Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A training system produces a resource-efficient machine-trained model via a training architecture that employs plural processing paths. Some of the processing paths incorporate the use of auxiliary information that imparts external knowledge about source items being processed. The training architecture also employs contrastive learning that operates at different respective levels within the training architecture. For instance, the training architecture uses encoder-level contrastive learning to compare output information generated by different encoders within the training architecture. The training architecture uses decoder-level contrastive learning to compare output information produced by different decoders within the training architecture. An inference-stage system performs an application task using the model produced by the training system.

Abstract: Technologies are disclosed for temporarily hiding user interface (“UI”) elements, such as application windows or tabs. A request can be received to hide a UI element for a specified period of time. When such a request is received, the UI element is hidden and an identifier corresponding to the UI element is moved from a first area of a taskbar to a second area of the taskbar. The application presenting the UI element can be configured for reduced consumption of computing resources while the UI element is hidden. Additionally, notifications associated with the UI element can be disabled while the UI element is hidden. When the specified period of time to hide the UI element has elapsed, the UI element is once again displayed. Additionally, the identifier corresponding to the UI element is moved from the second area of the taskbar back to the first area of the taskbar.

Abstract: In various examples, there is provided a computer-implemented method for writing transaction log entries to a transaction log for a database system. At least part of the database system is configured to be executed within a trusted execution environment. The transaction log is stored outside of the trusted execution environment. The method maintains a first secure count representing a number of transaction log entries which have been written to the transaction log for transactions which have been committed to the database and writes a transaction log entry to the transaction log. In other examples, there is also provided is a computer-implemented method for restoring a database system using transaction log entries received from the transaction log and a current value of the first secure count.

Abstract: A device for use with a touch surface digitizer, the device comprising: a sensor configured to receive uplink signals emitted by a grid of antennas in the digitizer; and a controller configured to detect the uplink signals via the sensor; wherein the controller is further configured to determine a speed of the device based on a detected sequence of the uplink signals as received at the sensor from one or more junctions of the antenna grid relative to a predetermined spatial pattern of the uplink signals as emitted across the grid.

Abstract: Implementations of the disclosed technologies pre-fetch search results. Implementations receive first input from a search session of a user device, where the first input includes at least a portion of a search term but does not initiate a search. Implementations determine context data associated with the first input, determine that a combination of the first input and the context data satisfies a pre-fetch threshold, determine intent data based on at least a portion of the context data, generate a search query based on the first input and the intent data, and pre-fetch a first subset of search results based on the search query. In response to a second input received subsequent to the first input, where the second input contains an initiate search signal, implementations initiate rendering of the pre-fetched first subset of search results in the search session at the user device.

Abstract: A storage device for booting a host computing device includes a first storage memory region having a first storage memory controller, a second storage memory region having a second storage memory controller, and a resilient boot controller. The resilient boot controller is configured to store boot code in the first storage memory region, prevent write access by the host computing device through the first storage memory controller to the first storage memory region, detect a reset of the host computing device through the input/output interface, copy at least a portion of the boot code from the first storage memory region to the second storage memory region, responsive to detection of the reset of the host computing device, and enable read access of the copied boot code by the host computing device through the second storage memory controller of the second storage memory region, responsive to the copy operation.

Abstract: Embodiments maintain a data pool that includes heterogeneous data sets, and receiving a first data batch of a data set from a data source into the data pool. Embodiments determine a current state of the data set based on a data set state diagram including a plurality of data set states, and identify a condition of the first data batch. Embodiments further set a data batch state for the first data batch, based on a data batch state diagram, and update the data batch state of a prior data batch received before the first data batch, based on the condition of the first data batch. Embodiments additionally transition the data set state diagram, based on the condition of the first data batch, to an updated data set state. Embodiments maintain a data state repository storing the data set state for each of the plurality of heterogeneous data sets.

Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: A face-processing system is described for producing a target image based on a source image and driving information. The source image includes data depicting at least a face of a source subject having a source identity, a source pose, and a source expression. The driving information specifies one or more driving characteristics. The target image combines characteristics of the source image and the driving information. According to illustrative implementations, the face-processing system produces the target image by using plural warping subcomponents that operate at plural respective levels of a neural network and at increasing respective resolutions. Each warping subcomponent operates, in part, based on geometric displacement field (GDF) information that describes differences between a source mesh derived from the source image and a driving mesh derived from the driving information.

Abstract: Computing system enhancements make container instantiation faster, reduce layer content storage demands, and make more container image formats available. A container instantiation location sends a container image pull request to a container registry, receives an image manifest, sends a layer mount request to the registry instead of a layer content download request, receives a layer mount, optionally repeats for additional layers, creates a union file system spanning the layers, and launches a container process based on the union file system without first downloading all the layer content.

