Abstract: Devices, systems, and methods are provided for receiving, by a first device, a first video feed from a first camera at a first televised event the first video feed comprising synthesized content preceding the first televised event, the synthesized content comprising a virtual representation of an object or being; detecting a first delay time between audio and video of the synthesized content in the first video feed; generating, based on the first delay time, video content comprising a first portion of the first video feed; and sending the video content to a second device for presentation of the televised event.

Abstract: Systems and methods are disclosed to implement a neural network training system to train a multitask neural network (MNN) to generate a low-dimensional entity representation based on a sequence of events associated with the entity. In embodiments, an encoder is combined with a group of decoders to form a MNN to perform different machine learning tasks on entities. During training, the encoder takes a sequence of events in and generates a low-dimensional representation of the entity. The decoders then take the representation and perform different tasks to predict various attributes of the entity. As the MNN is trained to perform the different tasks, the encoder is also trained to generate entity representations that capture different attribute signals of the entities. The trained encoder may then be used to generate semantically meaningful entity representations for use with other machine learning systems.

Abstract: A system comprising one or more computing devices implements a vehicle software deployment management system. The vehicle software deployment management system enables clients to send signed serialized data chunks of a vehicle software application and a deployment plan for the software application to vehicles using a protocol agnostic transmission format. The vehicle software deployment management system may generate a deployment plan that may be processed by an in-vehicle application deployment planner/orchestrator of the vehicle to deploy the particular vehicle software application. The vehicle software deployment management system may send the vehicle software application using containers to be used by ECU agents of various ECUs of the vehicle. Furthermore, the vehicle software deployment management system may utilize received vehicle information to dynamically generate one or more updated vehicle deployment plans to send to respective vehicles.

Abstract: Systems, methods, and computer-readable media are disclosed for shuttle lift systems to facilitate simultaneous movement of multiple shuttles across a multi-level storage structure that stores packages. The shuttle lift system may include the multi-level storage structure and a tower lift system at each end of the multi-level storage structure. One tower lift system may raise shuttles to a level of the multi-level storage structure. The other tower lift system may lower shuttles to a level of the multi-level storage structure and/or to a delivery area. The tower lift system may include cables (e.g., tethers) that are supported by a bottom portion and an upper portion of the tower lift system. Shelves may be attached to the cables on either side of the tower lift system and may receive and move shuttles up/down the tower lift system. The tower lift system may have high shuttle throughput and a reduced footprint.

Abstract: A system comprising one or more computing devices implements a vehicle application deployment planner. The vehicle application deployment planner may utilize received vehicle information to dynamically generate one or more vehicle deployment plans to send to respective vehicles. The deployment plans may also be dynamically updated based on newly received vehicle information. The application deployment planner may generate updated deployment plans for already deployed applications in response to chances in vehicle conditions as indicated in the received vehicle information. In some embodiments, the deployment plan may be processed by an in-vehicle application deployment planner/orchestrator of the vehicle to deploy the particular vehicle software application.

Abstract: Transaction statements may be forwarded for a database transaction. A transaction begun at a read-only node may include a write statement. The read-only node may forward the write statement to the read-only node to perform as a transaction. The read-only node may update a read view for the transaction to include the write statement before performing a read statement submitted after the write statement at the read-only node.

Abstract: A method and system are provided for continuously monitoring bandwidth utilization in real time on a backbone of a network. Prefixes using the highest traffic can be identified and additional bandwidth can be provisioned in the form of optical transponder wavelengths. The additional bandwidth can be an express path that passes directly through optical nodes (thereby bypassing transit network devices) to the destination optical node. A centralized controller can perform the monitoring of the network devices, decide that an express path needs to be generated, and control both the network device and the optical network nodes to generate the express path from the network device, through the optical network, to the destination network device. The controller can apply and remove IP static routes and IP addresses associated with an express path. Additionally, the controller can request the setup or tear-down of an optical wavelength within the optical network.

Abstract: Techniques for providing a visual code review editor are described. An electronic device is caused to display a graphical user interface including an editor portion to edit code review rules used by a code review service of a cloud provider network. The editor portion of the graphical user interface is caused to display a first graph associated with a first code review rule, the first graph including a first node, a second node, and a first edge connecting the first node and the second node. An indication that a third node has been added to the graph via the editor portion of the graphical user interface is received. The first code review rule is updated by the code review service to reflect the addition of the third node, the first code review rule is in a text format.

Abstract: Devices and techniques are generally described for learning personalized responses to declarative natural language inputs. In various examples, a first natural language input may be received. The first natural language input may correspond to intent data corresponding to a declarative user input. In some examples, a dialog session may be initiated with the first user. An action intended by the first user for the first natural language input may be determined based at least in part on the dialog session. In various examples, first data representing the action may be stored in association with second data representing a state described by at least a portion of the first natural language input.

