dataset. Systems, methods, and devices enable, based on the importing: the user to invoke a semantic-guided operation of the library that utilizes the semantically-annotated dataset to infer an aspect of a data manipulation or data analysis operation to be performed on the semantically-annotated dataset; or the suggestion of a data manipulation or data analysis operation to the user based on the semantically-annotated dataset.

Abstract: A multi-battery system implements operations to equalize discharge path impedance. The system includes first and second batteries of different capacities each coupled to a battery rail that supports source load electronics. The system includes charge control electronics configured to decouple the first battery from the battery rail when the discharge path of the first battery and the discharge path of the second battery have unequal impedance and to recouple the first battery to the battery rail when the discharge path of the first battery and the discharge path of the second battery have substantially equal impedance.

Abstract: Methods, systems, and computer storage media for providing a multi-attribute cluster-identifier that supports identifying malicious activity in computing environments. An instance of an activity having an attribute set can be assessed. The attribute set of the instance of the activity is analyzed to determine whether the instance of the activity is a malicious activity. The attribute set of the instance of the activity is compared to a plurality of multi-attribute cluster-identifiers of previous instances of the activity, such that, a determination that the instance of the activity is a malicious activity is made when the attribute set of the instance of the activity corresponds to an identified multi-attribute cluster-identifier. The identified multi-attribute cluster-identifier has a risk score and an attribute set that indicate a likelihood that the instance of the activity is a malicious activity. A visualization that identifies the instance of the activity as a malicious activity is generated.

Abstract: A switching network for effecting point-to-point communication between nodes has a time-varying switching configuration, which causes successive activation and deactivation of multiple channels of the switching network, a first of the channels connecting, when activated, a transmitter node and a first receiver node, and a second of the channels connecting, when activated, the transmitter node and a second receiver node.

Abstract: Cryptographically-secured deferral tickets provided by a minting process that runs in a secure enclave on a computing device reset an authenticated watchdog timer that reboots the device from a hardware-protected recovery operating system to re-image the device into a known good state if the timer expires. The deferral tickets are written to a secure channel using a symmetric key that is provisioned by repurposing an existing Intel SGX (Software Guard Extension) Versioning Support protocol that enables migration of secrets between enclaves that have the same author. In an illustrative embodiment, the deferral ticket minting process and authenticated watchdog timer execute locally to enable automated recovery of the computing device when utilized in far edge infrastructure of a fifth generation (5G) network such as a distributed unit (DU) of a radio access network (RAN).

Abstract: The present disclosure relates to selectively analyzing digital content items from a social networking system to generate a searchable graph object that facilitates visualization of correlations between entities of interest (e.g., brands, products, services, companies), concepts (e.g., domain-specific and/or general terms), hashtags, and other output classes. For example, systems described herein involve collecting images and/or videos that are publicly available via a social networking platform and evaluating content and metadata thereof to identify entities of interest therein and predict various concepts therein to generate a graph object that provides a searchable matrix. The systems herein provide a mechanism for processing a graph query that presents a relational graph showing correlations between the query and the various output classes.

Abstract: A tracing coprocessor that records execution trace data based on a cache coherency protocol (CCP) message. The tracing coprocessor comprises logic that causes the tracing coprocessor to listen on a bus that is communicatively coupled to a primary processor that executes executable code instructions. The logic also causes the tracing coprocessor to, based on listening on the bus, identify at least one CCP message relating to activity at a processor cache. The logic also causes the tracing coprocessor to identify, from the at least one CCP message, a memory cell consumption by the primary processor. The logic also causes the tracing coprocessor to initiate logging, into an execution trace, at least a memory cell data value consumed by the primary processor in connection with execution of at least one executable code instruction.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: Examples of the present disclosure describe systems and methods for multichannel audio speech classification. In examples, an audio signal comprising multiple audio channels is received at a processing device. Each of the audio channels in the audio signal is transcoded to a predefined audio format. For each of the transcoded audio channels, an average power value is calculated for one or more data windows in the audio signal. A correlation value is calculated between the average power value for each audio channel and the combined average power value of the other audio channels in the audio signal. Each of the correlation values (or an aggregated correlation value for the audio channels) is then compared against a threshold value to determine whether the audio signal is to be classified as a speech-based communication. Based on the classification, an action associated with the audio signal may be performed.

