Abstract: Techniques are described herein that are capable of detecting potential malicious use of a resource management agent using a resource management log. The resource management log is analyzed. The resource management log logs API requests that request that a resource management system cause the resource management agent to perform respective operations. An anomalous operation is detected among the operations based at least in part on an identified API request satisfying one or more criteria associated with anomalous behavior. The identified API request requests that the resource management system cause the resource management agent, which is loaded on a machine and which enables the resource management system to remotely manage resources associated with the machine, to perform the anomalous operation. An alert is generated to notify a user of the potential malicious use of the resource management agent based at least in part on detection of the anomalous operation.

Abstract: Methods, systems, apparatuses, and computer program products are provided that enable immediate access to data associated with a source blob. The foregoing is achieved by creating a copy-on-read blob based on the source blob and a link blob based on the copy-on-read blob for each virtual machine to be deployed. When creating the copy-on-read blob, the source blob is not copied. Instead, data from the source blob is copied to the copy-on-read blob upon request by a virtual machine. Subsequent requests for that data are retrieved from the copy-on-read blob. Each link blob stores write data provided by its corresponding virtual machine. When a virtual machine requests data, its corresponding link blob is checked for the data. If the data is not stored therein, the copy-on-read blob is checked for the data. If the copy-on-read blob does not store the data, the data is retrieved from the source blob.

Abstract: An end-to-end automatic speech recognition (ASR) system includes: a first encoder configured for close-talk input captured by a close-talk input mechanism; a second encoder configured for far-talk input captured by a far-talk input mechanism; and an encoder selection layer configured to select at least one of the first and second encoders for use in producing ASR output. The selection is made based on at least one of short-time Fourier transform (STFT), Mel-frequency Cepstral Coefficient (MFCC) and filter bank derived from at least one of the close-talk input and the far-talk input. If signals from both the close-talk input mechanism and the far-talk input mechanism are present for a speech segment, the encoder selection layer dynamically selects between the close-talk encoder and the far-talk encoder to select the encoder that better recognizes the speech segment. An encoder-decoder model is used to produce the ASR output.

Abstract: Apparatus and methods are disclosed for controlling execution of memory access instructions in a block-based processor architecture using a hardware structure that generates a relative ordering of memory access instruction in an instruction block. In one example of the disclosed technology, a method of executing an instruction block having a plurality of memory load and/or memory store instructions includes decoding an instruction block encoding a plurality of memory access instructions and generating data indicating a relative order for executing the memory access instructions in the instruction block and scheduling operation of a portion of the instruction block based at least in part on the relative order data. In some examples, a store vector data register can store the generated relative ordering data for use in subsequent instances of the instruction block.

Abstract: A computer-implemented technique identifies terms in an original reference transcription and original ASR output results that are considered valid variants of each other, even though these terms have different textual forms. Based on this finding, the technique produces a normalized reference transcription and normalized ASR output results in which valid variants are assigned the same textual form. In some implementations, the technique uses the normalized text to develop a model for an ASR system. For example, the technique may generate a word error rate (WER) measure by comparing the normalized reference transcription with the normalized ASR output results, and use the WER measure as guidance in developing the model. Some aspects of the technique involve identifying occasions in which a term can be properly split into component parts. Other aspects can identify other ways in which two terms may vary in spelling, but nonetheless remain valid variants.

Abstract: Techniques are described for orchestrating a cohort deployment in a computing network comprising a plurality of computing nodes implementing a virtualized computing network managed by an orchestrator. The cohort deployment is managed by a deployment broker configured to coordinate the cohort deployment. The cohort deployment includes multiple deployments, where the cohort deployment comprises a parent deployment and a spawned deployment that includes a dependency on the parent deployment.

Abstract: A computing device includes a display, a logic machine, and a storage machine holding instructions executable to display a map via the display, and associate a note with location data defining a geographic location. The note is associated with an annotation displayable on the map. The annotation is associated with a location parameter defining a map location at which the annotation is displayed on the map corresponding to the geographic location associated with the note. The annotation is associated with a zoom parameter defining one or more map zoom levels at which the annotation is displayed on the map. The annotation is associated with a context parameter defining one or more computing device contexts with which the annotation is displayed on the map. A notification corresponding to the note is presented based on the computing device being located within a threshold distance of the geographic location.

