Abstract: Connection loss may be minimized for performing database query engine changes. A distributed database system may include different instances of the query engine that provide access to a database. When an event to change the version of the query engine is detected, a copy of the database may be created and a new instance of the query engine created. Read-only access to the database may be maintained using the different instances of the query engine while the new instance may be upgraded to the different version of the query engine. Upon successful installation of the different version of the query engine at the new instance, the new instance may be given read-write access to the database using the copy of the database and other database instances may be upgraded to the different version of the query engine.

Abstract: This disclosure describes systems and techniques for enabling a communication device to communicate wirelessly with a near-field-communication (NFC)-enabled payment terminal while avoiding interference between the NFC-enabled payment terminal and other NFC payment instruments. In some instances, the communication device may receive, via a non-NFC communication protocol, a payment token from an identification device and may send, over NFC, the payment token to the NFC-enabled payment terminal for satisfying the cost of a transaction.

Abstract: Methods, systems, and computer-readable media for debugging and profiling of machine learning model training are disclosed. A machine learning analysis system receives data associated with training of a machine learning model. The data was collected by a machine learning training cluster. The machine learning analysis system performs analysis of the data associated with the training of the machine learning model. The machine learning analysis system detects one or more conditions associated with the training of the machine learning model based at least in part on the analysis. The machine learning analysis system generates one or more alarms describing the one or more conditions associated with the training of the machine learning model.

Abstract: Systems and methods are provided for managing provision of—and access to—data sets among instances of function code executing in an on-demand manner. An API is provided by which functions can store data sets to be shared with other functions, and by which functions can access data sets shared by other functions.

Abstract: A distributed database keeps user-defined functions separate from a query engine by using a frontend. The frontend allows a user-defined function to interact with a proxy application processing interface (API) that is based on an API of the query engine. The frontend sends serialized data to the query engine in order to interact with the API of the query engine. The user-defined function is executed in security environments separate from the frontend and the query engine.

Abstract: Functionality is disclosed herein for using an interactive content service to provide content. A user may interact with the interactive content service to access interactive content, such as interactive fiction, interactive text adventure games, and other interactive content. A user may also use the interactive content to receive auditory output from applications configured to provide text-based content. The interactive content service maintains state information that identifies the current state of the interactive content. For example, before starting a particular interactive adventure game, the state identifies a beginning location within the interactive content. As the user interacts with the game, the interactive content service updates the state of the user within the game.

Abstract: A natural language system may be configured to act as a participant in a conversation between two users. The system may determine when a user expression such as speech, a gesture, or the like is directed from one user to the other. The system may processing input data related the expression (such as audio data, input data, language processing result data, conversation context data, etc.) to determine if the system should interject a response to the user-to-user expression. If so, the system may process the input data to determine a response and output it. The system may track that response as part of the data related to the ongoing conversation.

Abstract: Techniques for synthetic accuracy measurement of a content recognition system are described. According to some examples, a computer-implemented method includes generating, by a provider network, a reference fingerprint for a secondary content (e.g., advertisement) media file; generating, by the provider network, a synthetic fingerprint for a transformed version of the secondary content media file; inserting, by the provider network, the synthetic fingerprint into a stream of fingerprints of a plurality of media files; comparing, by a comparison service of the provider network, the stream of fingerprints including the synthetic fingerprint to the reference fingerprint to generate an indication of a match between the synthetic fingerprint and the reference fingerprint in the stream; and sending the indication of the match to a storage location.

Abstract: Technologies directed to energy efficient phase shifting in digital beamforming in phased array antennas in communication systems are described. Digital signal processing (DSP) circuitry includes a first phase shifter that generates second data by phase shifting first data according to a rotation-based operation without multiplication of the second data, a second phase shifter that generates fourth data by phase shifting third data according to the rotation-based operation without multiplication of the fourth data, a combiner that generates fifth data by adding the second data and the fourth data, and a multiplier that generates sixth data by multiplying the fifth data by a constant value.

Abstract: An update deployment service performs automatic testing and deployment of a software update (e.g., security patches) for a software component on a fleet of IoT devices, without the need for the client to test the update and manually deploy the update to the IoT devices. A client configures the service by providing an upper usage limit for certain IoT hardware components (e.g., memory, hard disk) and/or code components (e.g., threads) that may be caused by any future updates. When a new update is available for deployment, the update deployment service obtains usage test data that indicates the amount of usage (or increase in usage) of the IoT hardware and/or code for the new update. If the usage (or increase in usage) is within the client-provided usage limits, then the service automatically deploys the update to the fleet of edge devices.

