Abstract: A system displays summaries of relationships of a selected data asset with other data assets at a limited number of levels upstream and downstream from the selected data asset in rows above and below the selected data asset. In each row, data assets are arranged in order of usage, with most used data asset displayed directly above or below the selected data asset. The user views grandparent-level data assets of a parent-level data asset that is directly above the selected data asset. The system includes a carousal feature to further navigate the lineage data upstream or downstream. By selecting a new data asset in the parent row, the user can view grandparent-level data assets of the newly selected data asset. The user can view multiple upstream or downstream levels arranged in respective rows displayed above or below the selected data asset. The system can analyze data from any application.

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: Described herein is a technique to facilitate filtering during candidate retrieval stage performed by an information retrieval system that utilizes embedding models. An aNN indexing structure is created for each end-user, and in some instances, each activity type. This allows a single request for candidate content items to invoke a single process to obtain content items that satisfy the filtering criteria (e.g., in this case, the in-network requirement) from the separate per-end-user indexes.

Abstract: A computer implemented method includes detecting user interaction with mixed reality displayed content in a mixed reality system. User focus is determined as a function of the user interaction based on the user interaction using a spatial intent model. A length of time for extending voice engagement with the mixed reality system is modified based on the determined user focus. Detecting user interaction with the displayed content may include tracking eye movements to determine objects in the displayed content at which the user is looking and determining a context of a user dialog during the voice engagement.

Abstract: Technologies are described here for, among other things, improving search query relevance by executing a query on a search engine, retrieving search-page-data generated from executing the query, the search-page-data including document-titles and universal resource locators (URLs), each document-title being a title of a document associated with a URL, determining relevant-entity-words in the query from an entity relevance score for matching search terms in the query, Domain-URLs, and Domain-Titles, determining relevant-intent-words in the query from an intent-word relevance score based on a number of times a search term appears in the query and the URLs relative to other search terms in the query and the URLs, comparing each of the determined relevant-entity-words and each of the determined relevant-intent-words with a plurality of stored past-user queries, retrieving the plurality of stored past-user search queries including the relevant-entity-words and the relevant-intent-words, and transmitting a set of qu

Abstract: A computing device, such as a personal computing device (e.g., laptop, smartphone, etc.) or server, is configured to utilize environmental factors in generating public/private key pairs to access restricted data or operations. The environmental factors can include location, time, barometric pressure, acceleration, temperature, humidity, and the like. An initial key pair may be used to encrypt data and enable other conventional security features. A key pair can be subsequently generated based on the same environmental factors as with the initial key pair generation and used to access the data or operations which have been restricted using the initial key pair.

Abstract: An optical waveguide adapter assembly comprises a solid core optical waveguide extending between a free end and a coupled end and having a solid waveguiding core with an associated first optical mode field size; a hollow core optical waveguide extending between a free end and a coupled end and having a hollow waveguiding core with an associated second optical mode field size; and an optical mode field adapter extending between a first end and a second end and having a waveguiding core configured to change an optical mode field of a waveguided optical signal substantially between the first optical mode field size at the first end of the optical mode field adapter and the second optical mode field size at the second end of the optical mode field adapter, the first end of the optical mode field adapter joined to the coupled end of the solid core optical waveguide to provide optical coupling between the waveguiding core of the solid core optical waveguide and the waveguiding core of the optical mode field adapter

Abstract: A control system comprises a memory storing a sequence of sensor data received from one or more sensors. The control system has a processor which processes the sensor data to compute a sequence of derived sensor data values. An autoencoder receives the sequence of derived sensor data values and computes a forward prediction of the sequence of derived sensor data values, the autoencoder having been trained imposing a relationship on positions of the derived sensor data values encoded in a latent space of the autoencoder. A processor initiates control of an apparatus using the forward prediction.

