Abstract: A data processing system implements establishing a connection with an online communication platform using a first application to facilitate communication with the computing devices of participants to the online communication session, determining that presentation content includes embedded content comprising at least one embedded content item available from at least one content server, and obtaining embedded content information from a source of the presentation content on the data processing system.

Abstract: Innovations in syntax and semantics of coded picture buffer removal delay (“CPBRD”) values potentially simplify splicing operations. For example, a video encoder sets a CPBRD value for a current picture that indicates an increment value relative to a nominal coded picture buffer removal time of a preceding picture in decoding order, regardless of whether the preceding picture has a buffering period SEI message. The encoder can signal the CPBRD value according to a single-value approach in which a flag indicates how to interpret the CPBRD value, according to a two-value approach in which another CPBRD value (having a different interpretation) is also signaled, or according to a two-value approach that uses a flag and a delta value. A corresponding video decoder receives and parses the CPBRD value for the current picture. A splicing tool can perform simple concatenation operations to splice bitstreams using the CPBRD value for the current picture.

Abstract: A computing system is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable to, during a run-time phase, receive run-time input data that includes time series data indicating a state of a graph network at each of a series of time steps. The graph network includes a plurality of nodes, and at least one edge connecting pairs of the nodes. The run-time input data is input into a trained graph neural network to thereby cause the graph neural network to output a predicted state of the graph network at one or more future time steps.

Abstract: A computing system configured to execute a predictive program is provided. The predictive program, in a run-time phase, receives a current value for a remotely sourced forecast as run-time input into an artificial intelligence model. The artificial intelligence model has been trained on training data including a time series of locally sourced measurements for a parameter and a time series of remotely sourced forecast data for the parameter. The predictive program outputs a predicted forecast offset between the current value of a remotely sourced forecast and a future locally sourced measurement for the parameter. The predictive program outputs from the artificial intelligence model a predicted forecast offset based on the run-time input.

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: Techniques for computer memory management are disclosed herein. In one embodiment, a method includes in response to receiving a request for allocation of memory, determining whether the request is for allocation from a first memory region or a second memory region of the physical memory. The first memory region has first memory subregions of a first size and the second memory region having second memory subregions of a second size larger than the first size of the first memory region. The method further includes in response to determining that the request for allocation of memory is for allocation from the first or second memory region, allocating a portion of the first or second multiple memory subregions of the first or second memory region, respectively, in response to the request.

Abstract: Systems and methods are described that are generally directed to generating a general task embedding representing task information. In examples, the generated task embedding may include predicted task information such that, rather being underspecified, the task embedding representative of the task may include additional specified information, where the task embedding can then be utilized in many different models and applications. Thus, task data may be received and at least a portion of the task data may be encoded using an encoder. Based on one or more outputs generated by the encoder and a type embedding associated with the task data, a task intent may be extracted or otherwise predicted based on the task data and one or more type encodings associated with the task data. The intent extractor may be trained on multiple auxiliary tasks with weak supervision that provide semantic augmentation to under-specified task texts.

Abstract: This document describes techniques for storing virtual disk payload data. In an exemplary configuration, each virtual disk extent can be associated with state information that indicates whether the virtual disk extent is described by a virtual disk file. Under certain conditions the space used to describe a virtual disk extent can be reclaimed and state information can be used to determine how read and/or write operations directed to the virtual disk extent are handled. In addition to the foregoing, other techniques are described in the claims, figures, and detailed description of this document.

Abstract: To meet the stringent requirements on simulating motion of an object, a body state of the object needs to be processed in real time while minimizing an error of deviating from the trajectory and time as specified, using limited computing resources. The present disclosure simulates physical aspects of an object in motion by generating a rigid body model that includes external force data and data representing the object. The simulator determines a body state of the object with specific velocity, altitude, and heading at a specific time-tick in real-time. The simulator determines forces applied to the object to move the object and update the rigid model in the real-time process iterations. The disclosed technology uses non-linear inversion dynamics controllers to compute the body forces for following a prescribed trajectory and a rigid body model solver with advanced integration techniques providing low-latency, accuracy, and integrity of linear and rotational body states.

