Abstract: The techniques disclosed herein provide systems that provides delegation for unavailable participants that are mentioned in a communication session, such as a channel, chat session, email thread, meeting chat, etc. When a system detects that a person, also referred to herein as a “primary participant,” is mentioned in a message, e.g., an “@mention” or “@name” is detected, and the system detects that the mentioned person has set an out-of-office reply or otherwise indicated an unavailable status, the system automatically identifies a delegate and packages the immediate message including “@name” and the message thread including the immediate message, and sends the packaged communications to the delegate. Permissions are also modified so that a computer associated with the delegate can display messages of the thread and send messages to the thread on behalf of mentioned person. When the delegate responds, the system directs the response to reply to the main thread.

Abstract: Compressing memory addresses within an execution trace via reference to a translation lookaside buffer (TLB) entry. A microprocessor identifies a TLB entry within a TLB slot, the TLB entry mapping a virtual memory page to a physical memory page. The microprocessor initiates logging of the TLB entry by initiating logging of at least a virtual address of the virtual memory page, and an identifier that uniquely identifies the TLB entry from among a plurality of live TLB entries. Subsequently, the microprocessor identifies a cache entry within a memory cache slot, the cache entry comprising a physical memory address corresponding to a cache line. The microprocessor initiates logging of the cache entry by matching a physical memory page identification portion of the physical memory address with the TLB entry, and then initiates logging of at least the identifier for the TLB entry and an offset portion.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: A computing system that enables data stored in a persistent memory region to be preserved when a processor fails can include volatile memory comprising the persistent memory region, non-volatile memory, and a system on a chip (SoC). The SoC can include a main processor that is communicatively coupled to both the volatile memory and the non-volatile memory. The SoC can also include an auxiliary processor that is communicatively coupled to both the volatile memory and the non-volatile memory. The SoC can also include instructions that are executable by the auxiliary processor to cause the data in the persistent memory region of the volatile memory to be transferred to the non-volatile memory in response to a failure of the main processor.

Abstract: A thermal management system for a computing device includes a support board, a heat-generating component fixed to the support board, an enclosure, and a PCM. The heat-generating component is fixed to the support board on a first side of the support board, and the enclosure is fixed to the first side of the support board and encloses at least the heat-generating component. The PCM is positioned in the enclosure and configured to receive heat from the heat-generating component. The PCM is solid at 10° C.

Abstract: A system and method for converting a document is described. The system accesses a document comprising one or more section breaks. The system detects sections of the text document demarked by the one or more section breaks and generates a section title metadata and a section summary metadata for each section of the plurality of sections. The system inserts the section title metadata and the section summary metadata at the corresponding section breaks in the text document. The system modifies the text document into slides. Each slide being formed for each section based on the corresponding section title metadata and the section summary metadata. The system generates a presentation document based on the slides.

Abstract: An HMD includes a single photon avalanche diode (SPAD) array comprising a plurality of SPAD pixels. The HMD also includes a display positioned to display images for viewing by an eye of a user. The HMD also includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the HMD to perform various acts associated with using the SPAD array to capture an image frame of an environment for display to the user.

Abstract: Techniques are described herein that are capable of constructing a finite automaton using regular expression derivatives to simulate behavior of a backtracking engine. The behavior indicates an order in which paths in an input regular expression are to be evaluated by the backtracking engine. The finite automaton is constructed to include a graph that includes a root node that represents the input regular expression. Regular expressions are derived such that each derived regular expression is a regular expression derivative of the input regular expression or of another derived regular expression. Priorities are assigned to alternations in the derived regular expressions to correspond to priorities indicated by the behavior. Nodes that represent the respective derived regular expressions and transitions between respective pairs of nodes are caused to be included in the graph. Priorities, which correspond to the order, are assigned to respective branches of the graph.

Abstract: The techniques disclosed herein provide dynamic curation of sequence events for communication sessions. A system can utilize smart filtering techniques to generate and select sequence events that are designed to optimize user engagement. The system can collect contextual data associated with a communication session, which can be in the form of a private chat session, a multi-user editing session, a group meeting, a live broadcast, etc. The system can utilize the contextual data, and other input data defining user activity, to customize sequence events defining contextually-relevant user interface (UI) layouts, volume levels, camera angles, special effects, and other parameters controlling aspects of the communication session.

Abstract: Examples are disclosed related to optically transparent antennas. One example provides a device, comprising an electrically insulating substrate that is at least partially optically transparent, one or more antennas disposed on the electrically insulating substrate, each antenna comprising a film of a conductive material that is at least partially optically transparent, the one or more antennas comprising a communication antenna, and processing circuitry electrically coupled to the communication antenna, the processing circuitry configured to one or more of send or receive signals via the communication antenna.

