Abstract: Innovations in the area of prediction of block vector (“By”) values improve encoding or decoding of blocks using intra block copy (“BC”) prediction. For example, some of the innovations relate to use of a default BV predictor with a non-zero value. Other innovations relate to use of a selected one of multiple BV predictor candidates for a current block. Still other innovations relate to use of a skip mode in which a current intra-BC-predicted block uses a predicted BV value.

Abstract: Systems and methods for deploying dependent updates include mechanisms for requiring that dependency information be provided for each update so that dependent updates may be identified. Update dependencies are tracked so that dependent updates are not deployed until parent updates have been completed. Deployment sequencing is implemented on top of existing asynchronous deployment policies so that asynchronous workflow remains intact and unaltered. The asynchronous workflow is upgraded to a synchronous (i.e., sequential) workflow for updates having dependencies to ensure that updates having dependencies are applied in the correct order.

Abstract: Systems and methods for clustering metrics for reducing a search space of metrics used for service health analyses. Determining a root cause of an event includes performing an automated analysis of metrics associated with the service. To diagnose and resolve events quickly and efficiently, aspects correlate and cluster a plurality of metrics for a specific service based on historical data, where each cluster represents a root cause direction. After clustering metrics by similarity, metrics are scored and ranked to select representative metrics from each cluster, which reduces the dimensionality of the search space. The representative metrics may provide a saliant representation of each metrics cluster. The representative metrics are provided to a service health analyzer, which performs a root cause analysis of the representative metrics to diagnose and mitigate the event.

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: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A system for generating a user interface described herein can include a processor to detect a type of the system based on hardware components residing within the system or coupled to the system and determine a user interface manager to execute based on the type of the system. The processor can also execute the user interface manager to generate a user interface for the system, wherein the type of the user interface manager comprises a plurality of rules to indicate a layout of the user interface.

Abstract: This document relates to automated generation of machine learning models, such as neural networks. One example method involves obtaining a first machine learning model having one or more first inference operations. The example method also involves identifying a plurality of second inference operations that are supported by an inference hardware architecture. The example method also involves generating second machine learning models by modifying the first machine learning model to include individual second inference operations that are supported by the inference hardware architecture. The example method also involves selecting a final machine learning model from the second machine learning models based on one or more metrics.

Abstract: A method for computer question answering includes, at a retriever subsystem of a question answering computer system, identifying a plurality of relevant text evidence strings for an input text question. At a linker subsystem of the question answering computer system, one or more of the plurality of relevant text evidence strings are associated with a respective secondary text evidence string to form a plurality of evidence chains via a previously-trained entity-linking machine-learning model. At a chainer subsystem of the question answering computer system, a ranked set of the evidence chains is identified based at least in part on an output of a generative machine-learning model applied to each of the plurality of evidence chains. At a reader subsystem of the question answering computer system, an answer to the input text question is output based at least in part on the ranked set of evidence chains.

Abstract: A method for automatically improving the legibility of text within graphic designs is implemented via a computing system including a processor. The method includes executing a graphics application and causing surfacing of a graphic design GUI on a display. The method includes generating a templatized image including text responsive to the user-initiated insertion of a desired image into a design template surfaced via the graphic design GUI. The method also includes assigning a legibility score to the text within the templatized image and, responsive to a determination that the legibility score is less than a predetermined threshold, generating a bounding box around the text area. The method further includes generating an improved templatized image with improved text legibility by selectively blurring the image portion that falls within the bounding box, as well as causing surfacing of the second templatized image via the graphic design GUI.

Abstract: The disclosure derives insight from telemetry data by receiving telemetry data; parsing the received telemetry data to identify properties, and mapping the identified properties to a set of identified tags based at least on a tag library. Based at least on the mapping, the disclosure generates insight data and a report for the telemetry data. In this manner, the disclosure adds structure to data, thereby providing semantic meaning to internet of things (IoT) telemetry data, regardless of the device class or manufacturer. This, in turn, automatically creates applicable insights. Insights are available with a core tag taxonomy, which can be extended and customized. By applying the tags, a user obtains immediate insights related to usage, performance, and health of a monitored product or service.

Abstract: Examples of the present disclosure describe systems and methods for migrating mailbox identities. In aspects, a system may receive one or more requests to perform tasks for migrating identities of a plurality of mailboxes included in a security group created at a source tenant to a plurality of mail users created at a target tenant that correspond to the plurality of mailboxes. Based on the one or more requests, the system may copy the identities to a data store associated with the target tenant, upload mapping data to the data store, and use that mapping data to map the identities copied to the data store to the corresponding plurality of mail users in the target tenant. For each of the identities mapped, the system may copy at least one or more attributes of the respective identity from the data store to the respective corresponding mail user in the target tenant.

