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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Techniques of data flow control are disclosed herein. One example technique includes upon receiving a notification indicating a change to a content item in a source shard, parsing the content item to extract data representing attributes of the content item and identifying a partition of the system-wide index based on the extracted data representing the attributes of the content item. The example technique can also include transmitting, to a token issuer, a request for a token that represents a permission to write to the identified partition of the system-wide index and upon receiving a token issued by the token issuer in response to the transmitted request, transmitting the extracted data representing the attributes of the content item along with the received token to write the extracted data in the partition of the system-wide index.

Abstract: Innovations in encoder-side search ranges having horizontal bias or vertical bias are described herein. For example, a video encoder determines a block vector (“BV”) for a current block of a picture, performs intra prediction for the current block using the BV, and encodes the BV. The BV indicates a displacement to a region within the picture. When determining the BV, the encoder checks a constraint that the region is within a BV search range having a horizontal bias or vertical bias. The encoder can select the BV search range from among multiple available BV search ranges, e.g., depending at least in part on BV values of one or more previous blocks, which can be tracked in a histogram data structure.

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: The present application relates to egressing traffic from a public cloud network. An egress traffic manager configures routing at hosts and edge routers within the public cloud network. The egress traffic manager determines, for an edge router, a plurality of current border gateway protocol (BGP) sessions with external networks. The egress traffic manager configures a virtual router hosted on the edge router to route a portion of egress traffic to a selected one of the external networks via one of the BGP sessions. A host is configured to route the portion of egress traffic within the public cloud network to the edge router. An edge router configured to route, by the virtual router, the portion of egress traffic from the edge router to the selected one of the external networks.

Abstract: The present disclosure provides method and apparatus for responding in a voice conversation by an electronic conversational agent. A voice input may be received in an audio upstream. In response to the voice input, a primary response and at least one supplementary response may be generated. A primary voice output may be generated based on the primary response. At least one supplementary voice output may be generated based on the at least one supplementary response. The primary voice output and the at least one supplementary voice output may be provided in an audio downstream, wherein the at least one supplementary voice output is provided during a time period adjacent to the primary voice output in the audio downstream.

Abstract: A method of and system for utilizing an access token to authenticate a client device for accessing a resource server include generating a session key for a communication session between the device and a resource server, deriving a nonce from the session key, and transmitting a request to an identity platform for authenticating the device to access the resource server, where the request includes the nonce. Upon confirmation of authentication, the method and system may include receiving an access token from the identity platform, the access token including information that confirms authentication of the device, and transmitting the access token to the resource server to enable access to the resource server, where the access token includes the nonce.

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.