Abstract: A method for evaluating gesture input comprises receiving input data for sequential data frames, including hand tracking data for hands of a user. A first neural network is trained to recognize features indicative of subsequent gesture interactions and configured to evaluate input data for a sequence of data frames and to output an indication of a likelihood of the user performing gesture interactions during a predetermined window of data frames. A second neural network is trained to recognize features indicative of whether the user is currently performing one or more gesture interactions and configured to adjust parameters for gesture interaction recognition during the predetermined window based on the indicated likelihood. The second neural network evaluates the predetermined window for performed gesture interactions based on the adjusted parameters, and outputs a signal as to whether the user is performing one or more gesture interactions during the predetermined window.

Abstract: One disclosed example provides a near-eye display device. The near-eye display device comprises an eye tracking system configured to determine a position of an eye of a user relative to the near-eye display device, and a waveguide including at least an input coupler and an output coupler, the output coupler including a plurality of zones, each zone activatable via a dynamically controllable output coupling element of the zone. The near-eye display device further comprises an image source configured to output image light to the input coupler, and a controller configured to selectively activate one or more zones of the output coupler based at least on the position of the eye.

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: A method for one or more meeting-facilitating machines to provide access to a remote meeting comprises assessing a capability metric of a meeting-participant computer device; selecting an access-option set including a combination of mutually compatible access modes, each access mode characterized by (a) an expense metric comparable to the capability metric and (b) a richness metric indicating a relative level of richness the access mode contributes to the remote meeting, the access-option set selected to maximize a net richness of the remote meeting while preventing a net expense of the access-option set from exceeding the capability metric; and providing the meeting-participant computer device access to the remote meeting using the access-option set.

Abstract: According to examples, a processor may receive data pertaining to a communication sent over a network by a device, extract a set of characteristics associated with the communication from the received data, and determine whether the extracted set of characteristics meets a predefined similarity threshold with respect to a previously identified set of characteristics, in which the previously identified set of characteristics is assigned with a certain device type. The processor may also, based on a determination that the extracted set of characteristics meets the predefined similarity threshold with respect to the previously identified set of characteristics, assign the device with the certain device type.

Abstract: Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

Abstract: A tracking system for a food commodity supply chain includes a tracking device and a computing device. The tracking device is mounted to a conveyance structure that is configured to receive a unit load of a food commodity. The tracking device includes a sensor to track an environmental condition of an environment of the tracking device while the tracking device is traveling along the food commodity supply chain. The computing device is configured to receive an environmental value of the environmental condition sensed by the sensor, process the environmental value to determine whether the environmental condition is within a predetermined environmental range, and transmit an alert when the environmental condition falls outside the predetermined environmental range. The alert includes a suggested interventive action based on the environmental condition that falls outside the predetermined environmental range.

Abstract: Aspects of this present disclosure relate to hybrid conference user interface. The hybrid conference interface provides an establishing shot before the meeting begins that places meeting attendees in a specific spatial arrangement, such as in specific seats around a conference table. Upon starting the conference, the hybrid user interface renders an appropriate perspective view of the meeting that is tailored to each attendee's perspective while also being spatially consistent for the entire group of attendees. Allowing attendees to place themselves where they want gives attendees a sense of physical space that helps them stay spatially oriented relative to the other people and resources in the room.

Abstract: Embodiments described herein are directed to configuring managed computing devices utilizing containerized applications. For instance, a mobile device manager may provide configuration settings to a computing device via, for example, an enterprise network. A host operating system (OS) executing on the computing device determines and applies the settings that are applicable to the host OS. The configuration settings are stored for configuring containerized applications executing on the computing device. For instance, as new containerized applications are launched by the host OS, the containerized applications retrieve the configuration settings and determine and apply the settings that are applicable to the containerized applications. Results of applying the configuration settings to the host OS and the containerized applications are merged and sent to the mobile device manager.