Abstract: A liquid-submersible thermal management system includes a cylindrical outer shell and an inner shell positioned in an interior volume of the outer shell. The cylindrical outer shell has a longitudinal axis oriented vertically relative to a direction of gravity, and the inner shell defines an immersion chamber. The liquid-submersible thermal management system a spine positioned inside the immersion chamber and oriented at least partially in a direction of the longitudinal axis with a heat-generating component located in the immersion chamber. A working fluid is positioned in the immersion chamber and at least partially surrounding the heat-generating component. The working fluid receives heat from the heat-generating component.

Abstract: Systems and methods are provided for handing off execution of an application from a local computing device to a cloud-based computing device. The disclosed technology is directed to determining whether and when to initiate handing off the execution of the application based on monitoring resource consumption of the local computing device. When the application is not previously installed on the cloud-based computing device, the local computing device transmits an application installer executable to the cloud-based computing device for enabling use of the same application on the cloud-based computing device.

Abstract: Systems and methods for clustering metrics for reducing a search space of metrics used for service health analyses. Determining a root cause of an event includes performing an automated analysis of metrics associated with the service. To diagnose and resolve events quickly and efficiently, aspects correlate and cluster a plurality of metrics for a specific service based on historical data, where each cluster represents a root cause direction. After clustering metrics by similarity, metrics are scored and ranked to select representative metrics from each cluster, which reduces the dimensionality of the search space. The representative metrics may provide a saliant representation of each metrics cluster. The representative metrics are provided to a service health analyzer, which performs a root cause analysis of the representative metrics to diagnose and mitigate the event.

Abstract: Biosensing measurements (e.g., heart rate, pupil size, cognitive load, stress level, etc.) are communicated in the context of events that occurred concurrently with the biosensing measurements. The biosensing measurements and the contextual events can be presented in real-time or as historical summaries. Such presentations allow users to easily gain useful insights into which specific events triggered which specific physiological responses in users. Therefore, the present concepts more effectively communicate insights that can be used to change user behavior, modify workflow, design improved products or services, enhance user satisfaction and wellbeing, increase productivity and revenue, and eliminate negative impacts on user's emotions and mental state.

Abstract: Systems and methods for deploying dependent updates include mechanisms for requiring that dependency information be provided for each update so that dependent updates may be identified. Update dependencies are tracked so that dependent updates are not deployed until parent updates have been completed. Deployment sequencing is implemented on top of existing asynchronous deployment policies so that asynchronous workflow remains intact and unaltered. The asynchronous workflow is upgraded to a synchronous (i.e., sequential) workflow for updates having dependencies to ensure that updates having dependencies are applied in the correct order.

Abstract: Innovations in the area of prediction of block vector (“By”) values improve encoding or decoding of blocks using intra block copy (“BC”) prediction. For example, some of the innovations relate to use of a default BV predictor with a non-zero value. Other innovations relate to use of a selected one of multiple BV predictor candidates for a current block. Still other innovations relate to use of a skip mode in which a current intra-BC-predicted block uses a predicted BV value.

Abstract: A method for automatically improving the legibility of text within graphic designs is implemented via a computing system including a processor. The method includes executing a graphics application and causing surfacing of a graphic design GUI on a display. The method includes generating a templatized image including text responsive to the user-initiated insertion of a desired image into a design template surfaced via the graphic design GUI. The method also includes assigning a legibility score to the text within the templatized image and, responsive to a determination that the legibility score is less than a predetermined threshold, generating a bounding box around the text area. The method further includes generating an improved templatized image with improved text legibility by selectively blurring the image portion that falls within the bounding box, as well as causing surfacing of the second templatized image via the graphic design GUI.

Abstract: A system for generating a user interface described herein can include a processor to detect a type of the system based on hardware components residing within the system or coupled to the system and determine a user interface manager to execute based on the type of the system. The processor can also execute the user interface manager to generate a user interface for the system, wherein the type of the user interface manager comprises a plurality of rules to indicate a layout of the user interface.

Abstract: A method for computer question answering includes, at a retriever subsystem of a question answering computer system, identifying a plurality of relevant text evidence strings for an input text question. At a linker subsystem of the question answering computer system, one or more of the plurality of relevant text evidence strings are associated with a respective secondary text evidence string to form a plurality of evidence chains via a previously-trained entity-linking machine-learning model. At a chainer subsystem of the question answering computer system, a ranked set of the evidence chains is identified based at least in part on an output of a generative machine-learning model applied to each of the plurality of evidence chains. At a reader subsystem of the question answering computer system, an answer to the input text question is output based at least in part on the ranked set of evidence chains.

