Abstract: A technique for processing strong ordered transactions in a direct memory access engine may include retrieving a memory descriptor to perform a strong ordered transaction, and delaying the strong ordered transaction until pending write transactions associated with previous memory descriptors retrieved prior to the memory descriptor are complete. Subsequent transactions associated with memory descriptors following the memory descriptor are allowed to be issued while waiting for the pending write transactions to complete. Upon completion of the pending write transactions, the strong ordered transaction is performed.

Abstract: A quantum computing service includes a quantum circuit compilation module that uses received information about quantum processing units (QPUs) along with information about a quantum circuit to be compiled in order to generate an optimized ordered list of compilation passes to be performed to compile the quantum circuit for execution on a given QPU.

Abstract: Accelerated convolution of neural networks can be performed by executing N computing engines (CEs) of a neural network processor in parallel. An input dataset can be divided spatially into N chunks such that a respective last portion of each chunk overlaps with a respective first portion of a subsequent chunk. Portions of each chunk can be processed by a respective CE to generate a respective portion of an output dataset. The overlapping intermediate states computed by each CE from processing the overlapping portion can be stored locally for sharing with a subsequent CE using an on-chip bus.

Abstract: An aerial vehicle configured for operation within indoor spaces has a meshed construction with a housing defined by upper and lower sections having meshes provided above and below propellers and motors of the aerial vehicle. The aerial vehicle also includes a suite of sensors such as LIDAR sensors, time-of-flight sensors, cameras, ultrasonic sensors, or others. Meshes of the upper and lower sections include central openings along with spokes and concentric rings provided about the central openings. Meshes of the lower section have substantially larger central openings than meshes of the upper section, but feature more dense spokes or concentric rings beneath tips of the rotating propellers, which may be hinged or foldable in nature. Data captured by sensors of the aerial vehicle may be utilized for any purpose, such as to generate environment maps of an indoor space, or to monitor the indoor space for adverse conditions or events.

Abstract: A group masked autoencoder may be implemented for anomaly detection. An autoencoder network model may be trained without supervision and applied to output an estimated joint probability distribution of normality for a group of frames of time series data. The estimated joint probability distribution may be used to determine an anomaly score for the time series data. An anomaly may be detected according to the anomaly score and a result that indicates a detected anomaly may be provided.

Abstract: A set of alternative vocal input styles for specifying a parameter of a dialog-driven application is determined. During execution of the application, an audio prompt requesting input in one of the styles is presented. A value of the parameter is determined by applying a collection of analysis tools to vocal input obtained after the prompt is presented. A task of the application is initiated using the value.

Abstract: Results of applying a set of voting rules to a target corpus of documents are used to obtain a set of derived probabilistic labels indicating the probabilities of the presence of a particular attribute within the documents' constituent objects. A machine learning model is trained to identify a candidate portion of a document from which a value of the attribute is to be extracted. The training data for the model includes learned representations obtained from paths of constituent objects, and the corresponding derived labels. A proposed value for the attribute, obtained based on an assigned attribute value presence probability score for an individual constituent object from a selected candidate portion of a document, is provided.

Abstract: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

Abstract: A quantum computing service may use multiple quantum computers to execute a same quantum computing algorithm to improve the quantum computational accuracy. The quantum computing service may instruct individual ones of the multiple quantum computers to execute the quantum computing algorithm repeatedly for a number of times. The quantum computing service may obtain a plurality of results from the multiple quantum computers. The quantum computing service may aggregate the plurality of results to generate an ensemble result, and provide the ensemble result to a customer as a final result of the quantum computing algorithm.

Abstract: On-circuit utilization monitoring may be performed for a systolic array. A current utilization measurement may be determined for processing elements of a systolic array and compared with a prior utilization measurement. Based on the comparison, a throttling recommendation may be provided to a management component to determine whether to perform the throttling recommendation.

Abstract: Techniques and systems can obtain a first private key usable with a classical cryptography algorithm and a second private key usable with a post-quantum cryptography algorithm based on classical and post-quantum public keys hosted by a computer-implemented storage of an online service provider. A plurality of keys to perform a cryptography operation on data hosted by the computer-implemented storage can be generated, the plurality of keys generated based on at least the first and second private keys and a cryptography derivation function identified in the computer-implemented storage. The plurality of keys can be used to perform the cryptography operation on the data hosted by the computer-implemented storage.