Abstract: A method for text compression comprises recognizing a prefix string of one or more text characters preceding a target string of a plurality of text characters to be compressed. The prefix string is provided to a natural language generation (NLG) model configured to output one or more predicted continuations each having an associated rank. If the one or more predicted continuations include a matching predicted continuation relative to the next one or more text characters of the target string, the next one or more text characters are compressed as an NLG-type compressed representation. If no predicted continuations match the next one or more text characters of the target string, a longest matching entry in a compression dictionary is identified. The next one or more text characters of the target string are compressed as a dictionary-type compressed representation that includes the dictionary index value of the longest matching entry.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Abstract: According to examples, a processor may receive data pertaining to a communication sent over a network by a device, extract a set of characteristics associated with the communication from the received data, and determine whether the extracted set of characteristics meets a predefined similarity threshold with respect to a previously identified set of characteristics, in which the previously identified set of characteristics is assigned with a certain device type. The processor may also, based on a determination that the extracted set of characteristics meets the predefined similarity threshold with respect to the previously identified set of characteristics, assign the device with the certain device type.

Abstract: Systems and methods are provided for training a data model based on training data. The training includes pre-training and fine-tuning the data model based on a combination of an autoregressive (AR) model and a non-autoregressive (NAR) model. Training data may be received and encoded into streams of tokens. A pre-trainer during decoding generates a continuum of data structures of the AR and NAR combined model including a main stream and a series of predicting streams. Masked tokens in predicting streams reference or attend to one or more preceding tokens in the main stream or the preceding predicting streams. A fine-tuner selects streams to generate a trained model according to a target data model. The target data model is determined based on balancing an accuracy constraint and an efficiency constraint for predicting tokens. The decoder acts as abridge between the AR and NAR models in generating a trained data model.

Abstract: A system and method and for searching for an element in and replacement a portion of a video is conducted by retrieving the video and generating a video index for the video, the video index indexing a plurality of elements of the video such as text, audio and video. To search in the vide, a search query is received that includes at least one of a text element, an audio element, an image element, or a video element. Features and embeddings are extracted from the search query before comparing the search query features with the video index to identify a portion of the video that includes one of the text element, audio element, image element or video element of the search query. The identified portion is then automatically replaced with a replacement portion to generate a revised video.

Abstract: A computing system including a classical computing device, including a processor that generates a Haar-random unitary matrix. The processor further computes a single-particle-basis fermion rotation based at least in part on the Haar-random unitary matrix and outputs the single-particle-basis fermion rotation to a quantum computing device. The quantum computing device receives a specification of a fermion wavefunction and further receives the single-particle-basis fermion rotation. The quantum computing device further applies the single-particle-basis fermion rotation to the fermion wavefunction. The quantum computing device further measures the rotated fermion wavefunction to obtain a classical shadow measurement result. The processor of the classical computing device further receives the classical shadow measurement result.

Abstract: A server system is provided that includes one or more processors configured to execute a platform for an online multi-user chat service that communicates with a plurality of client devices of users of the online multi-user chat service that exchanges user chat data between the plurality of client devices. The one or more processors are configured to execute a user chat filtering program that performs filter actions for user chat data exchanged on the platform for the online multi-user chat service. The user chat filtering program includes a plurality of trained machine learning models and a filter decision service that determines a filter action to be performed for target portions of user chat data based on output of the plurality of trained machine learning models for those target portions of user chat data.

