Abstract: Techniques performed by a data processing system for diagnosing problems with a communications platform include obtaining query parameters including an aggregation operator for invoking a machine learning algorithm configured to analyze performance data for the communications platform, automatically executing the query on the performance data to obtain query results by invoking the machine learning algorithm on the performance data to automatically identify a plurality of clusters of data indicative of a performance problem, and presenting a visualization of the query results. The visualization includes indicators identifying cluster properties for which the query results are further refinable and one or more second indicators identifying the second subset of the second cluster properties which are not relevant for further refining the first query results. The indicators are actuatable to automatically update and re-execute the first query based on the respective indicator that is actuated.

Abstract: Solutions for adapting machine learning (ML) models to neural networks (NNs) include receiving an ML pipeline comprising a plurality of operators; determining operator dependencies within the ML pipeline; determining recognized operators; for each of at least two recognized operators, selecting a corresponding NN module from a translation dictionary; and wiring the selected NN modules in accordance with the operator dependencies to generate a translated NN. Some examples determine a starting operator for translation, which is the earliest recognized operator having parameters. Some examples connect inputs of the translated NN to upstream operators of the ML pipeline that had not been translated. Some examples further tune the translated NN using backpropagation. Some examples determine whether an operator is trainable or non-trainable and flag related parameters accordingly for later training.

Abstract: Methods for synchronizing a source document repository with a target document repository include monitoring documents of the source document repository to detect changes to the documents. A last processed time is stored in association each changed document that indicates a time when the document was last processed. A transaction item is added to a synchronization queue each time a document is changed, and a queue time is stored in association with each of the transaction items that indicates when the transaction item was added to the queue. The transaction items are processed by comparing the queue time of the transaction item with the last processed time of the document pertaining to the transaction item. If the queue time is earlier than the last processed time, the transaction item is ignored.

Abstract: A method for controlling transmission power from one or more radio units is provided including monitoring channel state feedback for a signal communicated between a first radio unit of the one or more radio units and a user device in a transmitted frequency range, wherein the channel state feedback is based at least in part on a metric of quality of the communicated radiofrequency signal, determining that the channel state feedback satisfies a channel state condition, wherein the channel state condition includes a metric to evaluate performance of the one or more radio units relative to the user device based at least on the metric of quality of the communicated signal, and transmitting an instruction to adjust a transmission power in the transmitted frequency range of at least one of the one or more radio units based at least on the satisfaction of the channel state condition.

Abstract: A synchronization adapter is coupled to the application that does not support synchronization and generates the necessary synchronization metadata for all data in the application that is to be synchronized. The synchronization adapter then combines the metadata to the actual data to be synchronized to form a synchronization feed. The synchronization feed is stored in an internal cache (or data store) which is internal to the application, or an external cache (or data store), which is external to the application, or it can be stored in both caches. The synchronization adapter also intermittently determines whether the application data has changed, thus warranting a change in its metadata, or whether a synchronization operation is warranted to synchronization operation is warranted to synchronize the data with data in another application. In either case, the synchronization adapter makes the changes to the data, or performs a synchronization operation.

Abstract: Method and apparatus for generating speech through multilingual neural text-to-speech (TTS) synthesis are provided in the present disclosure. A text input in at least a first language may be received. Speaker latent space information of a target speaker may be provided through a speaker encoder. Language latent space information of a second language may be provided through a language encoder. At least one acoustic feature may be generated, through an acoustic feature predictor, based on the text input, the speaker latent space information and the language latent space information of the second language. A speech waveform corresponding to the text input may be generated, through a neural vocoder, based on the at least one acoustic feature.

Abstract: Techniques of automated interoperation tracking in computing systems are disclosed herein. One example technique includes tokenizing a first event log from a first software component and a second event log from the second software component by calculating frequencies of appearance corresponding to strings in the first and second event logs and selecting, as tokens, a first subset of the strings in the first event log and a second subset of the strings in the second event log individually having calculated frequencies of appearance above a preset frequency threshold. The example technique can also include generating an overall event log for a task executed by both the first and second software components by matching one of the strings in the first subset to another of the strings in the second subset.