Abstract: At a data management service, a child template associated with a parent group of one or more cells of a first data sheet is stored. In response to detecting that a parent cell has been added to the parent group, a particular child data sheet is instantiated automatically in accordance with the template. In response to a change to a value in a first cell of the child data sheet, a corresponding value of a cell of the first data sheet is modified.

Abstract: A first encoding representing a set of detected signals is obtained at a sensor-proximity resource of an object recognition application which also includes resources of an analytics service of a provider network. In response to a determination that a cache at the sensor-proximity resource does not include a second encoding which satisfies a similarity criterion with respect to the first encoding, at least a portion of a partition of a spatial index is obtained from another resource selected using an index partition map. A recognition-based action is initiated based on determining that the partition includes an encoding which satisfies the similarity criterion.

Abstract: Technologies directed to a directional calibration antenna for calibration of an array antenna of a communication system are described. The communication system includes the array antenna which includes a number of antenna elements. The number of antenna elements are located in an area on a first side of a support structure. A directional antenna is located at a first height above a plane of the array antenna and at a periphery of the area. The directional antenna is pointed towards the array antenna and is located within a near field of the array antenna.

Abstract: Techniques for a computer-implemented service for virtual product placement in video frames are described. According to some embodiments, a computer-implemented method includes receiving, at a virtual product placement service, a request to place a two-dimensional image of a virtual product into a video, identifying, by a machine learning model of the virtual product placement service, a surface depicted in the video for insertion of the two-dimensional image of the virtual product, inserting, by the virtual product placement service, of the two-dimensional image of the virtual product into one or more frames of the video onto the surface to generate a video including the virtual product, and transmitting the video including the virtual product to a viewer device or a storage location.

Abstract: Techniques are generally described for remote estimation of bandwidth. In various examples, a video stream may be received at a first bit rate over a first communication channel. A first value of a network condition of the video stream may be determined over a first time period. A determination may be made that the first value is less than a threshold value. A first bandwidth estimate of the communication channel may be determined. The first bandwidth estimate may comprise the first bit rate reduced by a first percentage. A second value of the network condition may be determined over a second time period. A determination may be made that the second value is greater than the threshold value. A second bandwidth estimate of the communication channel may be determined. The second bandwidth estimate may be less than the first bandwidth estimate.

Abstract: At a radio-based application pipeline processing server at which a portion of a distributed unit (DU) of a radio-based application is implemented, a particular networking hardware device is selected from among several devices (which include least one device incorporated within a network function accelerator card and at least one device which is not part of an accelerator card) for transmission of at least a portion of mid-haul traffic to a centralized unit (CU). The mid-haul traffic is transmitted to the CU via the selected device. At least a portion of front-haul traffic is transmitted to a radio unit (RU) via a networking hardware device incorporated within a network function accelerator card of the server.

Abstract: Techniques are described for providing managed computer networks, such as for managed virtual computer networks overlaid on one or more other underlying computer networks. In some situations, the techniques include facilitating replication of a primary computing node that is actively participating in a managed computer network, such as by maintaining one or more other computing nodes in the managed computer network as replicas, and using such replica computing nodes in various manners. For example, a particular managed virtual computer network may span multiple broadcast domains of an underlying computer network, and a particular primary computing node and a corresponding remote replica computing node of the managed virtual computer network may be implemented in distinct broadcast domains of the underlying computer network, with the replica computing node being used to transparently replace the primary computing node in the virtual computer network if the primary computing node becomes unavailable.

Abstract: A determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. Respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. An aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.

Abstract: A data service implements a configurable data compressor/decompressor using a recipe generated for a particular data set type and using compression operators of a common registry (e.g., pantry) that are referenced by the recipe, wherein the recipe indicates at which nodes of a compression graph respective ones of the compression operators of the registry are to be implemented. The configurable data compressor/decompressor provides a customizable framework for compressing data sets of different types (e.g., belonging to different data domains) using a common compressor/decompressor implemented using a common set of compression operators.

Abstract: Techniques are generally described for color filter array interpolation of image data. A first frame of image data representing a plurality of pixels arranged in a grid may be received. A low pass filter may be used to generate a first luminance value for a first non-green pixel of the plurality of pixels. A first chrominance value of the first non-green pixel may be determined based at least in part on a combination of at least a chrominance value of a first green pixel located adjacent to the first non-green pixel and a chrominance value of a second green pixel located adjacent to the first non-green pixel. A second luminance value for the first non-green pixel may be determined based on a combination of the first chrominance value and the first luminance value. Output values for the first non-green pixel may be determined based at least in part on the second luminance value.