Abstract: This document relates to training of machine learning models. One example method involves providing a machine learning model having a first classification layer, a second classification layer, and an encoder that feeds into the first classification layer and the second classification layer. The example method also involves obtaining first training examples having explicit labels and second training examples having inferred labels. The inferred labels are based at least on actions associated with the second training examples. The example method also involves training the machine learning model using the first training examples and the second training examples using a training objective that considers first training loss of the first classification layer for the explicit labels and second training loss of the second classification layer for the inferred labels. The method also involves outputting a trained machine learning model having the encoder and the first classification layer.

Abstract: A computing device, including a processor configured to perform data transfer scheduling for a hardware accelerator including a plurality of processing areas. Performing data transfer scheduling may include receiving a plurality of data transfer instructions that encode requests to transfer data to respective processing areas. Performing data transfer scheduling may further include identifying a plurality of transfer path conflicts between the data transfer instructions. Performing data transfer scheduling may further include sorting the data transfer instructions into a plurality of transfer instruction subsets. Within each transfer instruction subset, none of the data transfer instructions have transfer path conflicts. For each transfer instruction subset, performing data transfer scheduling may further include conveying the data transfer instructions included in that transfer instruction subset to the hardware accelerator.

Abstract: Innovations in phase quantization during speech encoding and phase reconstruction during speech decoding are described. For example, to encode a set of phase values, a speech encoder omits higher-frequency phase values and/or represents at least some of the phase values as a weighted sum of basis functions. Or, as another example, to decode a set of phase values, a speech decoder reconstructs at least some of the phase values using a weighted sum of basis functions and/or reconstructs lower-frequency phase values then uses at least some of the lower-frequency phase values to synthesize higher-frequency phase values. In many cases, the innovations improve the performance of a speech codec in low bitrate scenarios, even when encoded data is delivered over a network that suffers from insufficient bandwidth or transmission quality problems.

Abstract: An application is installed on a computing device from an application package. An origin of the application (e.g., a managed installer for an enterprise, a reputation checking service) is propagated to files written to a storage device of the computing device as part of the installation, such as by writing origin information to the storage device as metadata associated with the file. The origin information for a file, in conjunction with a policy on the computing device specifying one or more trusted origins for applications on the computing device, is used to identify whether a particular action can be taken with and/or by the file. These actions can include, for example, execution of an application from an executable file. If the origin information for a file indicates an origin that is a trusted origin specified by the policy, then the action can be performed.

Abstract: A method for multi-intent searching includes surfacing, via a web browser provided through a network, a search engine UI in a first browser tab, where the search engine UI includes a search box for specifying a search query. The method includes, responsive to user input, entering keystrokes into the search box, surfacing an autocomplete menu adjacent to the search box, and populating the autocomplete menu with suggested search queries related to the entered keystrokes. The method also includes surfacing a pop-out icon corresponding to each suggested search query within the autocomplete menu and, responsive to additional user input including a selection of the pop-out icon corresponding to one of the suggested search queries, launching a second browser tab including search results for the suggested search query, where the autocomplete menu with the suggested search queries is maintained within the first browser tab after the launching of the second browser tab.

Abstract: Techniques are disclosed for deploying functions in a cloud computing environment. Parameters are annotated in a plurality of Helm charts with a predetermined token. Duplicated values in the Helm charts are identified and the predetermined token is reused for the duplicated values. Schema files from the plurality of Helm charts are parsed to extract the predetermined tokens. Input data are received as values for the predetermined tokens. The function is deployed in the cloud computing environment using the values for the predetermined tokens as parameters in the Helm charts.

Abstract: Various technologies described herein pertain to automated data splitting using predictive program synthesis. Input-only examples for splitting an input column of an input data set can be received. The input-only examples can include example entries from the input column of the input data set to be split into multiple output columns without specification of how the example entries are to be split into multiple output columns. Further, a program for splitting the input column of the input data set into the multiple output columns can be synthesized based on the input-only examples. The program can be synthesized, given the input-only examples, in a domain-specific language (DSL) for splitting an entry into a tuple of fields utilizing a predictive program synthesis algorithm. Moreover, the program can be executed on the input data set to split the input column of the input data set into the multiple output columns.