Abstract: A satellite is provided, including an onboard computing device. The onboard computing device may include a processor configured to receive training data while the satellite is in orbit. The processor may be further configured to perform training at a machine learning model based at least in part on the training data. The processor may be further configured to generate model update data that specifies a modification made to the machine learning model during the training. The processor may be further configured to transmit the model update data from the satellite to an additional computing device.

Abstract: Systems and methods are described for facilitating operation of a plurality of computing devices. Data indicative of enumerated resources of a computing device is collected. The data is collected without dependency on write permissions to a file system of the one computing device. A condition of the computing device is determined based on historical data associated with enumerated resources of other computing devices. The identified condition can be updated as updated historical data becomes available. A communication to the computing device may be sent based on the identified condition.

Abstract: Examples are disclosed that relate to handling noise interference on an interlink connecting hardware devices. One example provides a computing system comprising a first hardware device, a second hardware device, an interlink connecting the first hardware device and the second hardware device, a logic system, and a storage system. The storage system comprises instructions executable by the logic system to operate the interlink in an intermittently active mode, detect a noise interference scenario on the interlink, and in response, set a persistent active mode for the interlink.

Abstract: Examples are disclosed that relate to a compact optical systems comprising SLMs. One example provides a projection system comprising an illumination stage including a light emitting diode (LED) array. The LED array comprises a plurality of red LEDs, a plurality of green LEDs, and a plurality of blue LEDs. The illumination stage further comprises an illumination stage optical system configured to control an angular extent of light emitted by the LED array and homogenize the light emitted by the LED array. The projection system further comprises an image forming stage configured to form an image from light output by the illumination stage, the image forming stage comprising a spatial light modulator (SLM) configured to spatially modulate the light output by the illumination stage to form an image, and one or more projection optics configured to project the image formed by the spatial light modulator.

Abstract: Techniques and tools for reducing latency in video encoding and decoding by constraining latency due to reordering of video frames, and by indicating the constraint on frame reordering latency with one or more syntax elements that accompany encoded data for the video frames. For example, a real-time communication tool with a video encoder sets a syntax element that indicates a constraint on frame reordering latency, which is consistent with inter-frame dependencies between multiple frames of a video sequence, then outputs the syntax element. A corresponding real-time communication tool with a video decoder receives the syntax element that indicates the constraint on frame reordering latency, determines the constraint on frame reordering latency based on the syntax element, and uses the constraint on frame reordering latency to determine when a reconstructed frame is ready for output (in terms of output order).

Abstract: Examples are disclosed that relate to calibration of a stereoscopic display system of an HMD via an optical calibration system comprising a waveguide combiner. One example provides an HMD device comprising a first image projector and a second image projector configured to project a stereoscopic image pair, and an optical calibration system. The optical calibration system comprises a first optical path indicative of an alignment of the first image projector, a second optical path indicative of an alignment of the second image projector, a waveguide combiner in which the first and second optical paths combine into a shared optical path, and one or more boresight sensors configured to detect calibration image light traveling along one or more of the first optical or the second optical path.

Abstract: Examples are disclosed that relate to methods and computing devices for determining a distance of an input device from a surface of a computing device. In one example, a method comprises receiving a plurality of input device signals via the input device. A portion of the input device signals are used to determine an effective voltage of the input device. Adjusted input device signals are generated by adjusting another portion of input device signals using the effective voltage of the input device. The method further comprises providing the adjusted input device signals as an input to a distance model, and receiving and outputting the distance of the input device from the surface of the computing device.

Abstract: A TPM is implemented in an SOC for thwarting PIN state replay attacks. Programmable fuses are used as a counter and an on-die RAM stores a blown-fuse count and a TPM state that includes a PIN-failure count and a fuse count. TPM initialization includes incrementing the TPM state PIN-failure count if the blown-fuse count is greater than the TPM state fuse count. Once a PIN is received, if the TPM state PIN-failure count satisfies a PIN failure policy and the PIN is correct, the TPM state PIN-failure count is cleared, and if the PIN is incorrect, a fuse is blown and the blown-fuse count is incremented. If the fuse blow fails, TPM activity is halted. If the fuse blow succeeds, the TPM state PIN-failure count is incremented and the TPM state fuse count is set equal to the blown-fuse count. The TPM state is saved to off-die non-volatile memory.

