Abstract: According to examples, an apparatus may include a processor that may determine that an application was accessed through a portal. Based on a determination that the application was accessed through the portal, the processor may determine whether a first credential type or a second credential type was supplied to access the application, in which the first credential type may include a set of personal credentials of a user and the second credential type may include a set of single sign-on credentials that the user may use to access multiple applications. The processor may also output a trace that may indicate an identification of the application that was accessed and the type of the credential supplied to access the application, in which a backed entity may analyze the data included in the trace.

Abstract: Non-transform blocks of video content may be coded by selectively changing a scanning order. In some implementations, an encoder or decoder may perform a scanning process on a block according to a scanning order. When the block has not been transformed, the encoder or decoder may selectively change the scanning order to a different order. For example, if the block is associated with a particular type of prediction, the scanning order may be changed to a different order. In another example, if the non-transform block has a size that is smaller than a predetermined size, the scanning order may be changed to a different order.

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: Systems and methods disclosed herein are related to an intelligent UI element selection system using eye-gaze technology. In some example aspects, a UI element selection zone may be determined. The selection zone may be defined as an area surrounding a boundary of the UI element. Gaze input may be received and the gaze input may be compared with the selection zone to determine an intent of the user. The gaze input may comprise one or more gaze locations. Each gaze location may be assigned a value according to its proximity to the UI element and/or its relation to the UI element's selection zone. Each UI element may be assigned a threshold. If the aggregated value of gaze input is equal to or greater than the threshold for the UI element, then the UI element may be selected.

Abstract: Apparatus and methods for training a neural network accelerator using quantized precision data formats are disclosed, and in particular for storing activation values from a neural network in a compressed format having lossy or non-uniform mantissas for use during forward and backward propagation training of the neural network. In certain examples of the disclosed technology, a computing system includes processors, memory, and a compressor in communication with the memory. The computing system is configured to perform forward propagation for a layer of a neural network to produced first activation values in a first block floating-point format. In some examples, activation values generated by forward propagation are converted by the compressor to a second block floating-point format having a non-uniform and/or lossy mantissa. The compressed activation values are stored in the memory, where they can be retrieved for use during back propagation.

Abstract: A computing device is provided, including one or more processing devices, one or more temperature sensors, a fan, and a fan tachometer. The one or more processing devices may be configured to execute an application program. While executing the application program, the one or more processing devices may be further configured to collect performance data including temperature data received from the one or more temperature sensors and fan speed data received from the fan tachometer. The one or more processing devices may be further configured to generate a fan control signal at least in part by applying a machine learning model to the performance data. The one or more processing devices may be further configured to control the fan according to the fan control signal.

Abstract: A data processing system implements training a first convolutional neural network (CNN) to classify shapes in digital ink inputs, the first CNN being trained to receive ink stroke information as an input and to output an indication whether the ink stroke information represents a hand drawn geometric shape. The data processing system further implements compressing the first CNN to generate a second CNN capable of being operated on a resource-constrained computing device lacking sufficient computing resources to operate an instance of the first CNN and installing the second CNN on the resource-constrained computing device to process ink stroke information captured by a user interface of the computing device.

Abstract: A display assembly includes a display layer with a plurality of display elements to provide display light and form a display image. A first subset of display elements is used while the display assembly is operating in a full visibility mode, and a second subset of display elements is used while the display assembly is operating in a restricted visibility mode. A touch-sensitive layer includes a plurality of conductive traces disposed proximate to the display layer. The plurality of conductive traces are shaped and positioned to block a first portion of the display light while the display assembly is operating in the full visibility mode, and block a second, greater portion of the display light while the display assembly is operating in the restricted visibility mode. A visibility controller is used to switch the display assembly between the full visibility mode and the restricted visibility mode.

Abstract: Embodiments of the system in include a method of clustering data sets based on the data set characteristics. A data repository stores a plurality of heterogeneous data sets. For a selected group of data sets (i) obtaining metadata; (ii) identifying upstream data sets; and (iii) extracting semantic features. The method further comprises clustering the plurality of data sets into one or more clusters based on similarity, wherein the similarity is determined based on a combination of the metadata, the upstream data sets, and the semantic features of the selected data sets. In one embodiment, the data sets are ranked within each cluster based on data set quality. The method enables the presenting of at least one cluster including one or more ranked data sets in response to a search query.

Abstract: The description relates to enhancing computer performance, such as by decreasing latency associated with storage operations. One example can include recoverable processes. Each recoverable process can be configured to periodically write log records to individual storage partitions. Each log record includes a vector timestamp that describes the processes' dependencies on log records of other recoverable processes.

Abstract: Disclosed herein are exemplary embodiments of methods, apparatus, and systems for performing content-adaptive deblocking to improve the visual quality of video images compressed using block-based motion-predictive video coding. For instance, in certain embodiments of the disclosed technology, edge information is obtained using global orientation energy edge detection (“OEED”) techniques on an initially deblocked image. OEED detection can provide a robust partition of local directional features (“LDFs”). For a local directional feature detected in the partition, a directional deblocking filter having an orientation corresponding to the orientation of the LDF can be used. The selected filter can have a filter orientation and activation thresholds that better preserve image details while reducing blocking artifacts. In certain embodiments, for a consecutive non-LDF region, extra smoothing can be imposed to suppress the visually severe blocking artifacts.

