Abstract: An orchestrator for updating a cloud service includes: an orchestrator service host computer comprising a processor and memory; an orchestrator service for execution by the orchestrator service host computer for orchestrating updates to farms of the cloud service over a service bus; a stage management service for determining which farms should be in each stage of an update deployed by the orchestrator service; and a grouping table identifying farms that should be in a common stage of the update deployed by the orchestrator service. The stage management service places farms grouped in the grouping table in a common stage of the update deployment.

Abstract: A technique for interacting with a machine-trained language model uses dynamic prompt management. The technique includes: receiving an input query and creating prompt information that expresses the input query and targeted context information. The targeted context information is selected from candidate context information. Further, a part of the prompt information is formed by compressing source information by reducing a number of content units in the source information (where the source information includes the input query and/or the candidate context information). The method further includes submitting the prompt information to the machine-trained language model, and receiving a response from the machine-trained language model based on the prompt information. The technique has the overall effect of reducing the number of content units submitted to the language model, which, in turn, reduces the amount of resources and time required by the language model to process the input query.

Abstract: Examples are disclosed that relate to materials discovery using machine learning models. One example provides a method enacted on a computing system. The method comprises receiving a query comprising one or more of element information and material property information, and, based on the query, retrieving material data from a materials information database. The material data comprises structural information for each material within a set of materials matching the query, the set comprising one or more materials, and for one or more materials in the set of materials, one or more predicted material properties determined using one or more trained machine learning models. The method further comprises outputting the material data.

Abstract: A method for automated device disassembly includes, at a computerized demanufacturing system, receiving a target electronic device for disassembly. Using a set of one or more sensors of the computerized demanufacturing system, a set of sensor data is collected that quantifies one or more physical properties of the target electronic device. Based at least in part on the set of sensor data, correspondences are identified between one or more effectors of the computerized demanufacturing system and one or more interactable elements of the target electronic device. The interactable elements are automatically manipulated using the one or more effectors to at least partially disassemble the target electronic device.

Abstract: Aspects of the present disclosure relate to predictive screen recording. In examples, a user initiates screen recording, such that an initial recording region is recorded. During screen recording, one or more events, user inputs, and/or any of a variety of other features are processed to generate a predicted recording region, which is used to update the region for which screen recording output is generated accordingly. Thus, the recorded region of the screen may change dynamically, thereby reducing the amount of postprocessing, planning, and computing resources that would otherwise be associated with recording the screen of a computing device, among other examples.

Abstract: This document relates to solving challenges associated with solving partial differential equations (PDEs) via numerical simulations relating to natural or physical systems. One example obtains input data relating to a physical system and partitions tensors of a neural network across multiple parallel processors. The example distributes the input data across multiple parallel cloud processing resources for numerical simulations involving partial differential equations to produce corresponding output data. The example trains the neural network across the tensors of the multiple parallel processors with the input data and the output data to produce a surrogate model of the partial differential equations. The example can receive subsequent input data and generate corresponding subsequent output data utilizing the surrogate model.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: A technique for interacting with a machine-trained language model uses dynamic prompt management. The technique includes: receiving an input query; accessing a state data store that provides candidate context information; partitioning the candidate context information into plural parts; selecting targeted context information from the candidate context information by determining a semantic relevance of the input query to each of the plural parts by performing vector-based analysis; creating prompt information that includes the input query and the targeted context information; submitting the prompt information to the machine-trained language model; and receiving a response from the machine-trained language model based on the prompt information. The technique has the overall effect of reducing the number of content units submitted to the language model, which, in turn, reduces the amount of resources and time required by the language model to process the input query.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: Innovations in the use of base color index map (“BCIM”) mode during encoding and/or decoding simplify implementation by reducing the number of modifications made to support BCIM mode and/or improve coding efficiency of BCIM mode. For example, some of the innovations involve reuse of a syntax structure that is adapted for transform coefficients to instead signal data for elements of an index map in BCIM mode. Other innovations relate to mapping of index values in BCIM mode or prediction of elements of an index map in BCIM mode. Still other innovations relate to handling of exception values in BCIM mode.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: A technique processes a stream of media data in an accelerated manner using a media engine provided by a client system. The media engine performs this task, under direction of a local controller, using a pipeline of integrated inline media-processing operations having access to local memory. The operations include: decrypting received encrypted media data to produce decrypted media data; decoding the decrypted media data to produce decoded media data; and enhancing the decoded media data to produce enhanced media data. In some cases, the enhanced media data has a resolution that is greater than the resolution of the received decrypted media data. In some implementations, the client system is implemented as a system-on-chip, and the media engine is a component of the system-on-chip.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and/or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