Abstract: This document relates to automated generation of machine learning models, such as neural networks. One example method involves obtaining a first machine learning model having one or more first inference operations. The example method also involves identifying a plurality of second inference operations that are supported by an inference hardware architecture. The example method also involves generating second machine learning models by modifying the first machine learning model to include individual second inference operations that are supported by the inference hardware architecture. The example method also involves selecting a final machine learning model from the second machine learning models based on one or more metrics.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A method of operating a computing device in support of improved accessibility includes displaying a user interface to an application on a display screen of the computing device, wherein the computing device includes an accessibility assistant that reads an audible description of an element of the user interface; initiating, on the computing device, a virtual assistant that conducts an audible conversation between a user and the virtual assistant through at least a microphone and a speaker associated with the computing device, wherein the virtual assistant is not integrated with an operating system of the computing device; inhibiting an ability of the accessibility assistant to read the audible description of the element of the user interface; and upon transition of the virtual assistant from an active state, enabling the ability of the accessibility assistant.

Abstract: A training-stage technique trains a language model for use in an ASR system. The technique includes: obtaining a training corpus that includes a sequence of terms; determining that an original term in the training corpus is not present in a dictionary resource; segmenting the original term into two or more sub-terms using a segmentation resource; determining that the segmentation of the original term into the two or more sub-terms is a valid segmentation, based on two or more validity tests; and training the language model based on the terms that have been identified. A computer-implemented inference-stage technique applies the language model to produce ASR output results. The inference-stage technique merges a sub-term with a preceding term if these two terms are separated by no more than a prescribed interval of time.

Abstract: Embodiments detect risky situations in which a domain name record remains viable after the target it identified is not. Such dangling records create various risks because substitute targets, such as fraudulent websites, may be installed without the knowledge of the original target's owner. By obtaining and correlating data from multiple tenants, a cloud service provider detects dangling structures and any attempts to exploit them. Dangling records may specify a custom domain name, for example, or a static IP address that can be misused. In response, the provider's security infrastructure can alert the original target's owner, block the attempted exploit, or otherwise mitigate the risks. Traffic monitoring, control plane API invocations, and domain name server queries may be employed by the security infrastructure to detect resource deletion, resource creation, and resource access attempts that correspond with vulnerable records or suspect activity involving them.

Abstract: The present concepts relate to placing gameplay locations in the real world, where gameplay elements can be generated at the gameplay locations. One example categorizes types of physical elements described in geolocation data, and determines scores for the physical elements based on the categorizations. Gameplay locations can then be utilized according to the scores, and the scores can be continuously refined through user or moderator interaction with gameplay elements that may be generated at the gameplay locations.

Abstract: Examples of the present disclosure describe systems and methods for migrating mailbox identities. In aspects, a system may receive one or more requests to perform tasks for migrating identities of a plurality of mailboxes included in a security group created at a source tenant to a plurality of mail users created at a target tenant that correspond to the plurality of mailboxes. Based on the one or more requests, the system may copy the identities to a data store associated with the target tenant, upload mapping data to the data store, and use that mapping data to map the identities copied to the data store to the corresponding plurality of mail users in the target tenant. For each of the identities mapped, the system may copy at least one or more attributes of the respective identity from the data store to the respective corresponding mail user in the target tenant.

Abstract: In non-limiting examples of the present disclosure, a user input device is provided. The user-input device may include non-contact magnetic, capacitive, or inductive components for translating movements of a joystick into angular positions. Magnets attached to axial shafts of a joystick assembly may cause changes in voltage in magnetometers on a PCB when the axial shafts are rotated, which may be translated into angular positions of the joystick. Conductors attached to axial shafts of a joystick assembly may cause changes in capacitive charge in capacitors on a PCB when the axial shafts are rotated, which may be translated into angular positions of the joystick. Anisotropic magnetically permeable material and/or excitation components attached to axial shafts of a joystick assembly may cause changes in inductance in inductors on a PCB when the axial shafts are rotated, which may be translated into angular positions of the joystick.

Abstract: Methods, systems, and computer program products are provided for sharing user interface (UI) customization across applications. Application developers may create UIs (e.g., game control layouts) with control groups that may be customizable as a group. A control group may comprise a plurality of controls selectively assigned to cluster of sockets (e.g., a socket group) in a layout template. Controls in control groups may be customized as a group, for example, by changing a position, rotation and/or scale of a control group. Users can customize controls for comfort, switch controls for right and left-handed play and share customized preferences across applications. UI customization may be shared across applications with different UIs. For example, customization of one or more control groups in a first UI may be applied to one or more control groups in other UIs for other applications. Users may avoid tedious, time-consuming individual control changes for many UIs.