Abstract: Innovations in encoder-side search ranges having horizontal bias or vertical bias are described herein. For example, a video encoder determines a block vector (“BV”) for a current block of a picture, performs intra prediction for the current block using the BV, and encodes the BV. The BV indicates a displacement to a region within the picture. When determining the BV, the encoder checks a constraint that the region is within a BV search range having a horizontal bias or vertical bias. The encoder can select the BV search range from among multiple available BV search ranges, e.g., depending at least in part on BV values of one or more previous blocks, which can be tracked in a histogram data structure.

Abstract: A computing system including an edge computing device. The edge computing device may include an edge device processor configured to receive edge device contextual data including computing resource availability data. Based at least in part on the edge device contextual data, the edge device processor may select a processing stage machine learning model of a plurality of processing stage machine learning models and construct a runtime processing pipeline of one or more runtime processing stages including the processing stage machine learning model. The edge device processor may receive a runtime input, and, at the runtime processing pipeline, generate a runtime output based at least in part on the runtime input. The edge device processor may generate runtime pipeline metadata that indicates the one or more runtime processing stages included in the runtime processing pipeline. The edge device processor may output the runtime output and the runtime pipeline metadata.

Abstract: Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Abstract: Computer-implemented systems and methods for rendering a visual effect on a graphical element, including: generating an initial visual effect based on the graphical element; computing a mask shape based on the graphical element; generating a mask based on the mask shape from the graphical element; masking the initial visual effect based on the mask to generate a masked visual effect; and combining the masked visual effect with the graphical element into a combined graphical element and visual effect.

Abstract: Examples are disclosed that relate to display devices having a common light path region. One example provides a display device comprising a light source configured to emit illumination light along an illumination path, and a spatial light modulator configured to modulate the illumination light and emit the modulated illumination light as image light along an imaging path, wherein at least a portion of the illumination path and at least a portion of the imaging path extend through a common light path region. The display device further comprises one or more optical elements positioned within the common light path region, at least one optical element being configured to guide the illumination light as the illumination light travels through the common light path region toward the spatial light modulator, and shape the image light as the image light travels through the common light path region.

Abstract: A method for training a machine-learning model. A plurality of nodes are assigned for training the machine-learning model. Nodes include agents comprising at least an agent processing unit and local memory. Each agent manages, via a local network, one or more workers that include a worker processing unit. Shards of a training data set are distributed for parallel processing by workers at different nodes. Each worker processing unit is configured to iteratively train on minibatches of a shard, and to report checkpoint states indicating updated parameters for storage in local memory. Based at least on recognizing a worker processing unit failing, the failed worker processing unit is reassigned and initialized based at least on a checkpoint state stored in local memory.

Abstract: One disclosed example provides a videoconferencing system comprising a processor and a storage device storing instructions executable by the processor to obtain an image of a scene acquired via a camera, the image of the scene comprising image distortion arising from a camera pitch angle at which the image of the scene was acquired. The instructions are further executable to apply a projection mapping to the image of the scene to map the image of the scene to a projection comprising a tilt parameter that is based upon the camera pitch angle at which the image of the scene was acquired, thereby obtaining a corrected image, and output the corrected image.

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 determine baseline behaviors from collected data. The processor may also detect that an anomalous event has occurred and may determine at least one feature of the anomalous event that caused the event to be determined to be anomalous. The processor may further identify, from the determined baseline behaviors, a set of baseline behaviors corresponding to the determined at least one feature. The processor may still further generate a message to include an indication that the anomalous event has been detected and the identified set of baseline behaviors and may output the generated message.