Abstract: An apparatus and method are provided for storing and processing quantum information. More particularly, a physical layout is provided to perform Floquet codes. The physical layout includes a quantum processor having an array of qubits (e.g., columns of tetrons or hexons in which Majorana zero modes are located on topological superconductor segments) with a gateable semiconductor devices forming interference loops to perform two-qubit Pauli measurements. Coherent links between qubits in a column enable certain two-qubit Pauli measurements, especially those additional two-qubit Pauli measurements used at a boundary surrounding a region of the bulk code. The two-qubit Pauli measurements are selected to minimize a size of the interference loops. Certain embodiments perform Floquet codes in six time steps. Hexagon embodiments tile the array of qubits with unit cells of 6-gon vertical (or horizontal) bricks. Square-octagon embodiments tile the array of qubits with unit cells of two 4-gon and two 8-gon bricks.

Abstract: A sample ratio mismatch (SRM) analyzer receives data from an online controlled experiment (OCE) and provides information to help determine a root cause of an SRM. The SRM analyzer may identify one or more segments in the data that include an SRM and may determine whether a triggered scorecard of the OCE includes an SRM. The data may include one or more scorecards. The SRM analyzer may determine whether each scorecard has an SRM. The SRM analyzer may test a difference in proportion of users assigned to treatment between a last scorecard without an SRM and a first scorecard with an SRM. If the difference in proportion is statistically meaningful, the SRM analyzer may determine that the SRM arose after the last scorecard. If the difference in proportions is not statistically meaningful, the SRM analyzer may determine that the SRM existed from a beginning of the OCE.

Abstract: Neural network-based categorization can be improved by incorporating graph neural networks that operate on a graph representing the taxonomy of the categories into which a given input is to be categorized by the neural network based-categorization. The output of a graph neural network, operating on a graph representing the taxonomy of categories, can be combined with the output of a neural network operating upon the input to be categorized, such as through an interaction of multidimensional output data, such as a dot product of output vectors. In such a manner, information conveying the explicit relationships between categories, as defined by the taxonomy, can be incorporated into the categorization. To recapture information, incorporate new information, or reemphasize information a second neural network can also operate upon the input to be categorized, with the output of such a second neural network being merged with the output of the interaction.

Abstract: Examples described herein generally relate to systems and method for streaming a video game at a client device. The client device may transmit video game controls to a streaming server. The client device may receive a video stream encoding video images generated in response to the video game controls from the streaming server. The client device may determine that a video image of the video stream to display in a frame has not been completely received at a designated time prior to display of the frame. The client device may determine an image transformation based on a history of the video images and motion vectors for the video stream. The client device may apply the image transformation to a portion of one or more images corresponding to previous frames. The client device may display a substitute video image in the frame including the portion of the transformed image.

Abstract: A method of balancing a dataset for a machine learning model includes identifying confusing classes of few-shot classes for a machine learning model during validation. One of the confusing classes and an image from one of the few-shot classes are selected. An image perturbation is computed such that the selected image is classified as the selected confusing class. The selected image is modified with the computed perturbation. The modified selected image is added to a batch for training the machine learning model.

Abstract: A data processing system that provides access to operator state information includes a plurality of operators that are configured to perform a computation with respect to data received from data sources. State information is associated with at least one of the plurality of operators. The data processing system also includes an object graph that comprises a representation of the computation, and that may dynamically change at runtime. The data processing system also includes an interface that provides access to the state information via the object graph. The data processing system also includes a query manager that is executable to process a graph query to retrieve the state information by traversing a plurality of nodes within the object graph. Temporal navigation is also supported. Thus, processing a graph query may involve navigating to a node in the object graph at a certain point in time.

Abstract: The disclosed technology is generally directed to virtual machines. In one example of the technology, a network change from a first virtual network to a second virtual network is reconfigured for a first virtual machine that is executing on a first virtual machine host. The reconfiguring includes the following. In the first virtual machine host, a mapping change from the first virtual network to the second virtual network is configured by reprogramming drivers in the first virtual machine host for route mapping for the second virtual network. A Dynamic Host Configuration Protocol (DHCP) retrigger is caused without rebooting the first virtual machine. A configuration file is provided to the first virtual machine. The configuration file includes user-specific networking settings. The first virtual machine is reconfigured in accordance with the user-specific networking settings.