Abstract: A method of generating an aggregate saliency map using a convolutional neural network. Convolutional activation maps of the convolutional neural network model are received into a saliency map generator, the convolutional activation maps being generated by the neural network model while computing the one or more prediction scores based on unlabeled input data. Each convolutional activation map corresponds to one of the multiple encoding layers. The saliency map generator generates a layer-dependent saliency map for each encoding layer of the unlabeled input data, each layer-dependent saliency map being based on a summation of element-wise products of the convolutional activation maps and their corresponding gradients. The layer-dependent saliency maps are combined into the aggregate saliency map indicating the relative contributions of individual components of the unlabeled input data to the one or more prediction scores computed by the convolutional neural network model on the unlabeled input data.

Abstract: A neural classifier model is used to detect cybersecurity vulnerabilities in the source code predicted by a deep learning code generation model having been trained on source code possibly containing security bugs. Upon the classifier model classifying a given source code snippet as likely containing a cybersecurity vulnerability, a proposed repair for the cybersecurity vulnerability is predicted from a neural decoder transformer model having been trained on non-vulnerable source code. The neural decoder transformer model is used to predict source code that repairs the cybersecurity vulnerability given the source code classified with a cybersecurity vulnerability.

Abstract: The present disclosure relates to systems and methods for an interactive, intelligent hub built around the completion of a task. This hub brings together resources, information, suggested steps, and other automated assistance to facilitate the completion of the task. AI-based assistance may indicate which steps can be completed by automated processes, and dispatch those processes, or suggest resources to assist in the completion of other steps. The hub displays the current status of the task, and lives until the completion of the task, or abandonment by the user.

Abstract: Systems and methods are described for authenticating a client device through remote browser isolation (RBI). An RBI service determines that a remote browser thereof is configured to issue an authentication request to an identity provider to access a resource of a resource provider and, in response, transmits a command to an RBI frontend of a client browser executing on a client computing device. The RBI frontend receives the command and, in response, generates a browsing context that issues a client-side authentication request to the identity provider that includes information accessible to the client computing device. Responsive to issuing the client-side authentication request, the browsing context receives an authentication artifact from an access service and transmits the authentication artifact to the RBI service.

Abstract: A computing device is provided, including a processor that receives a network graph. The processor further receives a specification of a network traffic control heuristic for a network traffic routing problem over the network graph. The processor further constructs a gap maximization problem that has, as a maximization target, a difference between an exact solution to the network traffic routing problem and a heuristic solution generated using the network traffic control heuristic. The processor further generates a Lagrange multiplier formulation of the gap maximization problem. At a convex solver, the processor further computes an estimated maximum gap as an estimated solution to the Lagrange multiplier formulation of the gap maximization problem. The processor further performs a network traffic control action based at least in part on the estimated maximum gap.

Abstract: The disclosed techniques provide a messaging system with a user interface (UI) having a specific arrangement of suggested expressive illustrations, such as emojis. In some examples, a system analyzes a received emoji and provides a suggested list of emojis for a response. The suggested emojis are arranged in a way that candidate emojis capable of generating animation effects in combination with the received emoji, are listed higher in ranking, e.g., preceding, over other candidate emojis that cannot generate animation effects in combination with the received emoji. The system can rank individual emojis, or other types of graphical expressions, depending on whether a candidate emoji is capable of generating animated effects with the received emoji. In some embodiments, candidate emojis that are capable of generating animated effects precede candidate emojis that are incapable of generating animated effects.

Abstract: Disclosed in some examples are methods, systems and machine-readable mediums which allow for more secure authentication attempts by implementing authentication systems with credentials that include interspersed noise symbols in positions determined by the user. These systems secure against eavesdroppers such as shoulder-surfers or man-in-the middle attacks as it is difficult for an eavesdropper to separate the noise symbols from legitimate credential symbols.