Abstract: The disclosure herein describes using a transcript generation model for generating a transcript from a multi-speaker audio stream. Audio data including overlapping speech of a plurality of speakers is obtained and a set of frame embeddings are generated from audio data frames of the obtained audio data using an audio data encoder. A set of words and channel change (CC) symbols are generated from the set of frame embeddings using a transcript generation model. The CC symbols are included between pairs of adjacent words that are spoken by different people at the same time. The set of words and CC symbols are transformed into a plurality of transcript lines, wherein words of the set of words are sorted into transcript lines based on the CC symbols, and a multi-speaker transcript is generated based on the plurality of transcript lines. The inclusion of CC symbols by the model enables efficient, accurate multi-speaker transcription.

Abstract: The automated generation of a web site preview based on a web site identifier, where the web site preview has one or more controls that facilitate connection to one or more endpoints. In response to receiving the web site identifier from the client computing system, the service uses the web site identifier to navigate to the web site identified by the web site identifier. After navigating to that web site, the service accesses an action identifier and an associated endpoint identifier from the web site. The service then generates preview data representing a preview of the web site represented by the web site identifier. The service provides the preview data to the client, where the preview with the control is rendered, so as to facilitate connection with the associated endpoint of the control.

Abstract: A neural transformer model with attention is trained to predict candidates to complete a line of source code with a zero-inference capability. The model is trained on an unsupervised training dataset that includes features from source code written in multiple programming languages. The features include a file-level context and a local context, where the file-level context includes a global context, a class context, a function context, and/or a method context for each class, function and/or method of the source code programs used in the training dataset. The local context includes method bodies, function bodies, and/or stand-alone code of main method routines. From these features, the model is able to learn to predict an ordered sequence of code elements that complete a line of source code in a programming language seen and not seen during training.

Abstract: Computerized systems are provided for automatically determining action items of an event, such as a meeting. The determined action items may be personalized to a particular user, such as a meeting attendee, and may include contextual information enabling the user to understand the action item. In particular, a personalized action item may be determined based in part from determining and utilizing particular factors in combination with an event dialog, such as an event speaker's language style; user role in an organization; historical patterns in communication; event purpose, name, or location; event participants, or other contextual information. Particular statements are evaluated to determine whether the statement likely is or is not an action item. Contextual information may be determined for action items, which then may be provided to the particular user during or following the event.

Abstract: An enterprise system server, a computer-readable storage medium, and a method for targeted training of inductive multi-organization recommendation models for enterprise applications are described herein. The method includes receiving enterprise application data from remote organization computing systems executing the enterprise application, training per-organization recommendation models for a subset of the organizations, and validating each per-organization recommendation model on enterprise application data corresponding to one or more other organizations.

Abstract: A method of performing a write operation in a holographic data storage system, in which schedule schedules at least one write operation across multiple non-contiguous write intervals, the write operation pertaining to a set of data to be stored in a region of a holographic recording medium. In each of the non-contiguous write intervals, the region of the holographic recording medium is exposed to an interference pattern caused by interference between a reference beam and an input beam carrying the set of data. The multiple non-contiguous write intervals have a total aggregate duration of sufficient length to cause a persistent state change in the exposed region, such that the set of data is recoverable from that region by the end of a final write interval of the multiple non-contiguous write intervals.

Abstract: Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for detecting abnormal behavior of device in an enterprise network based on an analysis of behavioral information of the device's neighbors in network. At a high level, embodiments of the present disclosure employ a hive-mind approach to determine anomalous behavior of a device in a network based on analyzing behavior information reported by neighboring devices within the network. Embodiments identify that a device is alive and connected within the network based on multiple neighboring devices reporting behavioral information about the device; however, the device may be dysfunctional and failing to report its own information. By aggregating and analyzing behavioral information of a device based on the reporting information of its neighboring devices, embodiments of the present disclosure are able to determine whether a device is healthy even when the device is unable to report its own information.

Abstract: Innovations in unified intra block copy (“BC”) and inter prediction modes are presented. In some example implementations, bitstream syntax, semantics of syntax elements and many coding/decoding processes for inter prediction mode are reused or slightly modified to enable intra BC prediction for blocks of a frame. For example, to provide intra BC prediction for a current block of a current picture, a motion compensation process applies a motion vector that indicates a displacement within the current picture, with the current picture being used as a reference picture for the motion compensation process. With this unification of syntax, semantics and coding/decoding processes, various coding/decoding tools designed for inter prediction mode, such as advanced motion vector prediction, merge mode and skip mode, can also be applied when intra BC prediction is used, which simplifies implementation of intra BC prediction.

