Abstract: A computing device configured to removably attach a component comprises a housing comprising first and second device electromagnets. A wireless charging transmitting antenna is between the electromagnets. Instructions are executable by a processor to synchronize a first device current through the first device electromagnet with a first component current through a first component electromagnet of the component to attract the electromagnets, and to synchronize a second device current through the second device electromagnet with a second component current through a second component electromagnet of the component to attract the electromagnets.

Abstract: A query-processing technique includes an operation of matching the input query against a plurality of candidate target items, to produce a set of candidate query-item pairings. The matching is applicable to different classes of matching, but is performed by a computer processing architecture that uses a class-agnostic instance of query-processing logic and a class-agnostic target item index. After the matching operation, the technique assigns a matching class to each candidate query-item pairing in the set of candidate query-item pairings, to produce a set of classified pairings. The technique ultimately serves a particular output item to an end user, where the particular output item is chosen based on the results of the matching and assigning. Some implementations of the technique include a filtering operation whereby the candidate-item pairings are filtered to conform to a specified selection strategy or strategies. This filtering operation supplements or replaces the assigning operation.

Abstract: A data processing system implements receiving an access request from the client device of a content requestor to access a content item for which access to the content item is managed by a content access management platform and obtaining access control information. The access control information comprising information associated with a content owner associated with the content item, information associated with the content requestor, and information associated with the content item.

Abstract: A data processing system implements receiving a far-end signal associated with a first computing device participating in an online communication session and receiving a near-end signal associated with a second computing device participating in the online communication session. The near-end signal includes speech of a target speaker, a first interfering speaker, and an echo signal. The system further implements providing the far-end signal, the near-end signal, and an indication of the target speaker as an input to a machine learning model. The machine learning model trained to analyze the far-end signal and the near-end signal to perform personalized noise suppression (PNS) to remove speech from one or more interfering speakers and acoustic echo cancellation (AEC) to remove echoes. The model is trained to output an audio signal comprising speech of the target speaker. The system obtains the audio signal comprising the speech of the target speaker from the model.

Abstract: Systems and methods for protecting privacy-relevant data from unauthorized disclosure in source code of an application. For instance, the present disclosure provides a plurality of technical features including: a privacy-relevant data analyzer that analyzes source code, detects privacy-relevant data in the source code, and generates a report of instances of detected privacy-relevant data. In some examples, the privacy-relevant data analyzer scans through source code to detect annotations that denote if fields, records, or combinations thereof include privacy-relevant data. The privacy-relevant data analyzer further generates and provides a report of detected privacy issues associated with sensitive data included in source code so that the issues can be resolved to ensure that privacy is not breached.

Abstract: A hardware retire circuit includes: one or more input queues, each queue corresponding to an input stream of tasks and being configured to store input task identifiers corresponding to tasks of the input stream; and processing logic configured to: receive a completed task event; determine whether a completed task queue identifier and a completed task identifier of the completed task event match an input task identifier of an input task at a head of an input queue having an input queue identifier corresponding to the completed task queue identifier; and in response to determining a match, pop the task at the head of the input queue and output a task retirement event corresponding to the input task.

Abstract: A method of managing a wireless communication between a plurality of accessory devices and a host device includes, at the host device, establishing a data connection with a plurality of accessory devices, obtaining a radio ID for each accessory device of the plurality of accessory devices, grouping the plurality of accessory devices into at least one OFDMA device and at least one non-OFDMA device based at least partially on the radio IDs, sending a trigger signal to the at least one OFDMA device; and after receiving a first response signal from the at least one OFDMA device in response to the trigger signal, receiving a second response signal from the at least one non-OFDMA device.

Abstract: Examples are disclosed that relate to computing devices, head-mounted display devices and methods for remote collaborations. In one example a computing device receives a first spatial mapping of a first environment and a second spatial mapping of a second environment. The computing device determines that a first volumetric space in the first environment and a second volumetric space in the second environment each satisfy at least one collaboration criterion. Based on this determination, an indication of the first volumetric space is displayed by a first display device in the first environment, and an indication of the second volumetric space is displayed by a second display device in the second environment.

Abstract: Environment type validation can provide a tamper-resistant validation of the computing environment within which the environment type validation is being performed. Such information can then be utilized to perform policy management, which can include omitting verifications in order to facilitate the sharing of policy, such as application licenses, from a host computing environment into a container virtual computing environment. The environment type validation can perform multiple checks, including verification of the encryption infrastructure of the computing environment, verification of code integrity mechanisms of that computing environment, checks for the presence of functionality evidencing a hypervisor, checks for the presence or absence of predetermined system drivers, or other like operating system components or functionality, checks for the activation or deactivation of resource management stacks, and checks for the presence or absence of predetermined values in firmware.

Abstract: Technologies for on-device experimentation include embodiments that receive a request to provide digital content for display in a slot of a user interface display screen of a first device. By a secure execution environment, an identifier received with the request is anonymized. The request is determined to be associated with a content distribution test. The anonymized identifier is assigned to a test group associated with the content distribution test. The secure execution environment receives user interface event data generated by the first device in response to the content distribution test. The received user interface event data is attributed to the test group. An association of the user interface event data with the test group and the content distribution test is provided by the secure execution environment to a second device different than the first device while the identifier and the anonymized identifier are not provided to the second device.