Abstract: Data is collected from a network graph, wherein the collected data is useful for training a machine learning model on a query domain. A domain-specific template corresponding to the query domain is received, the domain-specific template defining one or more classifiers to guide collection of content relevant to the query domain from the network graph. A collection starting point is analyzed based on the one or more classifiers of the domain-specific template to identify one or more relevant instances of the content. The one or more identified relevant instances of the content are added to a contextual protocol package. Each identified relevant instance of the content is analyzed based on the one or more classifiers of the domain-specific template to identify one or more additional relevant instances of the content. The one or more identified additional relevant instances of the content are added to the contextual protocol package.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that return query completions are provided. A user of a computing device like a mobile phone may enter a prefix. In turn, the prefix and location information associated with the device are transmitted to a server device. The server device receives the prefix and location information. The prefix and the location information are matched with names and locations of entities stored in a database connected to the server device. The server device transmits query completion data to the mobile device. The query completion data includes one or more names that complete the received prefix. The names provided by the server device may be associated with entities that are within a threshold radius of the location information.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: A method and system for provisioning a first computing device and authenticating the provisioned first computing device are disclosed, comprising sending a request to prepare the first computing device, including providing a request identifier and an authentication token to be stored on the provisioned first computing device, receiving a unique identifier of the provisioned first computing device, storing the request identifier, the authentication token, and the received unique identifier in a provisioning data structure, and authenticating the provisioned first computing device on the network based on a determination that a unique identifier and the authentication token stored on the provisioned first computing device requesting authentication match both the authentication token and the received unique identifier of the provisioned first computing device in the provisioning data structure.

Abstract: Identifying data quality along a data flow. A method includes identifying quality metadata for two or more datasets. The quality metadata defines one or more of quality of a data source, accuracy of a dataset, completeness of a dataset, freshness of a dataset, or relevance of a dataset. At least some of the metadata is based on results of operations along a data flow. Based on the metadata, the method includes creating one or more quality indexes for the datasets. The one or more quality indexes include a characterization of quality of two or more datasets.

Abstract: The present disclosure relates to systems, methods, and computer readable media for identifying and responding to a panic condition on a storage system on a computing node. For example, systems disclosed herein may include establishing recovery instructions between a host system and a storage system in responding to a future instance of a panic condition. The storage system may provide an indication of a self-detected panic condition in a variety of ways. In response to identifying the panic condition, the host system may perform one or more recovery actions in accordance with recovery instructions accessible to the host system. This may include performing resets of specific components and reinitializing communication between the host system and storage system in less invasive ways than slower and more expensive conventional approaches for responding to panic conditions on computing nodes.

Abstract: The present disclosure provides a technical solution related to intelligent knowledge learning and question-answering. The technical solution involves extracting knowledge from corpus and providing a user with a question-answering service based on the extracted knowledge.

Abstract: In various examples there is a method performed by a Head Mounted Display, HMD, comprising a high field rate display configured to display fields of rendered frames at a field rate. The method comprises receiving a stream of the rendered frames for display on the high field rate display, the stream of rendered frames having a frame rate. The process applies an early stage reprojection to the rendered frames of the stream of rendered frames at a rate which is lower than the field rate. The process applies a late stage reprojection to fields of the rendered frames at the field rate, wherein the early stage reprojection uses more computational resources than the late reprojection.

Abstract: A method for virtually representing human body poses includes receiving positioning data detailing parameters of one or more body parts of a human user based at least in part on input from one or more sensors. One or more mapping constraints are maintained that relate a model articulated representation to a target articulated representation. A model pose of the model articulated representation and a target pose of the target articulated representation are concurrently estimated based at least in part on the positioning data and the one or more mapping constraints. The previously-trained pose optimization machine is trained with training positioning data having ground truth labels for the model articulated representation. The target articulated representation is output for display with the target pose as a virtual representation of the human user.

Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.

