Abstract: In one example, a plurality of image frames captured by a digital camera unit are received. Received image frames may be still images or frames of a video sequence. Received image frames are automatically analyzed for detecting a possibility to process a plurality of image frames.

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: 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: The present disclosure relates to utilizing a content service system to improve selecting data sources that are used to retrieve digital content items in response to content requests. For example, in response to receiving a content request, the content service system determines to retrieve content items by either calling a lower-quality data source with lower computing costs based on the request having lower service quality metrics or by calling a higher-quality data source with higher computing-costs based on the request having superior service quality metrics. In many instances, the service quality metric is based on the user characteristics of a user identifier associated with the requesting device. By dynamically determining to utilize different data sources having different computing costs based on service quality metrics, the content service system significantly reduces the total amount of computing costs for retrieving and providing digital content, without hurting the user experience.

Abstract: A system for dark current compensation in SPAD imagery is configurable to capture an image frame with the SPAD array and generate a temporally filtered image by performing a temporal filtering operation using the image frame and at least one preceding image frame. The at least one preceding image frame is captured by the SPAD array at a timepoint that temporally precedes a timepoint associated with the image frame. The system is also configurable to obtain a dark current image frame. The dark current image frame includes data indicating one or more SPAD pixels of the plurality of SPAD pixels that detect an avalanche event without detecting a corresponding photon. The system is also configurable to generate a dark current compensated image by performing a subtraction operation on the temporally filtered image or the image frame based on the dark current image frame.

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: 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: A technique uses a graph neural network (GNN) to determine whether a particular entity under consideration is engaging in abusive network-related activity over a computing network in collaboration with other entities. In some applications, the particular entity is part of a bot attack aimed at fraudulently engaging with advertisements. The technique trains the GNN by performing machine learning on a training set that includes a plurality of nodes, edges, and node labels. In forming the training set, the technique associates a feature set with each node in the training set that describes the network activity exhibited by that node's entity. The technique then connects each pair of nodes in the training set with an edge if the feature sets of the pair satisfy a prescribed test for similarity. The technique assigns labels to at least some nodes to convey whether the nodes are associated abusive network-related activity.

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: A method of synchronizing system state data is provided. The method includes executing a first processor based on initial state data during an update cycle, wherein the initial state data represents a state of the system prior to initiation of the update cycle, detecting changes in state of the system by the first processor using sensors, the changes in state being added to a record of modified state data until a predefined progress position within the update cycle, designating the modified state data as next state data, based on reaching the predefined progress position within the update cycle, and transitioning from execution of the first processor based on the initial state data to execution of the first processor based on the next state data, based on completion of the update cycle.

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: 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: Reducing overheads of recording a replayable execution trace of a program's execution at a computer processor by omitting logging of accesses to memory addresses whose values can be reconstructed or predicted. A computer system determines that memory values corresponding to a range of memory addresses within a memory space for a process can be obtained separately from the process' execution, and configures a data structure for instructing a processor to omit logging of memory accesses when the processor accesses an address within this range while executing the process. Correspondingly, upon detecting a memory access while executing the process, the processor determines if it has been instructed to omit logging of the access by checking the data structure. When the data structure instructs the processor to omit logging of the access, the processor omits logging the memory access while it uses a cache to process the memory access.

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: 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: 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: 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: 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: 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: 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: 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: Improved techniques for re-localizing Internet-of-Things (IOT) devices are disclosed herein. Sensor data digitally representing one or more condition(s) monitored by an IOT device is received. In response, a sensor readings map is accessed, where this map is associated with the IOT device. The map also digitally represents the IOT device's environment and includes data representative of a location of the IOT device within the environment. The map also includes data representative of the conditions monitored by the IOT device. Additionally, the map is updated by attaching the sensor data to the map. In some cases, a coverage map can also be computed. Both the sensors readings map and the coverage map can be automatically updated in response to the IOT device being re-localized.

