Abstract: A computing system may determine audio data representing a message that is to be provided to a first user, wherein the first user is associated with at least a first device and a second device. First data corresponding to an audio characteristic of a first physical environment in which the first device is located and second data corresponding to the audio characteristic of a second physical environment in which the second device is located may be determined, wherein the second physical environment is different than the first physical environment and the second data is different than the first data.

Abstract: Techniques for robust multi-agent reinforcement learning (MARL) are described. An exemplary method includes initializing a plurality of parameters for a plurality of agents including at least policy parameters and action-value (Q) parameters; performing robust multi-agent reinforcement learning to learn polices for the agents, wherein in the learned polices no agent has an incentive to deviate, the agents include an implicit agent that is to select a worst-case at any given time during the learning process; and at least one agent utilizing its learned policy.

Abstract: Techniques for handling natural language query processing are described. In some examples, a sequence-to-sequence model is used to handle a natural language query. Post-processing of a result of the sequence-to-sequence model utilizes fine-grained information from an entity linker. In some examples, the sequence-to-sequence model and aspects of a natural language query pipeline are used to handle a natural language query.

Abstract: Some embodiments provide a method for a circuit that executes a neural network including multiple nodes. The method loads a set of weight values for a node into a set of weight value buffers, a first set of bits of each input value of a set of input values for the node into a first set of input value buffers, and a second set of bits of each of the input values into a second set of input value buffers. The method computes a first dot product of the weight values and the first set of bits of each input value and a second dot product of the weight values and the second set of bits of each input value. The method shifts the second dot product by a particular number of bits and adds the first dot product with the bit-shifted second dot product to compute a dot product for the node.

Abstract: Systems and methods are disclosed for foldable containers with improved mobility. In one embodiment, an example foldable container may include a first container wall having a frame and a panel coupled to the frame, a second container wall coupled to the first container wall, the second container wall configured to rotate outwards with respect to the first container wall, a third container wall coupled to the first container wall, and a fourth container wall. The fourth container wall may include a first portion coupled to the second container wall, where the first portion rotates with respect to the second container wall, and a second portion coupled to the third container wall. The foldable container may include a latch configured to secure the first portion to the second portion, where the latch has a handle and a spring that biases that handle towards a front of the foldable container.

Abstract: Methods, systems, and computer-readable media for tracing service interactions without global transaction identifiers are disclosed. A service monitoring system receives an event message from a first service in a service-oriented system. The event message comprises one or more elements of data from a body of a service request from an upstream service. The first service initiates a sub-task associated with the service request. The service monitoring system receives one or more additional event messages from one or more additional services. The additional event message(s) comprise one or more additional elements of data from one or more additional service requests associated with one or more additional sub-tasks. The service monitoring system determines, based (at least in part) on the element(s) of data in the event message and the additional element(s) of data in the additional event message(s), that the sub-task and the additional sub-task(s) are associated with a higher-level task.

Abstract: Systems and methods are disclosed for structural rib assemblies for container shuttle rails. In one embodiment, an example system for a shuttle may include a rib assembly. The rib assembly may include a first plate with a first tab on a first lateral side, a second tab on a second lateral side, a first cutout disposed adjacent to the first tab, a second cutout disposed adjacent to the second tab, and a third cutout disposed along an upper portion of the first plate. The rib assembly may include a second plate coupled to the first plate, the second plate having a third tab on a first lateral side, a fourth tab on a second lateral side, a fourth cutout disposed adjacent to the third tab, a fifth cutout disposed adjacent to the fourth tab, and a sixth cutout disposed along an upper portion of the second plate.

Abstract: Techniques for using a shared encoder and multiple different decoders for natural language understanding (NLU) tasks are described. The individual decoders are configured to perform different tasks using the output from one shared encoder. The decoders can process with respect to different domains and different languages. Using the shared encoder can reduce computation time during runtime. Using the shared encoder can reduce training costs (e.g., time and resources) when the system is updated to incorporate additional intents and entities. The system employs an attention mechanism to extract encoded representation data that can be used by the different decoders for its specific task.

Abstract: Techniques for accessing shared content based on a recipient's subscriptions are described. A recipient user may receive a notification that a sender user shared content. The recipient user may request to output the shared content. The system may determine which content providers the recipient user is subscribed to, and may perform entity resolution processing to identify potential content, from the subscribed content providers, corresponding to the shared content. The system may output the identified potential content in response to the request to output the shared content.

Abstract: Techniques for code-free automated machine learning (ML) are described. Users can train high-quality ML models and pipelines without necessarily needing to write code by providing a training dataset to a code-free machine learning service. The service may deploy an ML orchestration function and a storage location on behalf of a user. When a modification is made to the storage bucket, such as by the user providing a training dataset, the orchestration function is invoked and can automatically initiate an AutoML process using at least the training data to train multiple ML model variants. The resultant ML model(s) and associated metrics can be provided to the user, deployed behind an endpoint, and/or used to generate inferences.