Abstract: The present disclosure provides method and apparatus for generating a response in a human-machine conversation. A first sound input may be received in the conversation. A first audio attribute may be extracted from the first sound input, wherein the first audio attribute indicates a first condition of a user. A second sound input may be received in the conversation. A second audio attribute may be extracted from the second sound input, wherein the second audio attribute indicates a second condition of a user. A difference between the second audio attribute and the first audio attribute is determined, wherein the difference indicates a condition change of the user from the first condition to the second condition. A response to the second sound input is generated based at least on the condition change.

Abstract: Systems and methods are provided for automatically generating a fault-enabled software development kit (SDK) to test an application. The generating includes determining one or more faults based on codes associated with the SDK and a frequency of occurrences of faults while executing the SDK. A fault injector automatically injects the determined faults in select layers of code in the SDK and generates fault configuration data associated with the automatically injected faults in the SDK. The fault configuration data describes faults that have been injected in the fault-enabled SDK to test an application. The fault-enabled SDK tests the application without needs for modifying the application code for testing purposes. The fault-enabled SDK further provides types of faults that may be common in using the SDK without requiring application developers to have detailed understanding of internals of the SDK to test the application with simulated faults.

Abstract: Aspects of the present disclosure relate to systems and methods for performing targeted searching based on a user profile. In examples, a user profile including a user embedding may be retrieved based on the receipt of a user indication. The user embedding may be created based on one or more user interest. A plurality of document embeddings may be identified based on the user embedding, where each document embedding of the plurality of document embeddings is determined to be within a first distance of the user embedding. In examples, a ranking for each document embedding of the plurality of document embeddings may be generated, where the ranking for each document embedding of the plurality of document embeddings is based on the user embedding. At least one document may be recommend based on a ranking associated with a document embedding.

Abstract: The present disclosure provides a technical solution related to establishing a characterized chatbot with personality. On one hand, a corpus database matched with a specific character may be established, and a generated regular/conventional response messages may be converted into a characterized response messages with character's features during conversation, so that the conversation style of a chatbot may be characterized with a certain character's features. On the other hand, a chatbot may select a response message with a specific emotion by using an emotion conversation table corresponding to a personality when generating the response message against a content of a conversation input by a user, so that a chatbot may be characterized and have certain personality.

Abstract: A computer implemented method includes accessing a first status of a first battery pack interface coupled to a load via a first load switch and accessing a second status of a second battery pack interface coupled to the load via a second load switch. The first status and the second status are compared and the first and second load switches are controlled based on the comparing to balance remaining capacities of the first and second battery packs.

Abstract: Computer-implemented systems and methods for rendering a visual effect on a graphical element, including: generating an initial visual effect based on the graphical element; computing a mask shape based on the graphical element; generating a mask based on the mask shape from the graphical element; masking the initial visual effect based on the mask to generate a masked visual effect; and combining the masked visual effect with the graphical element into a combined graphical element and visual effect.

Abstract: An environment includes at least two network devices and a plurality of downstream devices or networks. The downstream devices or networks are communicatively coupled to network interfaces of the network devices using a plurality of data cables. The data cables each comprise a switch device configured to switch communication paths to the coupled network devices. Each of the data cables communicatively couple each of the network devices to one of the plurality of downstream devices or networks so that each of the downstream devices or networks has a communications path to each of the network devices and a switchable communications path from each of the network devices. The network devices do not arbitrate active/passive status via direct communication. Based on data contained in a reply packet indicating that a request packet sent by the first network device was acknowledged, the first network device determines that the first network device is an active network device.

Abstract: Failover functionality is by identifying at least two network paths for a media communications session between a virtual machine at a computing environment and a client application. Unique Internet Protocol (IP) addresses are assigned for the at least two network paths. Based on application and network metrics at the computing environment, a network condition at the computing environment is determined that is indicative of a performance degradation of the media communications session. A signal is communicated to the client service indicating a switch to a second path of the at least two network paths and a second of the unique IP addresses.

Abstract: A system level search module receives system level search user interface registration information for an application of the computing device. The registration information includes an indication of how the system level search module can launch the application. The registration information is added to a registration store, and the application is included as one of one or more applications that can be searched using the system level search user interface.