Abstract: Rule induction is used to produce human readable descriptions of patterns within a dataset. A rule induction algorithm or classifier is a type supervised machine learning classification algorithm. A rule induction classifier is trained, which involves using labelled examples in the dataset to produce a set of rules. Rather than using the rules/classifier to make predictions on new unlabeled samples, the training of the rule induction model outputs human-readable descriptions of patterns (rules) within the dataset that gave rise to the rules (rather than using the rules to predict new unlabeled samples). Parameters of the rule induction algorithm are tuned to favor simple and understandable rules, instead of only tuning for predictive accuracy. The learned set of rules are outputted during the training process in a human-friendly format.

Abstract: A method comprising: forming a first mask over a substrate; forming one or more shadow walls in the openings of the first mask by selective area growth; forming a second mask over the substrate and shadow walls; forming a second material in the openings of the second mask by selective area growth; and depositing a layer of deposition material by angled deposition over parts of the substrate, shadow walls and second material, whereby regions shadowed by the shadow walls are left uncoated. In embodiments the second material may be a semiconductor and the deposition material may be a superconductor, and the method may be used to form one or more semiconductor-superconductor nanowires for inducing majorana zero modes as part of a quantum computing device.

Abstract: A method for compiling executable code for execution on a computer includes: (a) receiving source code instructing the computer to execute an interval test to determine whether an interval defined by integers a and b encloses an integer x; (b) decomposing the interval test into a first comparison between the integer a and the integer x and a second comparison between the integer b and the integer x; and (c) returning instruction code directing the computer to evaluate the first and second comparisons cooperatively, at lower complexity than the combined complexities of the first and second comparisons enacted separately.

Abstract: A data processing system implements obtaining policy information for an update to be deployed to one or more components of a cloud-based service identifying a plurality of rings of the cloud-based service to which the update is to be deployed; analyzing the policy information to determine configuration information for a plurality of installer instances each associated with one or more rings or one or more stages of a ring to which the update is to be deployed; obtaining payload information for each respective installer instance, the payload information indicating one or more payloads associated with the update to be deployed to the respective one or more rings or one or more stages of the ring associated with the respective installer instance; and deploying the one or more payloads for each of the one or more rings or the one or more stages of the ring associated with each installer instance.

Abstract: A system, which includes a first device associated with a user, a second device configured to establish a user session and a server, performs storing a default user session setting associated with the user, the default user session setting defining a default user access privilege to functionality or content; determining that the first device is proximate to the second device; receiving a second user input requesting to modify the default user session setting, the second user input including modification data defining a restrictive modification to the default user session setting; modifying, at the server, the default user session setting based on the modification data to create a customized user session setting defining a customized user access privilege to the functionality or content available via the system; and establishing, at the second device, the customized user session for the user based on the customized user setting received from the server.

Abstract: Systems and methods for securely exposing context-driven services within a web browser. An example method includes receiving manifests from hubs apps (e.g., remote services). The manifests define requested context types for the hub apps. When the web browser loads a web page, the web browser may execute context extractors to extract context from the web page. The context extractors that are executed are based on the context types requested by the hub apps. The extracted context is then sent to the corresponding hub apps without providing the hub apps direct access to the web page. For instance, the hub apps do not have access to the document object model (DOM) of the web page and the hub apps cannot inject data into the web page.

Abstract: A traceability system for a bulk commodity supply chain is provided. The system includes a tracking device, a location determination subsystem, and at least one computing device having at least one processor. The location determination subsystem is configured to determine positional information of the tracking device while placed in a bulk commodity traveling along the bulk commodity supply chain. The processor receives the positional information from the location subsystem, extracts positional values from the positional information, and processes the positional values to identify motion primitives. A modeling tool is applied to the identified motion primitives to produce a positional path of the tracking device, which is output, for example, via a user interface. The positional path represents travel of the bulk commodity along the supply chain.