Abstract: Methods and devices for sampling applications using a touch input are described herein. In some embodiments, an electronic device detects a touch input, which may cause the electronic device to send identifiers to a backend system. The backend system may then determine an application and sample audio request associated with the received identifiers. The backend system may then receive text data representing the sample audio request and text data representing a response to the sample audio request. The backend system may generate audio data representing the received text data and send the audio data to the electronic device. If, the touch input is still occurring, the backend system may find and send more sample audio requests and the responses thereof. If the touch input stops occurring during the sample, the backend system may send instructions to the electronic device to stop outputting the sample.

Abstract: Methods, systems, and computer-readable media for interactive command generation for natural language input are disclosed. A natural language dialog system receives a natural language input for a dialog with a user. The system determines a state representation of the dialog based at least in part on the natural language input. The state representation indicates an operation offered by a service. The system generates a natural language output based at least in part on the natural language input. The natural language output solicits an additional natural language input for the dialog. The system determines an updated state representation of the dialog based at least in part on the additional natural language input and the state representation. The updated state representation indicates parameter value(s) for the operation. Based at least in part on the updated state representation, the system generates a command invoking the operation with the parameter value(s).

Abstract: An automated server-based scheme allows a hosted service such as an individual computer system, computer application, or network service, to infer root certificate authorities present in client trust stores. Presenting a random selection of one or more digital certificates to a given client seeking a favorite icon URL, in response to a Transport Layer Security (TLS) connection request from the client, allows the service operator's trained machine learning system to define a customized set of potentially-trusted root certificate authorities based on learned successes and failures of connections with the given client, as well as other parties. The hosted service operator may employ a certificate manager and/or client-specific rules for presenting the certificates.

Abstract: Techniques for establishing a data connection are described. In an example, a computer system receives, from a second device of a computer network, first data associated with a first device and second data associated with the second device. The first device is not connected to the computer network. The computer system determines third data generated by one or more devices other than the first device and the second device and associated with at least one of: the first device, the second device, a user account, or the computer network. The computer system generates, based on the first data, the second data, and the third data, a confidence score indicating a likelihood of a user authorization to connect the first device to the computer network. The computer system sends, to the second device based on the confidence score, instructions associated with connecting the first device to the computer network.

Abstract: Devices and techniques are generally described for retrieving three dimensional part models. Two-dimensional (2D) image data representing an object with at least a first part and a second part may be received. A first machine learning model may be used to generate a first shape embedding representing the first part and a second shape embedding representing the second part. A first 3D model stored in a non-transitory computer-readable memory that represents the first part may be determined based at least in part on the first shape embedding. A second 3D model stored in the non-transitory computer-readable memory that represents the second part may be determined based at least in part on the second shape embedding.

Abstract: Systems and techniques are disclosed for determining relevant search query autocompletions for presentation to a user that has entered a prefix into a search application interface. A target search space represented as a knowledge graph may be searched to generate a subgraph of nodes representing autocompletion candidates that correspond to the prefix. Further historical and/or interaction data associated with the user and/or other users of the search application may be used to detemir additional autocompletion candidates. A machine-learned model may be trained to score and rank the candidates based on embeddings extracted by the model for the autocompletion candidates. A listing of the autocompletion candidate ordered based on the scores may be presented as autocompletion suggestions to the user.

Abstract: Disclosed are various embodiments for identifying fault injection impact zones. A test for an application can be received from a test service. An application schema can then be created that represents the systems or services that are involved in the execution of the application. Applications with a similar application schema are then identified using a first machine-learning model. A subset of the plurality of applications that have experienced a similar test are then identified with a second machine-learning model. Log files associated with each of the subset of applications are then analyzed to identify errors that occurred during the similar test. Each of the identified errors are then provided to the test service in response to receipt of the test.

Abstract: Connectivity between a radio-based application pipeline processing server and a control plane of a provider network is verified. Based on requests received at the control plane, a first isolated request handler, a second isolated request handler and an offloading manager are launched at the server. The offloading manager causes a first network function for which a request is received from the first request handler to be executed at a first network function accelerator of the server, and a second network function for which a request is received from the second request handler to be executed at a second network function accelerator of the server.

Abstract: A quantum programming environment may include an assisted composition system to assist the composition of quantum objects. The assisted composition system may receive a partial portion of a quantum object that is being composed but not yet fully composed by a user. The assisted composition system may determine a first abstract representation of the partial portion of the quantum object being composed. The assisted composition system may determine that the first abstract representation resembles at least a first portion of a second abstract representation of a stored quantum object stored in a library for the quantum programming environment. The assisted composition system may obtain a second portion of the stored quantum object from the library and provide it to the user as a next portion to the partial portion of the quantum object being composed.

Abstract: Systems, techniques, and devices for performing long range depth estimation are described. Multiple images of a scene are captured via at least three imaging sensors of a camera device. A first imaging sensor is separated from a second imaging sensor by a first baseline, and a third imaging sensor is separated from the first imaging sensor by a second baseline larger than the first baseline. A first point cloud is generated based on a first image and a second image captured by the first imaging sensor and the second imaging sensor, respectively. A second point cloud is generated based on the first image and a third image captured by the first imaging sensor and the third imaging sensor, respectively. Depth information of the scene is generated based on the first point cloud and the second point cloud.