Abstract: Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

Abstract: A method, computer program product, and computing system for selecting a reference audio acquisition device from a plurality of audio acquisition devices of an audio recording system. Audio encounter information of the reference microphone may be encoded, thus defining encoded reference audio encounter information. A plurality of acoustic relative transfer functions between the reference microphone and the plurality of audio acquisition devices of the audio recording system may be generated. The encoded reference audio encounter information and a representation of the plurality of acoustic relative transfer functions may be transmitted.

Abstract: A data processing system is implemented for detecting changes to infrastructure components, and extracting metadata associated with the changes. The data processing system also implements grouping the changes based on the metadata, ranking the groups of changes based on past incidents of service outages, and displaying the ranked groups of changes to a user.

Abstract: The present disclosure provides a technical solution of multi-modal chatting, which may provide response to user query by using multi-modal response in the interaction between chatbot and human beings, so that the expressing ways and the expressed content by the chatbot could be richer by using such response in a multi-modal way.

Abstract: Techniques and systems for enhanced adjustment of quantities and placement of decoupling capacitance on circuit boards for integrated circuits is provided herein. An example method includes iterating application of a load profile across different populations of decoupling capacitors on a circuit board for supply voltage domains of an integrated circuit device until a target transient performance is reached for the supply voltage domains. The load profile is applied onto electrical connections corresponding to the supply voltage domains for the integrated circuit device. The method also includes generating a capacitor population configuration for the circuit board based on a population of the decoupling capacitors that achieves the target transient performance.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: Disclosed herein is a system for minimizing the amount of time it takes to process and understand an unstructured, text-heavy document that includes important security-related information. The system uses a model that implements natural language processing techniques to semantically analyze an unstructured, text-heavy document, in order to identify notable security features useable to resolve the security issues in a more effective and efficient manner (e.g., without the need for a technical security professional). More specifically, the system receives an unstructured document that includes text which may be provided by multiple different security providers. The system is configured to apply the model to various text segments (e.g., a phrase, a sentence, a paragraph, etc.) included in the unstructured document to identify notable security features. The model can then associate the notable security features with a prescribed set of mitigation actions that can be implemented to resolve a security issue.

Abstract: A method of operating a computing device in support of improved accessibility includes displaying a user interface to an application on a display screen of the computing device, wherein the computing device includes an accessibility assistant that reads an audible description of an element of the user interface; initiating, on the computing device, a virtual assistant that conducts an audible conversation between a user and the virtual assistant through at least a microphone and a speaker associated with the computing device, wherein the virtual assistant is not integrated with an operating system of the computing device; inhibiting an ability of the accessibility assistant to read the audible description of the element of the user interface; and upon transition of the virtual assistant from an active state, enabling the ability of the accessibility assistant.

Abstract: Embodiments described herein are directed to intelligently classifying Web trackers in a privacy preserving manner and mitigating the effects of such Web trackers. As users browse the Web and encounter various Web sites, tracker-related metrics are determined. The metrics are obfuscated to protect the privacy of the user. The obfuscated metrics are provided as inputs to a machine learning model, which is configured to output a classification for the Web trackers associated with the Web sites visited by the user. Depending on the classification, the effects of the Web trackers are mitigated by placing restrictions on the Web trackers. The restrictions for a particular Web tracker may be relaxed based on a level of user engagement a user has with respect to the tracker's associated Web site. By doing so, the compatibility risks associated with tracking prevention are mitigated for Web sites that are relatively important to the user.

Abstract: One example provides a computing device configured to capture, via the camera, first image data imaging a first physical world location, create a first spatial representation of the first physical world location based on the first image data, receive a user input defining a pose of a first virtual spatial anchor point relative to a feature imaged in the first image data, track user movement to a second physical world location, capture second image data imaging the second physical world location, receive a user input defining a pose of a second virtual spatial anchor point relative to a feature imaged in the second image data, and send, to a remote computing device, data representing the first spatial representation, the pose of first spatial anchor point, the second spatial representation, the pose of second spatial anchor point, and a positional relationship between first and second spatial anchor points.