Abstract: An input/output (I/O) device can initiate data migration of a virtual machine (VM) instance from a source device to a target device. The data migration of the VM instance may include migrating the data for the VM instance and tag data associated with the data. The data for the VM instance and the tag data may be stored together in a source memory. A first read request from the I/O device can enable a memory controller in the source device to read the data for the VM instance and the tag data together, store the tag data in a tag data buffer, and transmit the data for the VM instance to the target device. A second read request from the I/O device can read the stored tag data from the tag data buffer and transmit to the target device. The target device can write the data for the VM instance together with the tag data in the target memory.

Abstract: Users in a facility may move about and their authentication status may change accordingly. For example, upon entering a facility, a user may present identification data. At that point, the user is considered an authenticated user with persistent profile data. However, the identification of a user may not be presented at entry or may be unreliable, which causes the user to be considered an unauthenticated user with temporary profile data. In other scenarios, the identification of authenticated users may become unreliable based on their location or their proximity to other users. In cases where users are crowded at a location, the profile data for such users may be aggregated and may be based on common settings of the set of possible users in the group. A user interface may be presented to a user based on their designated profile data.

Abstract: Systems and methods to generate synthetic lip synchronization may generate source facial keypoints based on a source video, generate target facial keypoints based on a target audio, determine distances between the source facial keypoints and target facial keypoints, and transform or warp the source facial keypoints and associated surfaces to the target facial keypoints. In this manner, target video having synthetic lip synchronization that matches the target audio may be generated, and the target video may substantially preserve or maintain surface textures or features from the source video in the target video, thereby generating natural and believable synthetic lip synchronization corresponding to the target audio.

Abstract: Systems, methods, and computer-readable media are disclosed for modular robotic manipulation systems. In one embodiment, an example modular robot assembly may include a housing having a base, and a robotic manipulator coupled to the base, where the housing is configured to provide the robotic manipulator access to a first side, a second side, and a third side of the modular robot assembly. The module robot assembly may include a first camera system, a controller, and an optional display coupled to the housing. The modular robot assembly may be configured to be coupled to other modular robot assemblies, and the housing may be configured to be secured, such that the modular robot assembly can be independently transported.

Abstract: Systems, methods, and computer-readable media are disclosed for capacitive touch sensing using system-in-package components and batteries. In one embodiment, a device may include a flexible printed circuit, a button cell electrically coupled to the flexible printed circuit, and a system-in-package that is electrically coupled to the flexible printed circuit. The system-in-package may include an electromagnetic interference shield, and a capacitive touch sensor. The capacitive touch sensor may be configured to detect a change in capacitance via a change in electric field at the electromagnetic interference shield.

Abstract: An audio/video (A/V) device includes a first housing and a second housing rotatably coupled to the first housing. The first housing includes a camera oriented in a first direction, one or more microphones oriented in the first direction, one or more first lighting elements oriented in the first direction, one or more second lighting elements oriented in a second direction, one or more third lighting elements oriented in a third direction, and one or more first contacts. The second housing includes a loudspeaker oriented in a fourth direction and one or more second contacts configured to engage with the one or one first contacts. An engagement between the one or more first contacts and the one or more second contacts communicatively couples the loudspeaker to computing components with the first housing.

Abstract: Techniques for evaluating a natural language understanding (NLU) component and determining an action to resolve an issue processing a user input are described. The system determines which component is invoked by a baseline NLU component is processing the user input, and which component is invoked by an updated NLU component. Based on that information, the system selects the action to resolve the updated NLU component generating an undesired response to the user input.

Abstract: Techniques for detecting regressions with respect to the accuracy of an anomaly detection compute service in detecting anomalies in users' time series data. The techniques include providing an instrumented time series instrumented with a set of one or more anomalies to the anomaly detection service. The anomaly detection service detects a set of one or more anomalies in the instrumented time series. The precision and recall of the detected anomalies with respect to the instrumented anomalies is computed. From the computed precision and recall, an anomaly detection accuracy is computed as an F-score or F-measure. It is then determined whether a regression in anomaly detection accuracy has occurred by comparing the computed accuracy score to a threshold. If a regression has occurred, an alert can be generated or a recent change to the anomaly detection service can be rolled back.