Abstract: A mixed semiconductor-superconductor platform is fabricated in phases. In a masking phase, a dielectric mask is formed on a substrate, such that the dielectric mask leaves one or more regions of the substrate exposed. In a selective area growth phase, a semiconductor material is selectively grown on the substrate in the one or more exposed regions. In a superconductor growth phase, a layer of superconducting material is formed, at least part of which is in direct contact with the selectively grown semiconductor material. The mixed semiconductor-superconductor platform comprises the selectively grown semiconductor material and the superconducting material in direct contact with the selectively grown semiconductor material.

Abstract: Disclosed herein are techniques for providing an illumination system that emits illumination into an environment while also enabling that system to be undetectable to certain types of external light detection systems. The system includes a single photon avalanche diode (SPAD) low light (LL) detection device and a light emitting device. The light emitting device provides illumination having a wavelength of at least 950 nanometers (nm). An intensity of the illumination is set to a level that causes the illumination to be undetectable from a determined distance away based on the roll off rate of the light. While the light emitting device is providing the illumination, the SPAD LL detection device generates an image of an environment in which the illumination is being provided.

Abstract: Technology is described herein for facilitating a user's interaction with a digital ink document. The technology internally represents the ink document using a data structure having a hierarchy of nodes. The nodes describe respective elements in the ink document. The technology leverages the data structure to identify a set of nodes that grows upon the user's repeated selection of a particular part of the ink document. At each stage of the selection, the technology highlights a set of elements in the ink document that correspond to the current set of identified nodes. According to another illustrative aspect, the technology produces the data structure by modifying an original data structure provided by a text analysis engine. The technology performs this task with the objective of accommodating structured interaction by the user with the ink document.

Abstract: Systems and methods are provided for offloading a task from a central processor in a radio access network (RAN) server to one or more heterogeneous accelerators. For example, a task associated with one or more operational partitions (or a service application) associated with processing data traffic in the RAN is dynamically allocated for offloading from the central processor based on workload status information. One or more accelerators are dynamically allocated for executing the task, where the accelerators may be heterogeneous and my not comprise pre-programming for executing the task. The disclosed technology further enables generating specific application programs for execution on the respective heterogeneous accelerators based on a single set of program instructions.

Abstract: The disclosure derives insight from telemetry data by receiving telemetry data; parsing the received telemetry data to identify properties, and mapping the identified properties to a set of identified tags based at least on a tag library. Based at least on the mapping, the disclosure generates insight data and a report for the telemetry data. In this manner, the disclosure adds structure to data, thereby providing semantic meaning to internet of things (IoT) telemetry data, regardless of the device class or manufacturer. This, in turn, automatically creates applicable insights. Insights are available with a core tag taxonomy, which can be extended and customized. By applying the tags, a user obtains immediate insights related to usage, performance, and health of a monitored product or service.

Abstract: A gaze detection assembly comprises a plurality of infrared (IR) light emitters configured to emit IR light toward a user eye and an IR camera configured to sequentially capture IR images of the user eye. A controller is configured to, during a reference frame, control the plurality of IR light emitters to emit IR light toward the user eye with a reference intensity distribution. During the reference frame, an IR image is captured depicting a first glint distribution on the user eye. Based at least in part on the first glint distribution, during a subsequent frame, the plurality of IR light emitters are controlled to emit IR light toward the user eye with a subsequent intensity distribution, different than the reference intensity distribution. During the subsequent frame, a second IR image is captured depicting a second glint distribution on the user eye.

Abstract: Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.

Abstract: Techniques for generating a high resolution full color output image from lower resolution sparse color input images are disclosed. A camera generates images. The camera's sensor has a sparse Bayer pattern. While the camera is generating the images, IMU data for each image is acquired. The IMU data indicates a corresponding pose the camera was in while the camera generated each image. The images and IMU data are fed into a motion model, which performs temporal filtering on the images and uses the IMU data to generate a red-only image, a green-only image, a blue-only image, and a monochrome image. The color images are up-sampled to match the resolution of the monochrome image. A high resolution output color image is generated by combining the up-sampled images and the monochrome image.

Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

Abstract: A payload is generated by a build computing system. The payload includes payload identifying metadata and deployment target identifier metadata, as well as an application container that includes a set of signed binaries. The payload can be approved for deployment, and a token can be generated for the payload. The token may include a set of claims that include payload identifying information. A payload validation system validates the payload for deployment to a target environment using the payload identifying information.