Abstract: A computing system is provided, including a processor and memory storing instructions that cause the processor to execute a domain name service (DNS) log analyzer configured to identify a container identifier associated with a DNS request and a destination IP address associated with a DNS response to the DNS request, using one or more DNS logs, a fleet management system record analyzer configured to identify a first service associated with the container identifier and a second service associated with the destination IP address, using one or more fleet management system logs, and a dependency map generator configured to generate a service-to-service dependency map between the identified first service and the identified second service.

Abstract: A computer system is configured to manage a value of a variable via firmware. Managing the value of the variable includes detecting a system management interrupt (SMI), causing the computer system to enter a system management mode, in which a request associated with the SMI is handled by the firmware. In response to determining that the SMI is generated by a baseboard management controller (BMC) and that a cause thereof is associated with reading or writing a value of a variable, one or more parameters associated with the variable are obtained from the BMC. Based on the cause of the request and the one or more parameters, the value of the variable is read or overwritten with a new value. The value or the new value is then sent to the BMC, which in turn passes the value or new value to a second computer system over a network.

Abstract: Implementations are directed to developing and facilitating a data collaboration using a data collaboration tool that bundles data pipelines and governing contracts into a data collaboration app. The data collaboration tool may include an authoring mode and may include an electronic canvas that visually represents all contracts and pipelines of the data collaboration app on a single canvas and visually represents traceability from the contracts to the pipeline elements they enable. A developer may use authoring mode to develop a template app that includes placeholder elements, including a reference to an anonymous placeholder participant. The template app may be shared, and a recipient may invite data collaborators to fill in the placeholder elements and deploy the app, enabling the data collaborators to trigger the data pipelines to execute in a data trustee environment to generate insights from each other's assets without exposing the assets to the collaborators or the developer.

Abstract: A peripheral device, for use with a host, comprises one or more compute elements a security module and at least one encryption unit. The security module is configured to form a trusted execution environment on the peripheral device for processing sensitive data using sensitive code. The sensitive data and sensitive code are provided by a trusted computing entity which is in communication with the host computing device. The at least one encryption unit is configured to encrypt and decrypt data transferred between the trusted execution environment and the trusted computing entity via the host computing device. The security module is configured to compute and send an attestation to the trusted computing entity to attest that the sensitive code is in the trusted execution environment.

Abstract: A system includes a first sense circuit configured to provide a first output representative of sensed current provided by a first battery coupled to a first load. A second sense circuit is configured to provide a second output representative of sensed current provided by a second battery coupled to the first load. An input current controller is coupled to receive the respective first and second outputs and to couple between the second battery and the first load to control the current provided by the second battery.

Abstract: A cross-platform deployment computing system receives an application to be deployed to a cloud. The application is parsed to identify assignment criteria and is assigned to an application availability group the defines security that defines a topology in which the application will be deployed. The application is then provided to a control plane for deployment at a target remote server architecture. In order to deploy the application to a different remote server architecture, the control plane for the different remote server architecture accesses the deployment definitions in the AAG and deploys the application to the different remote server architecture using the deployment definitions in the AAG to which the application is assigned.

Abstract: A program is executed using a call stack and shadow stack. The call stack includes frames having respective return addresses. The frames may also store variables and/or parameters. The shadow stack stores duplicates of the return addresses in the call stack. The call stack and the shadow stack are maintained by, (i) each time a function is called, adding a corresponding stack frame to the call stack and adding a corresponding return address to the shadow stack, and (ii) each time a function is exited, removing a corresponding frame from the call stack and removing a corresponding return address from the shadow stack. A backtrace of the program's current call chain is generated by accessing the return addresses in the shadow stack. The outputted backtrace includes the return addresses from the shadow stack and/or information about the traced functions that is derived from the shadow stack's return addresses.

Abstract: Systems and methods are provided for generating and operating a speech enhancement model optimized for generating noise-suppressed speech outputs for improved human listening and live captioning. A computing system obtains a speech enhancement model trained on a first training dataset to generate noise-suppressed speech outputs and an automatic speech recognition model trained on a second training dataset to generate transcription labels for spoken language utterances. A third training dataset comprising a set of spoken language utterances is applied to the speech enhancement model to obtain a first noise-suppressed speech output which is applied to the automatic speech recognition model to generate a noise-suppressed transcription output for the set of spoken language utterances.