Abstract: In some aspects, the techniques described herein relate to a cooling system for a computing device. The cooling system includes an air-cooled cooling system located in a housing. The air-cooled cooling system includes a heat sink thermally connected to a processor, an air-cooling radiator, and a heat pipe connecting the heat sink to the air-cooling radiator. The cooling system includes a liquid-cooled cooling system located in the housing. The liquid-cooled cooling system includes a cold plate thermally connected to a to the heat sink, a pump, a fluid radiator, and a fluid piping system connecting the pump, the cold plate, and the fluid radiator.

Abstract: Examples are disclosed that relate to changing an antenna pattern via one or more configurable parasitic antennas. One example provides a wireless device comprising a radio, a driven antenna connected to the radio, a ground plane, and one or more parasitic antennas. Each parasitic antenna connects to the ground plane via a switch operable to change an antenna pattern of the driven antenna.

Abstract: A method and system for providing tone detection for a content may include receiving a request to detect a tone for a content, retrieving user data and data about the content, detecting a content environment for the content based on at least one of the user data and the data about the content, detecting the tone for the content based on the content and the content environment, inputting the content and the detected tone into a machine-learning (ML) model for modifying the tone from the detected tone to a modified tone, obtaining at least one rephrased content segment as an output from the ML model, the rephrased content segment modifying the tone of the content from the detected tone to the modified tone, and providing at least one of the detected tone or the at least one rephrased content segment for display.

Abstract: Neural processing elements are configured with a hardware AND gate configured to perform a logical AND operation between a sign extend signal and a most significant bit (“MSB”) of an operand. The state of the sign extend signal can be based upon a type of a layer of a deep neural network (“DNN”) that generate the operand. If the sign extend signal is logical FALSE, no sign extension is performed. If the sign extend signal is logical TRUE, a concatenator concatenates the output of the hardware AND gate and the operand, thereby extending the operand from an N-bit unsigned binary value to an N+1 bit signed binary value. The neural processing element can also include another hardware AND gate and another concatenator for processing another operand similarly. The outputs of the concatenators for both operands are provided to a hardware binary multiplier.

Abstract: The disclosure is directed to systems, methods, and computer storage media, for, among other things, employing nested model structures to enforce compliance, within a computational system, to at least one policy. One method includes receiving a digital record that encodes content. A plurality of models (e.g., integrated models and/or model droplets) is employed to analyze the records. The plurality of models is configured and arranged within a nested structure of a hierarchy of models. Each of the plurality of models analyzes at least a portion of the record. Based on the nested structure, the hierarchy combines the analysis from each of the plurality of models to determine that the content violates a policy of a system. In response to determining that the content violates the policy, at least one mitigation (or intervention) action are performed. The at least one mitigation action may alter subsequent transmissions of the record.

Abstract: A data processing system for controlling data access to a secured resource of a distributed system implements receiving, from a first user device of a first user, a first request to access a secured resource and a first security token, the first security token including group information for one or more first access control groups associated with the secured resource of which the first user is a member; accessing group access policy information for groups associated with the secured resource; determining, based on the group information included in the first security token and the group access policy information, that the first user is a member of at least one group that is permitted to access the secured resource; and permitting the first user device of the user to access the secured resource responsive to determining that the first user is a member of at least one group that is permitted to access the secured resource.

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

Abstract: Sparse data handling and/or buffer sharing are implemented. Data may be buffered in reusable buffer arrays. Data may comprise fixed or variable length vectors, which may be represented as sparse or dense vectors in a values array and indices array. Data may be materialized from a dataview comprising a non-materialized view of data in a machine-learning pipeline by cursoring over rows of the dataview and calling delegate functions to compute data for rows in an active column. A buffer and/or its set of arrays storing a first vector may be reused for a second and additional vectors, for example, when the length of buffer arrays is equal to or greater than the length of the second and additional vectors, which may be selectively stored as sparse or dense vectors to fit the array set. Shared buffers may be passed as references between delegate functions for reuse.

Abstract: Examples described herein generally relate to performing conformance testing of a computational operation. A reference result including one or more reference intermediate products and a reference accumulator output at a first level of precision can be generated for the computational operation and based on one or more inputs. A hardware result can similarly be created using hardware at a second level of precision. The reference result can be compared to the hardware result to determine a variance value. A conformance result can be output based on whether the variance value is within a threshold range.