Abstract: A system, method and computer-readable storage device provides an improved speech processing approach in which hyper parameters used for speech recognition are modified dynamically or in batch mode rather than fixed statically. The method includes estimating, via a model trained on audio data and/or metadata, a set of parameters useful for performing automatic speech recognition, receiving speech at an automatic speech recognition system, applying, by the automatic speech recognition system, the set of parameters to processing the speech to yield text and outputting the text from the automatic speech recognition system.

Abstract: Systems and methods are provided for offloading a task from a central processor in a radio access network (RAN) server to one or more heterogeneous accelerators. For example, a task associated with one or more operational partitions (or a service application) associated with processing data traffic in the RAN is dynamically allocated for offloading from the central processor based on workload status information. One or more accelerators are dynamically allocated for executing the task, where the accelerators may be heterogeneous and my not comprise pre-programming for executing the task. The disclosed technology further enables generating specific application programs for execution on the respective heterogeneous accelerators based on a single set of program instructions.

Abstract: Examples described in this disclosure relate to gating a semiconductor layer into a quantum spin Hall insulator state, Certain examples further relate to using quantum spin Hall insulators as topological quantum qubits. Quantum spin Hall systems may rely upon the quantum spin Hall effect by causing a state of a matter to change from a certain phase to an inverted bandgap phase. In one example, the present disclosure relates to a device including a semiconductor layer comprising an active material. The device further includes a gate coupled to the semiconductor layer, where the semiconductor layer is operable in a quantum spin Hall insulator state by using electrons and holes from the active material in response to an application of an electric field to the semiconductor layer via the gate.

Abstract: A payload is generated by a build computing system. The payload includes payload identifying metadata and deployment target identifier metadata, as well as an application container that includes a set of signed binaries. The payload can be approved for deployment, and a token can be generated for the payload. The token may include a set of claims that include payload identifying information. A payload validation system validates the payload for deployment to a target environment using the payload identifying information.

Abstract: A gaze detection assembly comprises a plurality of infrared (IR) light emitters configured to emit IR light toward a user eye and an IR camera configured to sequentially capture IR images of the user eye. A controller is configured to, during a reference frame, control the plurality of IR light emitters to emit IR light toward the user eye with a reference intensity distribution. During the reference frame, an IR image is captured depicting a first glint distribution on the user eye. Based at least in part on the first glint distribution, during a subsequent frame, the plurality of IR light emitters are controlled to emit IR light toward the user eye with a subsequent intensity distribution, different than the reference intensity distribution. During the subsequent frame, a second IR image is captured depicting a second glint distribution on the user eye.

Abstract: Techniques for generating a high resolution full color output image from lower resolution sparse color input images are disclosed. A camera generates images. The camera's sensor has a sparse Bayer pattern. While the camera is generating the images, IMU data for each image is acquired. The IMU data indicates a corresponding pose the camera was in while the camera generated each image. The images and IMU data are fed into a motion model, which performs temporal filtering on the images and uses the IMU data to generate a red-only image, a green-only image, a blue-only image, and a monochrome image. The color images are up-sampled to match the resolution of the monochrome image. A high resolution output color image is generated by combining the up-sampled images and the monochrome image.

Abstract: A training-stage technique trains a language model for use in an ASR system. The technique includes: obtaining a training corpus that includes a sequence of terms; determining that an original term in the training corpus is not present in a dictionary resource; segmenting the original term into two or more sub-terms using a segmentation resource; determining that the segmentation of the original term into the two or more sub-terms is a valid segmentation, based on two or more validity tests; and training the language model based on the terms that have been identified. A computer-implemented inference-stage technique applies the language model to produce ASR output results. The inference-stage technique merges a sub-term with a preceding term if these two terms are separated by no more than a prescribed interval of time.

Abstract: A computing device is provided, including a plurality of memory devices, a plurality of direct memory access (DMA) controllers, and an on-chip interconnect. The on-chip interconnect may be configured to implement control logic to convey a read request from a primary DMA controller of the plurality of DMA controllers to a source memory device of the plurality of memory devices. The on-chip interconnect may be further configured to implement the control logic to convey a read response from the source memory device to the primary DMA controller and one or more secondary DMA controllers of the plurality of DMA controllers.

Abstract: Embodiments detect risky situations in which a domain name record remains viable after the target it identified is not. Such dangling records create various risks because substitute targets, such as fraudulent websites, may be installed without the knowledge of the original target's owner. By obtaining and correlating data from multiple tenants, a cloud service provider detects dangling structures and any attempts to exploit them. Dangling records may specify a custom domain name, for example, or a static IP address that can be misused. In response, the provider's security infrastructure can alert the original target's owner, block the attempted exploit, or otherwise mitigate the risks. Traffic monitoring, control plane API invocations, and domain name server queries may be employed by the security infrastructure to detect resource deletion, resource creation, and resource access attempts that correspond with vulnerable records or suspect activity involving them.