Abstract: Individual clock adjustments between electronic devices are typically based around a round-trip time (RTT) measurement of the reference message between initiating and the receiving devices. With increasing expectations of clock synchronization accuracy, as well as widespread use of wireless data networks, the presently disclosed technology provides a dedicated clock synchronization network that yields a fixed delay between hops and within associated devices of a dedicated clock synchronization network. By accounting for the known delays between hops and within associated devices of the dedicated clock synchronization network, better clock synchronization accuracy can be achieved than prior art techniques that estimate latency based on an RTT measurement.

Abstract: Embodiments of the present disclosure include systems and methods for training transformer models using position masking. In some embodiments, a set of data for training a transformer model is received. The set of data includes a sequence of tokens and a set of position values. Each position value in the set of position values represents a position of a token in the sequence of tokens relative to other tokens in the sequence of tokens. A subset of the set of position values in the set of data is selected. Each position value in the subset of the set of position values is replaced with a second defined value to form a second set of defined values. The transformer model is trained using the set of data.

Abstract: Embodiments described herein enable a browser to display content of a web page that is incompatible therewith. When such a page is to be traversed, the first browser causes a virtual machine that executes an instance of a second browser with which the page is compatible to be instantiated. The browsers communicate via communication channels utilized to share information therebetween. For instance, the first browser provides a URL of the page to the second browser for traversal thereby. Graphics information corresponding to the page is provided to the first browser. The first browser generates an image corresponding to the page based on the graphics information and renders the image in a tab of the first browser. This enables a visual experience for the user where it appears that the page is being rendered by the first browser when it is in fact being rendered by the second browser.

Abstract: A method of thermal and power control in a computing device includes, at the computing device, initializing a thermal module of the computing device, receiving data at the thermal module from a first component assigned to an interface of the thermal module, and sending an output to a second component from the thermal module based on the data. Initializing the thermal module includes detecting a presence of a plurality of potential components of the computing device; querying each of the plurality of potential components to determine capabilities of each component; in response to the querying, for each of at least a subset of the plurality of potential components receiving identification information for the component and, based on the received identification information, configuring one or more interfaces of the plurality of predefined interfaces of the thermal module to establish communication with the subset of components.

Abstract: Systems, methods, and software are disclosed herein that allow multiple values to be stored and referenced individually in a spreadsheet or table cell. In an implementation, an application identifies a format of a cell in a spreadsheet with a format having multiple data points. The application receives multiple values corresponding to the multiple data points and stores each value of the multiple values in the cell as a separately referenceable value with respect to each other value of the multiple values. In some implementations, formulas in other cells or sub-routines can reference an individual one of the values in the cell.

Abstract: In one method, device data including an orientation of a targeting device is received in a computing system. Target coordinates of the targeting device as projected onto a field-of-view of a display device are then located based on the device data. Pursuant to locating the target coordinates within a predefined margin, a target graphic indicating the target coordinates is superposed onto the field-of-view. Pursuant to locating the target coordinates outside of the predefined margin, an off-target graphic is superposed onto the field-of-view and aligned to a display perimeter of the display device.

Abstract: Systems and methods for generating a shared collaborative channel for collaboration are provided. In particular, a computing device may receive a request, from an originating member of an organization, to create the shared collaborative channel, the request including an invitee to be added to the shared collaborative channel. In response to receipt of the request, the computing device may provision a substrate group by creating a container associate with the shared collaborative channel including a substrate database associated with the shared collaborative channel, generate an invitation including a custom link to the shared collaborative channel for the invitee, and determine whether the invitee belongs to an originating collaboration team associated with the originating member based on the substrate database. If the invitee belongs to the originating collaboration team, the computing device may further update the substrate group to add the invitee as a new member of the shared collaborative channel.