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: An activity smoothener circuit is provided to control rates of change in processing activity to limit di/dt in activity areas of an IC to mitigate voltage droops or overshoots. Controlling the rate of change of activity prevents or reduces instances of a di/dt exceeding a programmed maximum that is based on physical limits of the IC and/or a package. In examples, the activity smoothener circuit includes a hierarchy of smoothening circuits controlling activity in areas down to individual circuit blocks (tiles) including execution circuits. An indication of a desired level of activity is provided to a parent smoothening circuit and the parent smoothening circuit responds with indications of actual activity allowed to occur. At each level of hierarchy, the activity smoothener circuit may use algorithms to generate indications of actual activity based on indications of desired activity and di/dt limits. Di/dt limits and current minimums and maximums are controlled.

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: Aspects of the present disclosure relate to sustainability-aware computing device behavior management. In examples, a sustainability platform obtains sustainability information associated with an energy grid, as may be provided by a data provider. The sustainability platform may provide a sustainability forecast, which may be received and cached by a computing device. The computing device may use the sustainability forecast to manage various device functionality, such that functionality may be performed during one or more times that are identified to have a comparatively lower environmental impact, thereby deferring device energy consumption during a time forecasted to have a higher environmental impact. The sustainability forecast cached by the computing device may be updated on a periodic basis or in response to determining that the location of the computing device (and, potentially, the associated energy grid) has changed, among other examples.

Abstract: Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.

Abstract: The disclosure herein describes systems and methods for object data storage. In some examples, the method includes generating a profile for an object in a directory, the profile including a first feature vector corresponding to the object and a global unique identifier (GUID) corresponding to the first feature vector in the profile; generating a search scope, the search scope including at least the GUID corresponding to the profile; generating a second feature vector from a live image scan; matching the generated second feature vector from the live image scan to the first feature vector using the generated search scope; identifying the GUID corresponding to the first feature vector that matches the second feature vector; and outputting information corresponding to the object of the profile identified by the GUID corresponding to the first feature vector.

Abstract: A method, computer program product, and computer system for placing, by a computing device, a user into a first queue on a first communication channel to converse with a second user. A trigger may be identified for the first communication channel. The user may be sent a self-service option based upon, at least in part, identifying the trigger for the first communication channel, wherein the self-service option is sent on an alternate communication channel while the user is in the first queue.

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: A scheme for modifying an image is disclosed, which includes receiving a source image having a first image configuration; determining a second image configuration for a target image; providing the received source image to an AI engine trained to identify, based on a set of rules related to visual features, candidate regions from the source image; generating proposal images based on the candidate regions, respectively; determining, based on prior aesthetical evaluation data, an aesthetical value of each regional proposal image; and selecting, based on the determined aesthetical value of each regional proposal image, one of the regional proposal images as the target image; extracting, from the AI engine, the target image; and causing the target image to be displayed via a display of a user device.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for providing contextual profile data related to code. In embodiments, a contextual indicator indicating at least a portion of code accessed at a user device and/or a developer associated with the at least the portion of code is obtained. Based on the contextual indicator, contextual profile data related to the code and/or the developer is determined by communicating, via a network, with a remote server having a global repository including the at least the portion of code. Thereafter, the contextual profile data is provided for display in a profile card associated with the developer.

Abstract: An apparatus includes an output bus configured to store data, a match table, one or more storage devices, and logic. The match table is configured to store a plurality of entries, each entry including a key value, wherein the match table specifies a matching entry in response to being queried by the query data. The one or more storage devices are configured to store operation information for each of the plurality of entries stored in the match table. The operation information specifies one or more instructions associated with each respective entry in the plurality of entries stored in the match table. The logic is configured to receive one or more operands from the output bus, identify one or more instructions from the one or more storage devices, and generate, based on the one or more instructions and the one or more operands, processed data.

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: Example aspects include techniques for employing cross-service diagnostics for cloud service providers. These techniques may include dynamically generating a workflow of one or more diagnostic modules based on relationship information between an origin service experiencing an incident and one or more related services that the origin service depends on, and executing the workflow of one or more diagnostic modules to determine a root cause of the incident, each of the one or more diagnostic modules implemented by an individual service of the one or more related services in accordance with a schema. In addition, the techniques may include determining a diagnostic action based on the root cause, and transmitting, based on the diagnostic action, an engagement notification to a responsible entity.