Abstract: An interactive system may be implemented in part by an audio device located within a user environment, which may accept speech commands from a user and may also interact with the user by means of generated speech. In order to improve performance of the interactive system, a user may use a separate device, such as a personal computer or mobile device, to access a graphical user interface that lists details of historical speech interactions. The graphical user interface may be configured to allow the user to provide feedback and/or corrections regarding the details of specific interactions.

Abstract: Adjustments to bounding shapes for detected objects in image data may be independently determined. A bounding shape for an object detected in image data may be obtained. Independently determined adjustments for one or more edges of the bounding shape may be determined according to a multi-scale feature map generated from different resolutions of the image data that is provided as input to different dimension decoders to determine the adjustments to the bounding shape and respective confidence scores for the adjustments. The confidence scores are evaluated with respect to a confidence threshold to determine whether to provide the adjustments to the one or more edges of the bounding shape.

Abstract: A plurality of device-sharing participants may be detected that are participating in a videoconference via a shared computing device. The detecting of the plurality of device-sharing participants may be performed based, at least in part, on at least one of an audio analysis of captured audio from one or more microphones or a video analysis of captured video from one or more cameras. A plurality of participant connections corresponding to the plurality of device-sharing participants may be joined to the videoconference. Each of the plurality of participant connections may be identified within the videoconference using a respective name. A plurality of video streams and a plurality of audio streams corresponding to the plurality of participant connections may be transmitted, and the plurality of video streams and the plurality of audio streams may be presented to at least one other conference participant.

Abstract: Disclosed are various embodiments for customer-defined capacity limit plans in communication networks. In one embodiment, a request for a service from a radio-based network is received from a first client device. A network function in the radio-based network is determined to be at a capacity limit. Service from the network function to a second client device to the network function is suspended in response to determining that the network function in the radio-based network is at the capacity limit and based at least in part on a rule set specific to the radio-based network. The first client device is provided access to the network function instead of the second client device.

Abstract: Audio processing may be performed with a convolutional neural network that includes positional embeddings. Audio data may be received at an audio processing system. A convolutional neural network that concatenates frequency-positional embeddings at an input layer may be used to process the audio data. A result of processing the audio data through the convolutional neural network may be used to perform an audio processing task.

Abstract: Implementations for metering media conferences based on active users are described. A plurality of media conferences are established by a media conferencing service. Unique users participating in the media conferences are determined. A number of times that each unique user uses the media conferencing service during a first time period is determined. A metric for use of the media conferencing service is determined based on the number of times that each unique user uses the media conferencing service. The metric for using the media conferencing service is output.

Abstract: Systems for preparing a medical report, and related methods, generate and output feedback indicative or potential errors in the medical report. A system for preparing a medical report is configured to receive image data for a medical image of a patient, display the medical image, monitor content of the medical report during preparation of the medical report, process the image data to detect one or more organs of the patient imaged in the medical image, compare the content of the medical report with the one or more organs imaged in the medical image to detect one or more potential errors in the medical report, and output feedback indicative of the one or more potential errors in the medical report.

Abstract: Techniques for receiving a voice command from a user and, in response, providing audible content to the user via a first device and providing visual content for the user via a second device. In some instances, the first device includes a microphone for generating audio signals that include user speech, as well as a speaker for outputting audible content in response to identified voice commands from the speech. However, the first device might not include a display for displaying graphical content. As such, the first device may be configured to identify devices that include displays and that are proximate to the first device. The first device may then instruct one or more of these other devices to output visual content associated with a user's voice command.

Abstract: A single neural network model can be used by each computing engine (CE) in a neural network processor to perform convolution operations in parallel for one or more stacks of convolutional layers. An input feature map can be divided into N chunks to be processed by N CEs, respectively. Each CE can process a last portion of a respective chunk to generate respective shared states to be used by a subsequent CE. A first CE uses pre-computed states to generate a first portion of an output feature map, while other CEs use shared states computed by a preceding CE to generate respective portions of the output feature map.

Abstract: A customer in a computing resource provider environment launches a virtual machine with an associated role. A key is generated that is specific to the instance and the role. An enclave is generated specifically for the virtual machine to securely store the key such that the virtual machine uses the enclave to sign requests pursuant to the role to access one or more web services in the environment.

Abstract: Methods for implementing insert, update, and delete events of a change-data-capture log in transactional order to a representation of a transactional table are disclosed. Insert events may be applied and committed to the representation, while delete events may be buffered and committed to a shadow table. Such buffering may allow the delete events to be applied and committed as a batch to the given representation as a later background operation, allowing for an optimized application of the change-data-capture log to the representation. Once the delete events are committed to the representation, they are removed from the shadow table. Update events may be similarly treated in which the insert event component of the update event is applied and committed to the representation while the delete event component is committed to the shadow table, before being later committed to the representation and removed from the shadow table.