Abstract: A system includes a stored counter value and a stored boot manifest including a manifest type flag. A manifest type of the boot manifest is determined based on the manifest type flag, a tenancy mode is determined based on a parity of the counter value, a first boot is executed if the manifest type is a first manifest type and the tenancy mode is a first tenancy mode, a second boot flow is executed if the manifest type is the first manifest type and the tenancy mode is a second tenancy mode, a third boot flow is executed if the manifest type is a second manifest type and the tenancy mode is the first tenancy mode, and a fourth boot flow is executed if the manifest type is the second manifest type and the tenancy mode is the second tenancy mode.

Abstract: A computing device is provided, including a plurality of memory devices, a plurality of direct memory access (DMA) controllers, and an on-chip interconnect. The on-chip interconnect may be configured to implement control logic to convey a read request from a primary DMA controller of the plurality of DMA controllers to a source memory device of the plurality of memory devices. The on-chip interconnect may be further configured to implement the control logic to convey a read response from the source memory device to the primary DMA controller and one or more secondary DMA controllers of the plurality of DMA controllers.

Abstract: Techniques of interaction data processing in a distributed computing system are disclosed herein. One example technique includes upon receiving a user interface output having a content item to be surfaced on a client device and a script configured to detect an interaction with the content item at the client device, surfacing the user interface output having the content item on a display of the client device and automatically executing the script embedded in the user interface output to detect an interaction with the surfaced content item at the client device. Upon detecting an interaction with the content item on the surfaced user interface output, the example technique also includes generating and transmitting interaction data representing the detected interaction to a remote server.

Abstract: A system, method and computer-readable storage device provides an improved speech processing approach in which hyper parameters used for speech recognition are modified dynamically or in batch mode rather than fixed statically. The method includes estimating, via a model trained on audio data and/or metadata, a set of parameters useful for performing automatic speech recognition, receiving speech at an automatic speech recognition system, applying, by the automatic speech recognition system, the set of parameters to processing the speech to yield text and outputting the text from the automatic speech recognition system.

Abstract: The present disclosure relates to systems, methods, and computer readable media for predicting surplus capacity on a set of server nodes and determining a quantity of deferrable virtual machines (VMs) that may be scheduled over an upcoming period of time. This determination of VM quantity may be determined while minimizing risks associated with allocation failures on the set of server nodes. This disclosure described systems that facilitate features and functionality related to improving utilization of surplus resource capacity on a plurality of server nodes by implementing VMs having some flexibility in timing of deployment while also avoiding significant risk caused as a result of over-allocated storage and computing resources. In one or more embodiments, the quantity of deferrable VMs is determined and scheduled in accordance with rules of a scheduling policy.

Abstract: Examples described in this disclosure relate to gating a semiconductor layer into a quantum spin Hall insulator state, Certain examples further relate to using quantum spin Hall insulators as topological quantum qubits. Quantum spin Hall systems may rely upon the quantum spin Hall effect by causing a state of a matter to change from a certain phase to an inverted bandgap phase. In one example, the present disclosure relates to a device including a semiconductor layer comprising an active material. The device further includes a gate coupled to the semiconductor layer, where the semiconductor layer is operable in a quantum spin Hall insulator state by using electrons and holes from the active material in response to an application of an electric field to the semiconductor layer via the gate.

Abstract: This document relates to creating and/or updating a chatbot using a graphical user interface. For example, training dialogs for a chatbot can be displayed in a tree form on a graphical user interface. Based at least on interactions between a developer and the graphical user interface, the training dialogs can be modified in the tree form, and training dialogs can be updated based on the modifications provided on the tree form via the graphical user interface.

Abstract: Techniques for evaluating multiple images, which originate from multiple different sources, and for selecting specific images to generate an overlaid image are disclosed. A first set of system camera images (e.g., based on a first FPS rate) and a second set of external camera images (e.g., based on a second FPS rate) are obtained. A set of rules are accessed in order to govern a selection process for selecting a specific system camera image and a specific external camera image. The selected images are designated for use in generating an overlaid image. The selection process is performed using the accessed set of rules. The overlaid image is generated by overlaying and aligning content obtained from the selected images.

Abstract: Techniques are disclosed for providing scalable and concurrent file systems. A backend storage system comprising an interface and a processing unit may be configured to perform the techniques. The interface may present the file system storing objects representative of data. The processing unit may receive, from a frontend host system coupled to the backend storage system, a plurality of client operations to perform with respect to the objects identified by the client operations, and identify an object type associated with each of the identified objects. The processing unit may select, based on the object types, one or more backend operators that implement the plurality of client operations, and apply the backend operators to the identified objects.