Abstract: A single asynchronous enumerable object is generated that contains the data and methods needed to iterate through an enumerable asynchronously. The asynchronous enumerable object contains the code for traversing the enumerable one step at a time and the operations needed to suspend an iteration to await completion of an asynchronous operation and to resume the iteration upon completion of the asynchronous operation. The allocation of a single object to perform all of these tasks reduces the memory consumption needed to execute an asynchronous enumeration.

Abstract: A computing device includes a first display-supporting frame rotatably coupled to a second display-supporting frame along a hinge axis via a hinge assembly comprising a central spine extending parallel to the hinge axis. A flexible display is supported by the first display-supporting frame and the second display-supporting frame. A spine cover plate extends over the central spine and is moveably coupled to the hinge assembly for translation relative to the central spine as the first display-supporting frame is rotated relative to the second display-supporting frame.

Abstract: A method for friction reduction during professional network expansion is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a remote computing system operated by a user associated with an enterprise and surfacing a professional networking UI on a display of the remote computing system during execution of the enterprise application. The method includes generating parameters that are representative of a connection between the user and each suggested professional contact based on enterprise-level data corresponding to the user and each suggested professional contact and generating friction-reducing UI elements for each suggested professional contact based on the generated parameters.

Abstract: A method for data-driven professional network expansion techniques is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a remote computing system operated by a user associated with an enterprise and surfacing a professional networking UI on a display of the remote computing system during execution of the enterprise application. The method includes accessing enterprise-level data corresponding to the user and the enterprise, extracting parameters associated with the user and the enterprise from the enterprise-level data, and automatically generating, based on the extracted parameters, the user's professional network and a list of suggested professional contacts.

Abstract: A semiconductor-superconductor hybrid device comprises a semiconductor component having first and second terminals, first and second gate electrodes for electrostatically gating the first and second terminals. A second gate electrode electrostatically gates the second terminal, and a superconductor component is configured for energy level hybridisation with the semiconductor component. A method of measuring a non-local conductance of the semiconductor component comprises applying a first gate voltage to the first gate electrode to gate the first terminal to an open regime, applying a second gate voltage to the second gate electrode to gate the second terminal to a tunnelling regime, applying a bias voltage to the first terminal, and while applying the first gate voltage, the second gate voltage, and the bias voltage, measuring a current through the second terminal; with the superconductor component grounded.

Abstract: A data processing system implements scalable, secure, and reliable targeted release (TR) deployments of updates in cloud-based service. The TR deployment framework is provided that solves the technical problem of facilitating deployment of updates to targeted release customers. TR customers are associated with pre-deployment requirements (PDRs) associated with accreditation and/or validation tasks that must be completed before the update may be deployed to the customer base of the TR customers. A subset of the TR customer base is provided with segregated access to complete these accreditation tasks and/or validation tasks before the update is provided to the remainder of the userbase of the TR customer. This approach ensures that the industry standards and/or customer requirements are met before the update is deployed to the entire userbase of the TR customer.

Abstract: A method of training a machine learning model for classification is described. Training data elements to be classified and rules for classification are received. A first content payload, configured to be served by a content delivery system, is generated. The first content payload represents a first training data element and corresponding rules for classification. The first content payload is sent to the content delivery system for classification of the first training data element by users of a plurality of user devices. Classification samples are received for the first training data element based on the first content payload. Classification identifiers that indicate selected classes for the first training data element are generated based on the classification samples. A machine learning model is trained to classify wild data elements according to the rules for classification using the classification identifiers and the first training data element.