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 receive a request for result data from a requestor and determine queries to create the result data. The processor may determine a subset of a data set based on the queries. The subset of the data set may be displayed in small multiples by the requestor. The processor may output the subset of the data set as the result data to the requestor. In some examples, the processor may receive a request for additional result data from the requestor. The processor may determine a second subset of the data set to be displayed in the small multiples and output the second subset of the data set as the additional result data to the requestor.

Abstract: An apparatus and method for compensating the effect of a contact by a hand or other body part of a user with a touch screen while holding an input device on the strength of a capacitively coupled uplink signal provided to the input device by a host device, by detecting and/or discriminating the body touch and modifying at least one uplink channel parameter.

Abstract: In device-assisted navigation, audio navigation cues are often presented at particular locations along a route (e.g., “in 200 meters, turn left” and “turn left here”). However, if the user stops, navigation cues also stop since the user's position is not changing. Additionally, the navigation instruction at the next navigation point may be conflated with the actual position of the next navigation point; e.g., an instruction to “turn left” may be confusing if the road takes a sharp right turn immediately before the next navigation point. Instead, the device may periodically compare the current position of the user and the next navigation point, and periodically present guidance audio cues that indicate the distance and heading offset to the next navigation point. Guidance audio cues may be integrated with and/or supplemented by audio navigation instructions to indicate both the location of the next navigation point and instructions to be followed there.

Abstract: A computer implemented method includes obtaining multiple configuration files that include configuration commit histories, detecting patterns in parameter values in the configuration files to generate file-based rules for configuration parameters, detecting patterns in parameter values in the configuration files to generate history-based rules using commit histories for the configuration parameters, and exposing the rules to calling programs.

Abstract: Methods, systems, apparatuses, and computer program products are provided that enable immediate access to data associated with a source blob. The foregoing is achieved by creating a copy-on-read blob based on the source blob and a link blob based on the copy-on-read blob for each virtual machine to be deployed. When creating the copy-on-read blob, the source blob is not copied. Instead, data from the source blob is copied to the copy-on-read blob upon request by a virtual machine. Subsequent requests for that data are retrieved from the copy-on-read blob. Each link blob stores write data provided by its corresponding virtual machine. When a virtual machine requests data, its corresponding link blob is checked for the data. If the data is not stored therein, the copy-on-read blob is checked for the data. If the copy-on-read blob does not store the data, the data is retrieved from the source blob.

Abstract: An automated program repair tool utilizes a neural transformer model with attention to predict the contents of a bug repair in the context of source code having a bug of an identified bug type. The neural transformer model is trained on a large unsupervised corpus of source code using a span-masking denoising optimization objective, and fine-tuned on a large supervised dataset of triplets containing a bug-type annotation, software bug, and repair. The bug-type annotation is derived from an interprocedural static code analyzer. A bug type edit centroid is computed for each bug type and used in the inference decoding phase to generate the bug repair.

Abstract: A computing device includes a display, a logic machine, and a storage machine holding instructions executable to display a map via the display, and associate a note with location data defining a geographic location. The note is associated with an annotation displayable on the map. The annotation is associated with a location parameter defining a map location at which the annotation is displayed on the map corresponding to the geographic location associated with the note. The annotation is associated with a zoom parameter defining one or more map zoom levels at which the annotation is displayed on the map. The annotation is associated with a context parameter defining one or more computing device contexts with which the annotation is displayed on the map. A notification corresponding to the note is presented based on the computing device being located within a threshold distance of the geographic location.

Abstract: The disclosed technologies provide functionality for non-volatile memory device-assisted live migration of virtual machine (“VM”) data. A host computing device (the “host”) requests that a source non-volatile memory device track changes to a namespace by a VM. In response thereto, the source device tracks changes made by the VM to the namespace and stores one or more data structures that identify the changed portions of the namespace. The host requests the data structures from the source device and requests the contents of the changed portions from the source device. The host then causes the data changed by the VM in the namespace to be written to a namespace on a target non-volatile memory device. The host can also retrieve the device internal state of a child physical function on the source device. The host migrates the retrieved device internal state to a child physical function on the target device.

Abstract: Apparatus and methods are disclosed for controlling execution of memory access instructions in a block-based processor architecture using a hardware structure that generates a relative ordering of memory access instruction in an instruction block. In one example of the disclosed technology, a method of executing an instruction block having a plurality of memory load and/or memory store instructions includes decoding an instruction block encoding a plurality of memory access instructions and generating data indicating a relative order for executing the memory access instructions in the instruction block and scheduling operation of a portion of the instruction block based at least in part on the relative order data. In some examples, a store vector data register can store the generated relative ordering data for use in subsequent instances of the instruction block.