Abstract: A system provides dynamically controlled participation allocations for communication sessions. A system can create a queue for participants of a communication session, such as an online meeting. The queue can be generated for a communication session having an intended format that allows participants to individually speak in succession, such as a Question and Answer (Q&A) session. The system manages a user interface (UI) of the communication session displaying a timer that changes dynamically for each participant indicating a total time for his or her questions or comments based on an amount of time left for the meeting to end. The system displays, augments, and associates a timer for each participant indicating a total time for his or her questions or comments, which is based on an amount of time left for the meeting to end, number of users providing a “hand raise” input, and history of participation for each participant.

Abstract: Examples are disclosed that relate to methods and computing devices for determining a distance of an input device from a surface of a computing device. In one example, a method comprises receiving a plurality of input device signals via the input device. A portion of the input device signals are used to determine an effective voltage of the input device. Adjusted input device signals are generated by adjusting another portion of input device signals using the effective voltage of the input device. The method further comprises providing the adjusted input device signals as an input to a distance model, and receiving and outputting the distance of the input device from the surface of the computing device.

Abstract: A peak detector comprises multiple small-size amplitude detection circuits coupled in parallel to signal inputs at which a signal is received from a VCO. Each amplitude detection circuit generates a voltage on an output, indicating a voltage peak or amplitude of a first signal input and a second signal input (specifically, differential output of VCO). At a given time, only one small-size amplitude detection circuit is activated to load VCO, reducing the impact on LC resonant frequency. The plurality of small-size detection circuits work sequentially, and an automatic averaging of their outputs can significantly improve the peak detector fluctuation (caused by process variation and device mismatch) compared to each single small-size amplitude detection circuit.

Abstract: Embodiments are directed to techniques for chaining, triggering, and/or enforcing entitlements in a constrained environment. A constrained environment may be provided within with shielded assets are required to exist or execute. An entitlement may be granted on a variety of shielded assets, including datasets, computations scripts, data privacy pipelines, and intermediate datasets generated by an intermediate step of a data privacy pipeline. Thus, a beneficiary may use a granted entitlement as an input into other data privacy pipelines, without the need for the grantor to approve each specific downstream operation. The constrained environment may enforce an entitlement by fulfilling applicable constraints upon accessing the entitlement, restricting the output of the entitlement to the constrained environment, and fulfilling applicable policies when executing downstream operations.

Abstract: Technologies are shown for detection of identity misconfiguration that involve collecting identity/role binding and role/access rules data from multiple clusters supported by a computing resource system. Access rules for identities are extracted from the collected data and an access rule prediction model created to predict access rules for identities. An identity definition request for a tenant is received having a requested identity and a role assigned to the identity. A set of access rules is obtained for the role assigned to the identity and a predicted set of access rules is obtained for the requested identity from the prediction model. The access rules for the requested role are compared to the predicted set of access rules and a misconfiguration alert generated when there is a difference between the set of access rules for the requested role and the predicted set of access rules for the requested identity.

Abstract: A display pose of a client computing device is computed in a hybrid manner using both the client computing device and a server. Using the client computing device, an initial pose of the client computing device at an initial time is computed. A prospective pose at a target time is predicted using the client computing device. The prospective pose is sent along with auxiliary data from the client computing device to the server and a display pose of the client computing device at a display time is computed. The display pose is computed using the prospective pose and the auxiliary data.

Abstract: Generally discussed herein are devices, systems, and methods for generating an automatic interactive digital notebook completion model. A method can include receiving notebook content of an interactive digital notebook, the notebook content including a markdown cell followed by a code cell. The method can include generating input/output examples by, for each input/output example by masking one of (i) content of the markdown cell or (ii) content of the code cell resulting in a masked cell, identifying the masked cell and content of another cell of the markdown cell or the code that is not masked as an input for an input/output example, and identifying the content of the masked cell as an output for the input/output example. The method can include training, based on the input/output examples, a natural language processing model that generates a prediction of the content of a second masked cell as an output.