Abstract: A computing device is provided, including a processor configured to receive imaging relevance data for a geographic area. The processor may be further configured to generate, based at least in part on the imaging relevance data, image mask instructions specifying a region of interest included in the geographic area. The processor may be further configured to transmit the image mask instructions to a satellite. The processor may be further configured to receive, from the satellite, filtered satellite image data of the region of interest. One or more deprioritized regions of the geographic area outside the region of interest may be excluded from the filtered satellite image data.

Abstract: A video pass-through computing system includes a head-mounted display device including a display, a camera configured to image a physical scene according to an exposure timing, and an augmented reality control circuit configured to receive a virtual image pixel stream and composite the camera image pixel stream with the virtual image pixel stream to generate a display image pixel stream output to the display, and if a corresponding pixel of the camera image pixel stream is not in temporal synchronization with a pixel of the virtual image pixel stream adjust the exposure timing of the camera.

Abstract: A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

Abstract: A method for mitigating interference across analog signal lines includes receiving a digital data stream including a plurality of discrete signal patterns configured to drive a plurality of different analog signal lines. An edge buffer for each analog signal line is populated with edge data representing pulse edges of upcoming signal patterns set to drive the analog signal line. A target buffer for a target signal line is populated with target data representing a target signal pattern. Based at least in part on determining that edge buffers corresponding to one or more potentially interfering analog signal lines include edge data corresponding to post-target pulse edges, one or more potentially interfering signal patterns are identified. A selected set of the potentially interfering signal patterns are used to modify the target signal pattern to perform preemptive interference mitigation.

Abstract: Examples are disclosed that relate to computing devices and methods for authenticating a user. In one example, a method for authenticating a user at a computing device comprises activating a fingerprint reader integrated into a power key of the computing device, and activating a visual indicator at the power key to indicate a status of the fingerprint reader. Based at least in part on activating the fingerprint reader, a standby function of the power key is disabled. A fingerprint of the user is received via the fingerprint reader and used to authenticate the user. After authenticating the user, the visual indicator is deactivated and the standby function of the power key is re-enabled.

Abstract: Techniques are described for pre-exporting chunks of video content during video editing of a video editing project. For example, the chunks of the video editing project can be monitored for changes. When a change is detected to a chunk, the chunk can be pre-exported as an independent chunk that is combinable with other pre-exported chunks and without encoding or re-encoding the pre-exported chunks. In addition, the monitoring and pre-exporting can be performed while the video editing project is editable by a user of the video editing project. When the video editing project is ready to be finalized, the pre-exported chunks can be combined to generate, at least in part, a media file. The generated media file can then be output.

Abstract: This document relates to reinforcement learning. One example includes a system having a processor and a storage medium. The storage medium can store instructions which, when executed by the processor, cause the system to identify a selected agent configuration having a corresponding selected reward function based at least on predicted performance of a plurality of alternative agent configurations for an evaluation metric. The instructions can also cause the processor to operate the agent in the selected agent configuration. The selected agent configuration can cause the agent to adapt internal parameters of the agent according to the selected reward function.

Abstract: Example aspects include techniques for implementing peer group evaluation for comparative anomaly. These techniques may include determining a candidate group including a plurality of component metrics, and determining that the plurality of component metrics are a peer group based at least in part on a cluster profile of the candidate group and the candidate group exhibiting peer-like behavior of a period of time. In addition, the techniques may include detecting anomalous activity based at least in part on first performance information of a component metric deviating from second performance information for the peer group, and providing a notification of the anomalous activity.

Abstract: A method for mitigating interference across analog signal lines includes receiving a digital data stream including a plurality of discrete signal patterns configured to drive a plurality of different analog signal lines. An edge buffer for each analog signal line is populated with edge data representing pulse edges of upcoming signal patterns set to drive the analog signal line. A target buffer for a target signal line is populated with target data representing a target signal pattern. Edge buffers corresponding to potentially interfering analog signal lines are searched to identify potentially interfering pulse edges. A set of potentially interfering pulse edges are selected for interference mitigation, and the target signal pattern is modified to perform preemptive interference mitigation based at least in part on the selected pulse edges.