Abstract: Methods, systems, and computer storage media for providing a tailored meeting-video segment associated with a meeting-video management engine of a meeting-video management system. The tailored meeting-video segment corresponds to a portion of meeting-video content that is programmatically generated based on features associated with video data, meeting data, and user data. A tailored meeting-video segment—or a plurality of tailored meeting-video segments—can be generated by employing a meeting-video tailoring machine learning model of the meeting-video management engine. In particular, the features—associated with video data comprising the plurality of clips, meeting data of the meeting, and user data of the user—are meeting-video tailoring features used by the meeting-video tailoring machine learning model to generate the tailored meeting-video segment.

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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 present technology provides a method to regenerate secrets while a version of the system is operational, thus avoiding the loss of availability that would have resulted from a system shutdown. The technology described herein may work in a computing context that assigns a first secret in an active role and a second secret in the backup role. The technology described herein activates a second instance of the service with the key not being regenerated serving as the active key. The second instance is then moved to the production mode and the first version of the service is moved to the staging mode. A new secret is generated and then assigned to the first instance of the service while it runs in the staging mode. Once the secret rotation is complete, the primary service instance is then moved back to the production mode with the new key configuration.

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: A method of reducing power consumption of a first wireless communication device is described. A charge level of a battery associated with the first wireless communication device is monitored. A wireless communication session between the first wireless communication device and a second wireless communication device is maintained. Based at least in part on the charge level of the battery being within a low battery threshold range, a wireless signal strength associated with the wireless communication session is monitored. Based at least in part on the wireless signal strength reaching a power saving threshold that is above a minimum connection threshold for maintaining the wireless communication session, a power saving action associated with a wireless interface that supports the wireless communication session is performed.

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: Aspects of the present disclosure relate to retrospective memory analysis. In examples, a historical archive of memory images for an execution environment is maintained. A historical memory image of the historical archive may be evaluated according to a current set of known issues, rather than issues that were known at the time of the memory capture. Accordingly, it may be possible to determine when the execution environment was last in a good environment condition. As another example, it may be possible to determine whether a now-known issue has since been resolved (e.g., such that the issue would not be identified in the current execution environment). Thus, as compared to contemporaneous issue identification techniques, aspects of the present disclosure may be applied to any number of execution environments to enable retrospective identification of now-known issues that were, at least at the time of a memory capture, not known.

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: 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 technique facilitates interaction among meeting participants for a purpose of verifying meeting attendance. The technique includes the operations of: using a programmatic interface to query a data structure to discover first information regarding meetings that a user is scheduled to attend; using the programmatic interface to query the data structure to discover second information regarding participants of a particular meeting; generating a likelihood measure, based on the second information, that specifies a likelihood that the particular meeting will take place; displaying the first information, second information, and a representation of the likelihood measure in a user interface presentation; generating and presenting a graphical control that invites the user to take a computer-implemented action pertaining to the particular meeting; and, in response to activation of the graphical control, performing the computer-implemented action.

Abstract: Embodiments of the present disclosure are directed to a network analytic system for tracking and analysis of network infrastructure for network-based digital assets. The network analytic system can detect and track a relationship between assets based on one or more attributes related or shared between any given assets. The network analytic system can analyze network-based digital assets to determine information about a website (e.g., information about electronic documents, such as web pages) that has be used to detect phishing and other abuse of the website. The network analytic system can analyze data about network-based assets to determine whether any are being used or connected to use of unauthorized or malicious activity or known network-based assets. Based on the relationship identified, the network analytic system can associate or link assets together. The network analytic system may provide an interface to view data sets generated by the network analytic system.

Abstract: The technology described herein visibly depicts hidden message traits to help users determine whether an email is genuine or deceptive. The hidden message traits are revealed by identifying and changing attributes that keep the hidden traits from being displayed in a rendered message. Spam messages, phishing messages, and messages that include or link to malicious programs (e.g., malware, ransomware) are examples of unwanted messages that can harm a recipient. These messages often rely on deception to get past email filtering systems and to trick a user into acting on content in a message. The deception often involves including hidden traits in a message that fool an automated filtering system. The technology described herein shows the visible traits to a user by including them in the rendered version of the message.

Abstract: Systems, methods, and computer-executable instructions for synthesizing facts from multiple sources. A user search string associated with a topic is received. Queries associated with the user search string are generated. Website content is queried, using the plurality of queries associated with the user search string, to generate results. The results are ranked based on a first feature. The results are filtered based on the first feature to generate intermediate results. The intermediate results are ranked based on a second feature. The second feature is most costly to calculate than the first feature. The filtered intermedia results are filtered based on the second feature to generate final results. Distinct facts from the final results are determined. The distinct facts include content from different URLs. The distinct facts associated with the topic are returned.

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: 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.