Abstract: A method, computer program product, and computing system for defining a communication computing system within a computing network, wherein the computing network includes a plurality of disparate platforms configured to provide information concerning various topics; and exposing an endpoint within the computing network that provides directory assistance to enable one or more specific disparate platforms, included within the plurality of disparate platforms, to communicate with the communication computing system.

Abstract: Embodiments of the disclosed technologies receive a first signal from a user session and create a first ranked list of content items. Based on the first signal, a first subset of the first ranked list is assigned to a first set of slots of the user session. A second subset of the first ranked list is assigned to a second set of slots of the user session. Based on user activity data and position context data, a second ranked list of content items is created. The second ranked list is assigned instead of the second subset to the second plurality of slots.

Abstract: Described are examples for receiving, from one or more second virtual radio access network (vRAN) workloads operating one or more second cells, an indication of a measurement of at least a first signal transmitted by a first vRAN workload operating a first cell, computing, based on measurements of at least the first signal as received from the one or more second vRAN workloads, a boundary of the first cell, and adjusting, based on the boundary of the first cell, a transmit parameter of the first vRAN workload for transmitting signals in the first cell.

Abstract: Garbage collection or other computational work accesses memory which is located outside processor registers. Some embodiments specify at least some of the memory accesses and separate them from other computations, and utilize a memory access state machine to control the execution of both kinds of computation. Code that employs memory access results is placed in a run routine which is divided between respective states of the state machine. The specified memory accesses are invoked from a state code, and overlap other computation. A prefetch buffer may be dynamically sized based on the availability of space in the prefetch buffer. Code for shared work, such as address relocation code, may be placed in its own state structure. Candidate code for possible separation into a specified memory access routine may be automatically recognized.

Abstract: Described are examples for providing end-to-end intent definition of network functions for network slice management. Intents are defined for each level of network constituent including slices, slice subnets, and management functions. A system of intent based network slice management includes a network slice management function (NSMF) configured to receive a service profile from a communication service management function (CSMF) and derive an intent for each desired network slice subnet for a network slice subnet management function (NSSMF). The NSSMF is configured to derive requirements for a plurality of network functions (NFs) and provide an intent defining the requirements of a respective NF to a network function management function (NFMF). The NFMF is configured to receive the intent for the respective NF via an intent-based interface for management of NFs and derive a network resource model (NRM) for the respective NF based on the intent.

Abstract: A method may include detecting an error during execution of a function of an application executing on a system; inputting an identifier of the error into a first client-side telemetry data filter model; based on the inputting, receiving an output value from the first client-side telemetry data filter model; determining that the output value is above an importance threshold; and in response to the determining, transmitting telemetry data associated with the error to a server computing device.

Abstract: A liquid-submersible thermal management system includes a shell, a heat-generating component, a working fluid, and at least one heat-dispersing element. The shell defines an immersion chamber where the heat-generating component is located in the immersion chamber. The working fluid is positioned in the immersion chamber and at least partially surrounds the heat-generating component so the working fluid receives heat from the heat-generating component. The at least one heat-dispersing element is positioned on exterior surface of the shell to conduct heat from the shell into the heat-dispersing element.

Abstract: Methods, systems, apparatuses, and computer program products are described for providing content recommendations to a requestor. In implementations, user event records associated with media items and content types may be stored, for instance, in an event catalog. A set of user scores may be generated based on a user-content score model and the user event records, where each generated user score represents an affinity between a user and a corresponding content type of the plurality of content types. A set of title scores may also be generated for a media item based on a title-content score model, where each generated title score represents an affinity between the media item and a corresponding content type. In response to a request, the sets of scores may be combined to generate a set of content recommendations to provide to the requestor.

Abstract: Embodiments of the present disclosure include systems and methods for determining position values for training data that is used to train transformer models. In some embodiments, a set of input data for training a transformer model is received. The set of input data comprises a set of tokens. Based on an offset value, a set of successive position values for the set of tokens is determined. Each position value in the set of successive position values represents a position of a token in the set of tokens relative to other tokens in the set of tokens. A set of training data is generated to comprise the set of tokens and the set of successive position values. The transformer model is trained using the set of training data.