Abstract: The present invention generally relates to systems and methods for providing an enterprise user with an electronic identity and an electronic mailbox when the user has denied, degraded, intermittent, or latent network connectivity. In aspects, a database limited to a single user containing the user's electronic identity and electronic mailbox is provided. The single user database is replicated using a multi-master replication scheme across the cloud and on-premises servers. When a user is entering an environment with denied, degraded, intermittent, or latent network connectivity (“DDIL”), the single user database is replicated to a DDIL server. The user is provided access to their electronic identity and electronic mailbox in the single-user database via the DDIL server during periods of denied, degraded, intermittent, or latent network connectivity.

Abstract: Technologies for managing metadata of files in unstructured data storage are described. Embodiments include receiving, by selecting a set of datapath patterns. Embodiments include building an index from the selected set of datapath patterns that refers to at least one particular portion of a file path. Embodiments include receiving an identifier for the data file. Embodiments include matching the identifier to a datapath pattern of the set of datapath patterns using the index. Embodiments include determining a metadata label associated with the datapath pattern. Embodiments include associating the metadata label with the data file.

Abstract: Trusted execution of a workload payload is brokered among multiple trusted execution platforms. The workload payload is received from a source computing system and includes input data, trusted execution code, and one or more trusted execution policies. At least one of the multiple trusted execution platforms is selected based on the one or more trusted execution policies. A brokered payload is generated to include executable trusted execution code and the input data. The brokered payload is communicated to the selected at least one trusted execution platform. A brokered result generated from the brokered payload by the selected at least one trusted execution platform is received. A workload result based on the brokered result is returned to the source computing platform.

Abstract: An integrated fastener includes a threaded portion, a fastener head, and one or more spring fingers integrated into the fastener head, wherein the spring fingers are configured to apply a compressive load when the fastener is inserted and secured to a receiving assembly.

Abstract: This document relates to an optical device that uses adaptive optics as part of an optical system. The adaptive optics can be used to correct light rays that correspond to a portion of an eye box based on information received from an eye-tracking unit, and can also correct for aberrations in the optics in the optical device. The adaptive optics include corrective elements that can be modified using modifying elements to correct the angle of light rays, such that rays associated with a specific pupil position and gaze direction of a user's eye can be made parallel and ensure a high quality image is viewed by the user.

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: The technology described herein protects the privacy and security of data stored in a knowledge graph (“graph”) by enforcing visibility policies when returning property information in response to a query or other attempt to extract property information from the graph and/or about the graph. The visibility policies may be stored with the object and used to prevent restricted properties from being extracted from the object, let alone the graph. The object-specific visibility policy may be stored in the storage layer of the knowledge-graph object with the object properties and content. Some implementations may include multiple visibility records for a single object. Together the visibility records form the object visibility policy. An object visibility policy may have a single visibility record or multiple visibility records.

Abstract: Embodiments of the described technologies are capable of reading a text sequence that include at least one word; extracting model input data from the text sequence, where the model input data includes, for each word of the text sequence, segment data and non-segment data; using a first machine learning model and at least one second machine learning model, generating, for each word of the text sequence, a multi-level feature set; outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence; executing a search based at least in part on the tagged version of the text sequence.

Abstract: This disclosure describes techniques for addressing and/or accounting for path failures (e.g., congestion, link failures, disconnections, or other types of failures) within a network environment. In one example, this disclosure describes a method that includes receiving, by a node connected to a plurality of interconnected nodes, a network packet to be forwarded to a destination node; identifying, by a forwarding plane within the node, a first link along a path to the destination node; determining, by the forwarding plane, that the first link is inoperable; storing, by the node and within the network packet, data identifying the node as having been visited; identifying, by the forwarding plane and from among the plurality of egress links from the node, a second link that is operable and is along an alternative path to the destination node; and transmitting the network packet over the second link.

Abstract: The techniques disclosed herein enable systems to reduce the time required to terminate a set of microservices for an application while ensuring high availability and preventing request failures. This is accomplished through a termination manager which retrieves request queues for the microservices to analyze outstanding requests that require processing prior to termination. Based on the outstanding requests, the termination manager constructs call graphs for each request. The call graphs capture the operational flow of the associated request by defining a sequence of microservices whose functionality is invoked by the request. From an initial analysis, the termination manager can determine that some of the microservices do not appear in the call graphs, indicating that the microservices are not needed to process the outstanding requests. Accordingly, the unneeded microservices are terminated.

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: 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: Methodologies for testing resiliency of server computer environments with greater security are disclosed. Access is provided to a subset of server computer resources to a client user within a distributed server computer platform to form the server computer environment. An ephemeral fault injector program is instantiated to implement a resiliency experiment within server computer environment. The ephemeral fault injector program is configured to self-terminate within the server computer environment upon completion of the resiliency experiment.