Abstract: A TPM with programmable fuses in an SOC includes an on-die RAM storing a blown-fuse count and a TPM state read from off-die NV memory. During initialization, if the blown-fuse count is greater than a TPM state fuse count, a TPM state PIN-attempt-failure count is incremented, thereby thwarting a replay attack. If a PIN satisfies a PIN failure policy, and if a TPM state previously-passed-PIN indicator is set to true, a fuse is blown and the blown-fuse count incremented depending on the PIN being incorrect, but if the TPM state previously-passed-PIN indicator is set to false, a fuse is blown and the blown-fuse count incremented independent of whether the PIN is correct or incorrect. The TPM state fuse count is set equal to the blown-fuse count. If a counter cleared before processing the PIN remains cleared during the next initialization, a fuse voltage cut is detected and a penalty imposed.

Abstract: A method for integrated professional network expansion during employee onboarding is implemented via a computing system including a processor. The method includes executing, via a network, an enterprise application on a first remote computing system operated by an employer associated with an enterprise, as well as causing surfacing of a professional networking UI on a display of the first remote computing system during the execution of the enterprise application. The method also includes receiving, via the professional networking UI surfaced on the display of the first remote computing system, user input including a specification of onboarding parameters for an employee of the enterprise, where the onboarding parameters correspond to one or more professional networking intentions for the employee. The method further includes causing the enterprise application to be executed on a second remote computing system operated by the employee in accordance with the specified onboarding parameters.

Abstract: A wearable computing device, including a device body, an inertial measurement unit (IMU), and a processor. The processor may receive, from the IMU, a plurality of kinematic measurements collected within a time window. With one or more machine learning models, based at least in part on the kinematic measurements, the processor may compute a current velocity estimate for the wearable computing device at a current timestep and a prior velocity estimate for the wearable computing device at a prior timestep. The processor may compute a current pose estimate and a prior pose estimate based at least in part on the current velocity estimate and the prior velocity estimate, respectively. The processor may compute a composite pose estimate for the wearable computing device at the current timestep based on the current pose estimate and the prior pose estimate. The processor may output the composite pose estimate to a target program.

Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: A system and method for loading a user interface (UI) component of a UI screen on an as needed basis is conducted by examining a list of UI components included in the UI screen to identify a UI component having an associated replacement component, the replacement component imitating an appearance of the UI component but offering fewer functionalities than the UI component. The replacement component is then loaded in place of the UI component, before user interactions with the UI screen are examined to determine when the UI component is likely to be used. Responsive to determining that UI component is likely to be used in the near future, the replacement component is replaced with the UI component in the UI screen.

Abstract: An image-processing technique is described herein for removing a visual effect in a face region of an image caused, at least in part, by screen illumination provided by an electronic screen. The technique can perform this removal without advance knowledge of the nature of the screen illumination provided by the electronic screen. The technique improves the quality of the image and also protects the privacy of a user by removing the visual effect in the face region that may reveal the characteristics of display information presented on the electronic screen. In some implementations, the technique first adjusts a face region of the image, and then adjusts other regions in the image for consistency with the face region. In some implementations, the technique is applied by a videoconferencing application, and is performed by a local computing device.

Abstract: Systems and methods for shape prediction for digital inking applications include training a shape prediction model to predict complete shapes based digital ink data defining unfinished shapes. During use, digital ink data representing an unfinished shape is input to a digital inking application and displayed in a canvas area of the application. The digital ink data is also provided to the shape prediction model as input. The shape prediction model generates a shape prediction based on the digital ink data. The shape prediction is displayed in the canvas area. When a second input is received indicating acceptance of the shape prediction, the digital ink forming the unfinished shape is replaced with digital ink forming a predicted complete shape.

Abstract: An operating system service for persistently executing programs comprises a registration service configured to register a manifest defining a persistence mode of a user-controllable program. The operating system service further comprises a runtime service configured, based on the persistence mode defined via the manifest, to detect and reject termination requests for the program, and to detect that the program has terminated and restart execution of the program.

Abstract: An online meeting system begins the process of connecting a user to an online meeting when a request is received from a user to start or join the online meeting. In response to the request, a pre-meeting user interface (UI) is displayed having a user interface control which, when activated, enables transmission of audio and/or video data for the online meeting, and prior to activation of the control, connection parameters are shared with an online meeting service to preheat the meeting. In response to activation of the control, transmission of audio and/or video data for the online meeting is enabled.