Abstract: Aspects of the present disclosure relate to an animated notification indicator, which may be used to provide an indication of a notification. The animated notification indicator may be less distracting than displaying the notification itself, while, compared to a static indicator, the animated notification indicator may have a higher likelihood of catching the user's attention. The indicator may be animated for a predetermined amount of time, after which it may transition to a static indicator. Interaction with the indicator may display an associated notification, perform an associated action, or present a notification preview and/or set of quick actions, among other examples. In some instances, a context associated with the user's computing device may be processed by a notification platform, and the notification may thus be determined remotely. As a result, the animated notification indicator may be presented at the user's computing device as a result of such a remote determination.

Abstract: Methods and systems are disclosed for improving dialog management for task-oriented dialog systems. The disclosed dialog builder leverages machine teaching processing to improve development of dialog managers. In this way, the dialog builder combines the strengths of both rule-based and machine-learned approaches to allow dialog authors to: (1) import a dialog graph developed using popular dialog composers, (2) convert the dialog graph to text-based training dialogs, (3) continuously improve the trained dialogs based on log dialogs, and (4) generate a corrected dialog for retraining the machine learning.

Abstract: The devices, systems, and methods described herein enable automatically configuring an electronic device using artificial intelligence (AI). The devices, systems, and methods enable accessing telemetry data representing device usage data, inputting the accessed telemetry data into machine learning models that are matched to device metadata, and determining notifications to publish to components of the electronic device. The notifications represent events predicted to occur on the electronic device. The notifications are published to the components of the electronic device such that the electronic device is configured according to the published notifications. The determined notifications enable the identification of optimal settings for the electronic device based on the usage pattern of the device and enable components of the electronic device to preemptively take action on events which are predicted to occur in the future.

Abstract: Traditionally, meetings are widely utilized in business and personal communications, whether in-person and/or virtual. Organizing such meetings typically involves multiple exchanges of content and messages between users before, during, and after the meeting. In some cases, meetings may occur impromptu and may result in inefficient and unproductive collaboration. A collaboration object configured to enable users to dynamically collaborate before, during, and after a meeting is provided. In aspects, the collaboration object links content generated before, during, and after the meeting in a single location and provides functionality for concurrent multi-user interaction and synchronization of the content across applications. The collaboration object may be available from a variety of application platforms, enabling and persisting real-time editing and collaboration before, during and after the meeting.

Abstract: A method, computer program product, and computing system for receiving feature-based voice data associated with a first acoustic domain. One or more rate-based augmentations may be performed on at least a portion of the feature-based voice data, thus defining rate-based augmented feature-based voice data.

Abstract: The disclosure herein describes generating an application from input content. Input content of a content type is obtained, such as an image file, digital document file, or the like. A content data extractor is selected from a set of content data extractors based on the content type. A set of content entities is extracted from the obtained input content using the selected content data extractor, such as text labels, text boxes, buttons, or the like. The set of content entities are normalized according to a standard interface schema and an application template is generated using the normalized set of content entities, whereby an application can be developed using the generated application template. The disclosure enables application interfaces to be designed using a variety of methods and for those different types of designs to be efficiently converted to a functional application.

Abstract: An end-to-end service delivery system provides customers representing mobile network and enterprise operators with an online repository for services that are created from virtual network functions, and which are available from multiple service creators and operable across infrastructure underlying the customer's software-defined networking-based mobile network including diverse private, public, and hybrid cloud platforms. The network functions delivery system provides a user interface (UI) exposing a catalog of differentiated services of varying types. When the customer selects a service from the catalog, the service delivery system uses an installation engine to deploy the selected service on the customer's mobile network. The system provides a lifecycle management and orchestration engine that orchestrates the deployed service on an end-to-end basis across domains and network platforms.

Abstract: Systems and methods for using a generative artificial intelligence (AI) model to generate a suggested draft reply to a selected message. A message generation system and method are described that use inferred context to improve the suggested draft reply message for the user. Various message data and additional context are obtained and included in a prompt provided to the AI model to improve suggested content. In some examples, the message data and additional context include a message thread history and previously sent messages, profile information of the sender and recipient(s) of the selected message, known relationship information between the sender and the user, etc. For instance, the user's preferred communication style and talking points can be inferred based on the profile data, relationship data, and the user's past communications with similar participants and used to tailor the suggested draft reply to the user.

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: 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: 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: 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: 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.