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: 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: 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 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: 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: 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: 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: 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 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 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: 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: 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: 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: 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: 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: 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: 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).

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: Techniques of keyless authentication of computing services in distributed computing systems are disclosed herein. One example technique includes upon receiving a command to instantiate a computing service, transmitting a request to an authentication service for an identity assertion token corresponding to an application execution of which instantiates the computing service. The example technique can also include upon receiving the requested identity assertion token, storing the received identity assertion token in the container and modifying an entry of a configuration file in the container that allows the instantiated computing service to access the stored identity assertion token and authenticate to the authentication service using the identity assertion token.

Abstract: Technologies for providing event-level data privacy for streaming post analytics data include, in some embodiments, receiving a data stream that includes instances of count data collected over a time interval, computing a true count breakdown that includes a set of sub-counts of non-public user interface interactions on the post, creating a noisy count breakdown by applying at least one differential privacy mechanism to the set of sub-counts, and streaming the noisy count breakdown instead of the true count breakdown to a computing device. At least one of the sub-counts is a count that is associated with a particular value of an attribute that has different possible values. The attribute is associated with the non-public user interface interactions on the post.

Abstract: Methods, systems, and computer programs are presented for selecting notifications based on an affinity score between a content generator and a viewer of the content. One method includes capturing interactions of content generators with notifications, received by the content generators, associated with viewer responses to creator-generated content items. The method further includes training a machine-learning model based on the interactions, and detecting a first set of notifications, for a first content generator, associated with interactions of a set of viewers to first-content generator content. The ML model calculates an affinity score between the first content generator and each viewer, and the set of first notifications are ranked based on the affinity scores of the first content generator and the viewer associated with each notification.

Abstract: Examples are disclosed that relate to applying haptic output to a touch-sensitive input device. One example provides a touch-sensitive input device comprising a body, a haptic feedback mechanism within the body, a sensor subsystem, a logic processor, and a memory. The memory stores instructions executable by the processor to receive from the sensor subsystem sensor data indicating locations along the body of a plurality of contact points between a user hand and the body, based at least in part on the sensor data, determine a touch profile of the user hand applied to the body, based at least in part on the touch profile of the user hand, determine a selected haptic output to be applied to the body, and cause a drive signal to be transmitted to the haptic feedback mechanism to apply the selected haptic output to the body.

Abstract: Systems and methods for generating a shared collaborative channel for collaboration are provided. In particular, a computing device may receive a request, from an originating member of an organization, to create the shared collaborative channel, the request including an invitee to be added to the shared collaborative channel. In response to receipt of the request, the computing device may provision a substrate group by creating a container associate with the shared collaborative channel including a substrate database associated with the shared collaborative channel, generate an invitation including a custom link to the shared collaborative channel for the invitee, and determine whether the invitee belongs to an originating collaboration team associated with the originating member based on the substrate database. If the invitee belongs to the originating collaboration team, the computing device may further update the substrate group to add the invitee as a new member of the shared collaborative channel.

Abstract: This document relates to training and employing a quality estimation model. One example includes a method or technique that can be performed on a computing device. The method or technique can include providing degraded audio signals to one or more packet loss concealment models, and obtaining enhanced audio signals output by the one or more packet loss concealment models. The method or technique can also include obtaining quality labels for the enhanced audio signals and training a quality estimation model to estimate audio signal quality based at least on the enhanced audio signals and the quality labels.

Abstract: Indirect time-of-flight camera systems for operating in multiple optical channels using active modulated light and accompanying methods of operation are provided. In one aspect, the indirect time-of-flight camera system includes first and second modulatable laser sources outputting light of different wavelengths for illuminating a target environment. The camera system further includes a wavelength-selective reflective element designed to reflect the light of a first wavelength and to transmit the light of a second wavelength. The camera system further includes a controller comprising instructions executable to control the camera system to, in a first time period, activate the first modulatable laser source and deactivate the second modulatable laser source, and in a second time period, deactivate the first modulatable laser source and activate the second modulatable laser source.

Abstract: Examples are disclosed that relate to generating expressive avatars using multi-modal three-dimensional face modeling and tracking. One example includes a computer system comprising a processor coupled to a storage system that stores instructions. Upon execution by the processor, the instructions cause the processor to receive initialization data describing an initial state of a facial model. The instructions further cause the processor to receive a plurality of multi-modal data signals. The instructions further cause the processor to perform a fitting process using the initialization data and the plurality of multi-modal data signals. The instructions further cause the processor to determine a set of parameters based on the fitting process, wherein the determined set of parameters describes an updated state of the facial model.

Abstract: A foldable computing device comprises a first frame rotatably coupled to a second frame. The second frame comprises a push-to-open mechanism comprising an actuator and a power switch located for actuation by the actuator. A detection mechanism detects a displaced position of the actuator that corresponds to releasing the foldable computing device from a closed configuration. Actuation of the power switch is detected and used with detection of the displaced position of the actuator to control an operating state of the computing device.