Abstract: This document relates to training and employing of quality estimation models to estimate the quality of different signal characteristics. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining training signals exhibiting diverse impairments introduced when the training signals are captured or diverse artifacts introduced by different processing characteristics of a plurality of data enhancement models. The method or technique can also include obtaining quality labels for different signal characteristics of the training signals. The method or technique can also include training at least two different quality estimation models to estimate quality of at least two different signal characteristics based at least on the training signals and the quality labels.

Abstract: A semiconductor-superconductor hybrid device comprises a semiconductor component and a superconductor component arranged over the semiconductor component. The superconductor component comprises a continuous portion of a superconductor material and a discontinuous portion of a non-ferromagnetic metal. The discontinuous portion is configured to increase the critical field of the superconductor component. It has been found that providing a superconductor component with a discontinuous portion of non-ferromagnetic metal may increase the critical field of the superconductor component, allowing the device to be operated in a stronger magnetic field. Further aspects provide a method of fabricating the device, and the use of a non-ferromagnetic metal to increase the critical field of a superconductor component of a semiconductor-superconductor hybrid device.

Abstract: One example provides a computing system comprising a storage machine storing instructions executable by a logic machine to extract features from a source and target images to form source and target feature maps, form a correlation map comprising a plurality of similarity scores, form an initial correspondence map comprising initial mappings between pixels of the source feature map and corresponding pixels of the target feature map, refine the initial correspondence map by, for each of one or more pixels of the source feature map, for each of a plurality of candidate correspondences, inputting a four-dimensional patch into a trained scoring function, the trained scoring function being configured to output a correctness score, and selecting a refined correspondence based at least upon the correctness scores, and output a refined correspondence map comprising a refined correspondence for each of the one or more pixels of the source feature map.

Abstract: A computing system performs several acts, where the acts include providing text generated by a generative model and content of a webpage to a computer-implemented text rewriting model, where the generative model generated the text based upon user input received from a client computing device, and further where the generative model generated a citation to the webpage to indicate that the text generated by the generative model is supported by the content of the webpage. The acts also include generating, by the computer-implemented text rewriting model, a rewriting of the text, where the computer-implemented text rewriting model generates the rewriting of the text based upon: 1) the text generated by the generative model; and 2) the content of the webpage. The acts further include transmitting the rewriting of the text to the client computing device for presentment as a response to the user input received from the client computing device.

Abstract: Methods and systems cause display of email messages of a user on a screen of a computing system based on scores associated with the email messages. An email ranking system may have assigned the scores to the email messages. The scores are based on actions that other recipients of the email messages have taken with respect to the email messages. In calculating the scores, the actions of the other recipients may receive different weights based on how closely connected a recipient is to the user and a type of connection the recipient has to the user. A network graph may indicate how closely connected the recipient is to the user and the type of connection the recipient has to the user.

Abstract: A system that can coordinate user interface formats having customized threads comprising messages from a common thread. Each client device can be managed by a data structure that defines thread containers, where individual thread containers define threads and topics for each thread. Each thread can also be associated with unique groups of messages. The data structure can cause each client computer to display different user interface formats, with each format showing different threads for each user. Individual devices can control displayed threads according to a topic limit so that displayed messages can be limited for optimizing the use of a display screen and other computing resources. The system provides more granular control of user interface formats to allow users to separate messages of high-priority topics.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Abstract: A data processing system implements providing multiple targeted intranet sites and/or employee experiences within a tenant of a multitenant computing environment. The administrators of a tenant are provided with tools to create multiple separate instances of the intranet site and/or employee experiences. The individual instances of the intranet site and/or employee experiences are separate and utilize a layout and include components that are appropriate for the particular audience for which the instance of the intranet site or employee experience has been tailored. The administrator can define affinity information that indicates which users or groups of users should be directed to a particular intranet site and/or employee experience. The administrator can define an order in which the intranet sites and/or employee experiences are considered when determining which intranet site or employee experience to present to a user in response to a request to access the intranet site or the employee experience.

Abstract: This disclosure describes techniques that include provisioning compute nodes within a data center out of available pools of hardware. In one example, this disclosure describes a method that includes monitoring, by a computing system, a first workload executing on a first compute node, wherein the first compute node includes processing circuitry and first node secondary storage; monitoring, by the computing system, a second workload executing on a second cluster of compute nodes; expanding, by the computing system, the second cluster of compute nodes to include a second compute node that includes second node secondary storage; redeploying the processing circuitry included within the first compute node to the second compute node; and enabling, by the computing system, the second workload to continue executing on the second cluster of compute nodes including the second compute node.