Abstract: In various examples there is a session border controller, SBC, connected between two communications networks. The SBC comprises a store holding statistics of events in the networks. The SBC also has an ingress receiving messages from the first communications network, the ingress having a memory storing an ingress message manipulation function MMF comprising a plurality of rules. The SBC has a session border controller processing unit connected to the ingress and receiving the messages from the ingress. The SBC has an egress connected to the session border controller processing unit, the egress receiving the messages from the session border controller processing unit and forwarding the messages, to the second communications network, the egress having a memory storing an egress message manipulation function MMF comprising a plurality of rules. At least some of the rules of the ingress MMF or egress MMF are for computing and storing the statistics.

Abstract: The description relates to hinged devices, such as hinged computing devices. One example can include a first portion having a first display surrounded by a first bezel and a second portion having a second display surrounded by a second bezel. A hinge assembly can rotatably secure the first and second portions. The hinge assembly can include a first friction band that is secured to the first portion and is friction fit around a first hinge shaft, and a second friction band that is secured to the second portion and is friction fit around a second hinge shaft. The first friction band and the first hinge shaft are located entirely within the first bezel and do not underly the first display, and the second friction band and the second hinge shaft are located entirely within the second bezel and do not underly the second display.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for selectively identifying image frames from an input video to provide to an image processing model based on camera statistics. For example, systems disclosed herein include receiving an input video and associated camera statistics from a video capturing device. The systems disclosed herein further include identifying select image frames to provide to the image processing model based on the camera statistics and based on an application of the image processing model. The systems disclosed herein further include selectively identifying and providing camera statistics to the image processing model. By selectively providing data to the image processing model based on camera statistics, the systems disclosed herein can leverage capabilities of video capturing devices to significantly reduce the expense of processing resources when utilizing a variety of image processing models.

Abstract: An email ranking system assigns scores to emails of a user based on actions that other recipients of the emails have taken with respect to the emails. In determining the scores, the email ranking system may weight each recipient's action based on how closely connected the recipient is to the user and a type of connection the recipient has to the user. Each email's score may represent a likelihood that the email contains content that is important to the user. A client device may display the user's emails based on the scores. The client device may list the emails in descending order based on the scores, enabling the user to prioritize review of emails that are more likely to be important to the user. In this way, the email ranking system improves the client device by helping the user more quickly identify important emails.

Abstract: A stylus includes an elongated housing, a tip extending from a first end of the elongated housing and a tri-axial force sensor mounted on a second end. A first wireless transmitter transmits a signal via the tip based on which the tip interacts with a digitizer sensor of a touch screen. The tri-axial force sensor senses contact force applied by a user pressing against the tri-axial sensor. A second wireless transmitter transmits output sensed by the tri-axial force sensor. The stylus further includes a controller that controls transmission of the first wireless transmitter and the second wireless transmitter.

Abstract: A native restart controller restarts services in a controlled manner. The services run in a cloud computing environment comprising a plurality of computing devices executing a plurality of Kubernetes pods comprising one or more containers. An indication is received of a deployment defining a service to be implemented in the cloud computing environment, the deployment including a desired number of instances of the service. An API is instantiated that is operable to provide a first state indicative of whether restarts are to be controlled by the restart controller and a second state indicating that a restart is required. In response to receiving an indication that restarts for the cluster are to be controlled by the restart controller and that a restart is required, the instances are restarted in a sequence in accordance with restart criteria associated with the service.

Abstract: A computing component is described. The computing component includes a cosmetic prefabricated sheet of material. In some embodiments, the cosmetic prefabricated sheet of material may have a cosmetic surface and a protrusion surface. The computing component includes a protrusion extending from the protrusion surface of the cosmetic prefabricated sheet of material. In some embodiments, the cosmetic surface of the cosmetic prefabricated sheet of material is uniform in appearance to the naked eye. In some embodiments, the protrusion may have a base and an end. The base may have a cross-sectional width and the end may have a cross-sectional width. A difference in the cross-sectional width of the base and the cross-sectional width of the end may be less than 250 microns.