Abstract: A method, computer program product, and computing system for generating a three-dimensional model of at least a portion of a three-dimensional space incorporating an ACI system via a video recording subsystem of an ACI calibration platform; and generating one or more audio calibration signals for receipt by an audio recording system included within the ACI system via an audio generation subsystem of the ACI calibration platform.

Abstract: Computing systems, devices, and methods of dynamic image composition for container deployment are disclosed herein. One example technique includes receiving a request for accessing a file from a container process. In response to receiving the request, the technique includes querying a mapping table corresponding to the container process to locate an entry corresponding to a file identifier of the requested file. The entry also includes data identifying a file location on the storage device from which the requested file is accessible. The technique further includes retrieving a copy of the requested file according to the file location identified by the data in the located entry in the mapping table and providing the retrieved copy of the requested file to the container process, thereby allowing the container process to access the requested file.

Abstract: Particular aspects of this disclosure relate to computerized systems for generating and using improved data structures and functionality to efficiently render different multiple access-controlled resources (or properties of access-controlled resources) that are part of a concept. Often times, two or more resources of a concept or properties of a resource are subject to different access controls. This adds computing complexity as to whether or not a user is granted access to the entire concept or resource, a portion of the concept or resource, or none of the concept or resources and what exactly is surfaced back to the user when there are resources or properties the user does and does not have access to. Some embodiments accordingly render an efficient composite view of concepts or resources where some resources or properties are accessible by the requesting user, while other resources or properties are not accessible by the requesting user.

Abstract: According to examples, a host device may be instructed to pre-spawn a number of first host processes and a number of second host processes, in which the number of first host processes and the number of second host processes are defined in a first scaling constraint and are each greater than or equal to one. The host device may pre-spawn the second host processes in one or more computing nodes through identification of a host process of the first host processes that is unbound from a client session, termination of the identified host process, and pre-spawning of a second host process that provides a second version of the service based on the termination. The host device may also decrease the number of first host processes and increase the number of second host processes in the one or more computing nodes as defined in a second scaling constraint.

Abstract: Example implementations include a method, apparatus, and computer-readable medium configured for generating a network configuration using a large language model (LLM). The apparatus receives, at an interface between a user and LLM, a natural language intent for a network configuration. The apparatus requests the large language model to update the network configuration to an updated network configuration that satisfies the natural language intent in a declarative network configuration language. The apparatus verifies whether the updated network configuration satisfies a configuration syntax of the declarative network configuration language to detect an error. The apparatus requests the large language model to update the updated network configuration to correct the error. The apparatus deploys the updated network configuration to a user network.

Abstract: Memory arrays employing flying bit lines to increase effective bit line length for supporting higher performance, increased memory density, and related methods. To increase memory density, the memory array has a first memory sub-bank and one or more second memory sub-banks. The first memory sub-bank includes a first bit line(s) for each of its memory column circuits. To avoid the need to extend the length of the first bit lines to be coupled to the second memory bit cells in the second memory sub-bank, each memory sub-bank has its own dedicated first and second bit lines coupling their respective memory bit cells to access circuitry. The second bit lines effectively “fly” independent of the first bit lines of the first memory sub-bank. The first bit lines of the first memory sub-bank do not have to be extended in length to provide bit lines for the second memory sub-bank.

Abstract: Described are examples for providing service level monitoring for a network hosting applications as a cloud service. A service level monitoring device may receive end-to-end measurements of service usage collected at user devices for a plurality of applications hosted as a cloud services. The service level monitoring device may determine degraded applications of the plurality of applications based on anomalies in the measurements. The service level monitoring device may determine a service level metric based on an aggregation of the degraded applications. In some examples, the service level monitoring device may detect a network outage affecting the service.

Abstract: A computer implemented method includes obtaining data for raw image frames captured by a moving camera. The raw image frames are indexed geographically, and a graph is created from the multiple raw image frames. The graph includes image frames as vertices and edges that represent image frames having overlapping image information. The method further includes skipping frames based on the amount of overlap, determining a frame having an interesting feature, using the graph to find additional raw image frames that have the interesting feature, combining multiple raw image frames to form a unique image frame, and transmitting the unique image frame.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums which provide for sidebar communication threads forked from, or related to, a principal thread. Messages in the sidebar communication thread may include a history of the principal thread, including one or more messages from the principal thread, and may include a proposed principal thread message that is the subject of the sidebar thread discussion. The sidebar thread may also include sidebar thread messages that carries the conversation of the sidebar thread participants. Once a termination condition is reached for the sidebar thread, the sidebar thread terminates and either the proposed principal thread message (as potentially modified by participants of the sidebar thread) becomes an accepted principal thread message and it is posted to the principal thread as if it was sent by the sidebar initiator or no message is posted (e.g., the proposed principal thread message is rejected).