Abstract: Methods for estimating a force F exerted on a touchpad are disclosed. In one example, a force sensing touchpad comprises a printed circuit board (PCB) comprising four PCB electrodes and a spring spaced from the PCB and comprising four spring electrodes. Changes in capacitance at two of the PCB electrodes are determined and used to calculate a first local gradient between the two electrodes. Changes in capacitance at the other two PCB electrodes are determined and used to calculate a second local gradient between these two electrodes. The local gradients are used to calculate local forces at each PCB electrode, and the local forces are used to calculate the force F exerted on the touchpad.

Abstract: A data processing system includes: a processor; a memory storing executable instructions which, when executed by the processor, cause the processor, alone or in combination with other processors, to implement a client application with a user interface. The client application is configured to: receive an image depicting an object; generate a fine-tuning input to an image-generating Artificial Intelligence (AI) model to associate image data of the object with an identifier; with the fine-tuning input, fine-tune the AI model; structure a prompt for the AI model using the identifier; and obtain from the AI model a new customized image that depicts the object while preserving an appearance of the object.

Abstract: Aspects of the present disclosure relate to distributed virtual reality. In examples, a depth buffer and a color buffer are generated at a presenter device as part of rendering a virtual environment. The virtual environment may be perceived by a user in three dimensions (3D), for example via a virtual reality (VR) headset. Virtual environment information comprising the depth buffer and the color buffer may be transmitted to a viewer device, where it is used to render the virtual environment for display to a viewer. For example, the viewer may similarly view the virtual environment in 3D via a VR headset. A viewer perspective (e.g., from which the virtual environment is generated for the viewer) may differ from a presenter perspective and may be manipulated by the viewer, thereby decoupling the viewer's perception of the virtual environment from that of the presenter.

Abstract: An electronic stylus includes a stylus body, a touch-sensitive input region disposed along at least a portion of the stylus body, a haptic feedback device, and a stylus controller configured to receive an indication of user physical contact with the touch-sensitive input region. The user physical contact is classified as a recognized contact type of a plurality of different recognized contact types, based at least in part on one or more touch context parameters. The haptic feedback device is activated with predefined haptic characteristics corresponding to the recognized contact type, and differing from predefined haptic characteristics corresponding to other recognized contact types of the plurality of different recognized contact types.

Abstract: Systems and methods for directing behavior of a generative artificial intelligence (AI) system are provided. In particular, a computing device may obtain an input prompt associated with a requested task for one or more generative artificial intelligence (AI) systems, obtain one or more attributes based on the input prompt, modify the input prompt based on the one or more embedded attributes, and provide the modified input prompt to the one or more generative AI systems.

Abstract: A circuit configured to transmit frequency multiplexed signals from a superconducting domain to a higher temperature domain. The circuit comprising a multiplexed signal output and a plurality of superconducting oscillator circuits each configured to output a different carrier frequency, each superconducting oscillator circuit comprising an oscillator output connected to the multiplexed signal output. Each superconducting oscillator circuit comprising a converter stage configured to convert an input of a superconducting logic signal to a Single Flux Quantum (SFQ) bit value, a splitter stage electrically connected to an output of the converter stage, the splitter stage configured to change between a first current state and a second current state based at least in part on the SFQ bit value, and an oscillator stage magnetically coupled to an output of the splitter stage and electrically coupled to the oscillator output.

Abstract: A computing device detects an indication of a data-linkable context for the electronic stylus and transitions communication between the digitizer of the computing device and the electronic stylus from a user interface mode to a data link mode, based at least in part on the detecting. The computing device communicates between the electronic stylus and the digitizer in the data link mode via the multiple electrostatic antennas of the electronic stylus, based at least in part on the transitioning.

Abstract: Dynamic thread count optimizations include determining: (i) a detected quantity of unassigned IO requests; (ii) a quantity of IO requests currently in process; (iii) a thread pipeline value required to fill a thread's pipeline capacity and based on ratio of (a) an IO duration time from when an IO request is issued until a corresponding IO completion is received and (b) an IO processing time from when an IO request is assigned to a thread until it is issued; and (v) an ideal thread quantity based on a ratio of (a) the quantity of IO requests to be processed and (b) the thread pipeline value. Said optimizations also include dynamically activating new threads whenever a quantity of active threads is determined to be less than the ideal thread quantity.