Abstract: Techniques are described herein that are capable of updating a state of a client device using a limited event size protocol. An initial state of the client device is stored. The initial state is defined by first records that identify first respective binaries associated with the client device at a first time. A first event of multiple events, which are configured in accordance with the limited event size protocol, is received from the client device. Each event includes a respective subset of second records, which identify respective second binaries associated with the client device at a second time. The first event is parsed to identify a first subset of the second records that is included in the first event. An updated state of the client device is generated by replacing a first portion of the first records with the first subset of the second records.

Abstract: Examples are disclosed relating to providing haptic feedback in a stylus while the stylus crosses a gap between two displays. In one example, a method comprises detecting one or more haptic triggering criteria, and at least on condition of detecting the one or more haptic triggering criteria, actuating the haptic feedback component to produce haptic output. Using a width of the gap between the displays, a stylus velocity, and a stylus direction, a crossing time for the stylus tip to cross the gap is calculated. At a first time after actuating the haptic feedback component, the method determines that the stylus tip crosses an inside edge of one of the displays. At least on condition of determining that the tip of the stylus crosses an inside edge of a display, the method continues to actuate the haptic feedback component for the crossing time.

Abstract: An optical combiner in a display system of a mixed-reality head-mounted display (HMD) device comprises a lens of birefringent material and a ferroelectric liquid crystal (FLC) modulator that are adapted for use with a reflective waveguide to provide multiple different focal planes on which holograms of virtual-world objects (i.e., virtual images) are displayed. The birefringent lens has two orthogonal refractive indices, ordinary and extraordinary, depending on the polarization state of the incident light. Depending on the rotation of the polarization axis by the FLC modulator, the incoming light to the birefringent lens is focused either at a distance corresponding to the ordinary refractive index or the extraordinary refractive index. Virtual image light leaving the birefringent lens is in-coupled to a see-through reflective waveguide which is configured to form an exit pupil for the optical combiner to enable an HMD device user to view the virtual images from the source.

Abstract: An electronic device includes a light source, a communication device, a processor in data communication with the light source and the communication device, and a hardware storage device in data communication with the processor. The hardware storage device has instructions stored thereon that, when executed by the processor, cause the electronic device to receive a timing signal from a camera, where the timing signal includes an exposure timing of a camera exposure; provide an exposure light pulse from the light source simultaneously with the camera exposure; and after providing the exposure light pulse, provide a dummy light pulse that does not overlap with a camera exposure.

Abstract: Methods and systems are provided that are directed to identifying an individual having a specific skill and that is best suited for performing a particular task. The individual may be identified based on having a highest score for the skill out of a pool of individuals having the same skill. In examples, a score specific to each individual out of the pool of individuals having the same skill may be based on multiple interactions with the skill and may be adjusted based on a recency of when each interaction occurred and a level of involvement the individual had with the skill. Accordingly, individuals having recent experience with the skill may be scored, and therefore, ranked higher than individuals having experience with the skill that may have occurred further back in time. In examples, the information about the skills and experiences may be utilized to automatically generate the score.

Abstract: The present disclosure relates identifying an intended viewer and an unintended viewer of a liquid crystal display (LCD) using face recognition technology. Once identified the system may determine a face position for the unintended viewer. The system may modulate the voltage applied at a third electrode on the color filter layer of the LCD to achieve a certain off-axis contrast that may reduce the unintended viewer's visibility of the LCD without restricting the visibility of the intended viewer. Ultimately, the present disclosure provides enhanced privacy options for the intended viewer with a lightweight, inexpensive, and highly transportable system.

Abstract: Systems are provided for logging transactions in heterogeneous networks that include a combination of one or more instrumented components and one or more non-instrumented components. The instrumented components are configured to generate impersonated log records for the non-instrumented components involved in the transaction processing hand-offs with the instrumented components. The impersonated log records are persisted with other log records that are generated by the instrumented components in a transaction log that is maintained by a central logging system to reflect a complete flow of the transaction processing performed on the object, including the flow through the non-instrumented component(s).