Abstract: The techniques disclosed herein provide controlled user interface transitions for private breakout communication sessions. A system provides a Together Mode user interface that gives participants of a communication session a feeling that they are in the same room. When a person joins a communication session, a system uses a seating policy to determine a location of that user. That user is placed near or next to a select user meeting one or more conditions. If a number of people join the communication session, each person is ranked according to an organizational chart and each person is positioned and ordered relative to the select user according to each person's rank. The system configures the updated user interface arrangement to maintain the position of the select group of the participants.

Abstract: The present disclosure provides systems and methods for user interaction and task completion using multiple devices. A set of devices may be used to perform a task, such that different devices may perform different steps of the task. A device management service may update state information at each device of the set, thereby enabling a user to interact with any of the computing devices to perform the task. A device management service may also automatically determine which device should be used by the user, based on task or step requirements, device characteristics, and device capabilities, among other examples. Thus, rather than being required to continue a task on the same device (even when the device is not well-suited for the current step or task), the user is provided with the option to use and, in some instances, is automatically transitioned to use, different devices within the set.

Abstract: Example solutions for video frame action detection use a gated history and include: receiving a video stream comprising a plurality of video frames; grouping the plurality of video frames into a set of present video frames and a set of historical video frames, the set of present video frames comprising a current video frame; determining a set of attention weights for the set of historical video frames, the set of attention weights indicating how informative a video frame is for predicting action in the current video frame; weighting the set of historical video frames with the set of attention weights to produce a set of weighted historical video frames; and based on at least the set of weighted historical video frames and the set of present video frames, generating an action prediction for the current video frame.

Abstract: A method of capturing video and audio information includes, at a server computer, determining a capture group that includes at least a first client device and a second client device. The method further includes receiving a group capture request and transmitting an individual capture request to at least the second client device. The method further includes receiving a first individual capture from the first client device and a second individual capture from the second client device, associating the first individual capture with the second individual capture in a group capture, and providing access to the group capture to at least one of the first client device and the second client device.

Abstract: A computer system is configured to profile a program during an execution of the program. Profiling the program includes obtaining, by a first profiler, a first set of information associated with the execution of the program, and obtaining a second set of information associated with one or more executions of the function. The second set of information includes at least a call count or an execution time of each of the one or more executions of the function. The computer system then identifies a subset of the first set of information that is associated with the one or more executions of the function, and creates aggregate information based on the subset of the first set of information and the second set of information. The aggregated information is then reported.

Abstract: Embodiments described herein are directed to transferring the ownership of a computing device from one entity to another entity. For example, a security processor is utilized to boot the computing device. During a boot session, the security processor loads and executes boot code, which determines whether specialized firmware authorized by the current owner indicates whether a transfer of ownership is to occur. In response to determining that the specialized firmware indicates that a transfer of ownership is to occur, the secure processor loads and executes the specialized firmware. The specialized firmware, when executed, causes the security processor to program a set of fuses with the public key of the new owner. Execution of the specialized firmware also causes the security processor to invalidate the public key of the original owner, which is stored in another set of fuses.

Abstract: Semantic zoom techniques are described. In one or more implementations, techniques are described that may be utilized by a user to navigate to content of interest. These techniques may also include a variety of different features, such as to support semantic swaps and zooming “in” and “out.” These techniques may also include a variety of different input features, such as to support gestures, cursor-control device, and keyboard inputs. A variety of other features are also supported as further described in the detailed description and figures.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for enabling real-time gestures on shared canvases are presented. A shared object service may be associated with a plurality of shared objects. A plurality of user accounts and/or client devices may be granted access to a shared object. Each client device that accesses the shared object may store a distributed data structure locally that corresponds to the shared object. When client devices perform operations associated with the shared object the operations are logged by the shared object service and timestamped. Those operations are then reported to the client devices, where cursor movements can be rendered in real time. If cursor movements and/or user input device operations associated with a cursor meet conditions for a gesture operation the cursor may be transformed to a gesture/animation and rendered on canvases of each connected client device.