Abstract: Methods and systems for rendering lists of instructions and performing actions associated with those lists are described herein. In some embodiments, an individual may request that a voice activated electronic device associated with their user account assist in performing a task using a list of instructions. The list of instructions may include metadata that indicates actions capable of being performed by additional Internet of Things (“IoT”) devices. When the instructions are rendered, an instructions speechlet may recognize the metadata and may cause one or more of the IoT devices to perform a particular action. Furthermore, the metadata may also correspond to content capable of being rendered by the voice activated electronic device to assist the individual in performing a particular step of the instructions.

Abstract: Techniques for managing certificate metrics are described. A method of managing certificate metrics can include adding certificate data associated with one or more certificates to a plurality of slots of a metric certificate data store, reading, by a metric publisher, the certificate data associated with a first slot of the metric certificate data store in response to an event, determining a metric associated with each certificate associated with a subset of the certificate data associated with the first slot of the metric certificate data store, and providing the metric associated with each certificate to a resource monitoring service.

Abstract: Systems and methods for personalized device routines include determining devices associated with user account data and generating device usage data indicating aspects of smart device usage over a period of time. The usage data may then be utilized to identify candidate smart devices, time indicators, and trigger event types to associate with candidate routines. One or more of the candidate routines may be recommended to a user based at least in part on the usage data and the trigger event types at issue to personalize the device routine recommendations.

Abstract: Techniques for providing and servicing listed repository items such as algorithms, data, models, pipelines, and/or notebooks are described. In some examples, web services provider receives a request for a listed repository item from a requester, the request indicating at least a category of the repository item and each listing of a repository item includes an indication of a category that the listed repository item belongs to and a storage location of the listed repository item, determines a suggestion of at least one listed repository item based on the request, and provides the suggestion of the at least one listed repository item to the requester.

Abstract: Technologies are disclosed for interacting with a virtual assistant to coordinate, recommend and perform actions. According to some examples, a user may use their voice to interact with a virtual assistant to receive recommendations relating to determining when to perform one or more actions. For example, a user may interact with a virtual assistant to request a recommendation as to when they should leave for the office, leave the office for the day, perform a task, and the like. The recommendation system accesses selected data sources (e.g., calendars, task lists, traffic, transportation schedules, maps, . . . ) to obtain data used in generating the recommendation. In addition, to providing a recommended time, the virtual assistant may also recommend actions to perform. The virtual assistant may also provide notifications to one or more other users that includes information relating to the user leaving.

Abstract: This disclosure describes, in part, techniques for reducing pulsating currents of internal power sources, such as batteries. For example, a device may include a power source, a load, and a control device located between the power source and the load. The control device may include a power converter that is configured to maintain a constant input current from the power source and output a pulsating current to the load. While regulating the power, the control device may determine whether an average output power is different than a reference power. If the average output power is equal to the reference power, then the control device may cause the power converter to maintain the constant input current. However, if the average output power is different than the reference power, then the control device may cause the power converter to alter (e.g., decrease/increase) the input current being received from the power source.

Abstract: Respective network metrics sets corresponding to one or more data sources are examined at a network health manager. Network health states corresponding to one or more endpoint pair categories are determined based on the analysis of the network metric sets. An indication of the network health state of a particular endpoint pair category is stored.

Abstract: Data storage techniques for services in a network are described herein. In an example, a computer system determines a mapping between a first data schema associated with first data storage by a first service in a first data store and a second data schema associated with second data storage by a second service in a second data store. The computer system receives an event associated with an element and determines, based on the mapping and the event, an operation to be performed on a first attribute of the element that is stored in the first data store the second data store. The computer system generates, based on the mapping, notifications indicating a time for the operation associated with the first attribute to be performed by the first service and the second service. The computer system sends the notifications to the first service and to the second service.

Abstract: Data being identified includes a first portion of data and a second portion of data. Based on identifying the data, a data structure is generated. The data structure can include a first section having a first symbol associated with the first portion of data and a second symbol associated with the second portion of data. Further, the first section can include a first offset value corresponding to the first portion of data and a second offset value corresponding to the second portion of data. The data structure can include a second section with a plurality of pointers that reference at least a plurality of symbols including at least the first and second symbol. The data structure can be referenced to process one or more queries against the data.

Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.

Abstract: An application programming interface gateway service generates an application programming interface that, in various examples, allows client applications to access database functionality without maintaining active database connections, managing database credentials, or providing SQL code. The application programming interface maintains state information between invocations that allows for improved database performance. The state information may include SQL statements and subroutines, compiled SQL code, database credentials, active database connections, and connection pools. When invoked by a client application, the application programming interface may select an active database connection from a connection pool based at least in part on the activity history of each connection in the connection pool so that the expected cache performance of the database may be improved.

Abstract: A plurality of similar video pairs may be determined based on one or more similarity information types. Each video pair of the plurality of similar video pairs may include a first respective video and a second respective video. For each video pair, one or more similar scene pairs may be determined. Each of the one or more similar scene pairs may include a respective first scene from the first respective video and a second respective scene from the second respective video. An encoder may be trained using a contrastive learning model that contrasts a plurality of similar scene pairs with a plurality of random scenes. The plurality of similar scene pairs may include the one or more scene pairs for each video pair. One or more scene features of one or more other scenes of one or more other videos may be determined using the encoder.

Abstract: An item identification and pose determination system is described for use in purposeful selection of items from a collection. The system may be configured to determine a pose of one or more items in a collection of items based on bounding box information associated with the item as well as depth data of the present location of the item. The bounding box is aligned to the depth data using a machine learning algorithm and randomized search algorithm and the pose of the item enables determination of grasp locations for removing the item from the collection and intentionally placing at a destination in a particular pose.

Abstract: A multi-tenant database may maintain a plurality of datasets on a memory device that is subject to degraded operation caused by a subset of possible state transitions within the device's memory cells. A storage engine may identify entropy characteristics of datasets, independently of other datasets hosted on the memory, and use the entropy to construct a symbol table that maps from data within the dataset to symbols that may be stored on the memory device with a minimized number of state transitions.

Abstract: Disclosed herein are techniques for performing multi-layer neural network processing for multiple contexts. In one embodiment, a computing engine is set in a first configuration to implement a second layer of a neural network and to process first data related to a first context to generate first context second layer output. The computing engine can be switched from the first configuration to a second configuration to implement a first layer of the neural network. The computing engine can be used to process second data related to a second context to generate second context first layer output. The computing engine can be set to a third configuration to implement a third layer of the neural network to process the first context second layer output and the second context first layer output to generate a first processing result of the first context and a second processing result of the second context.

Abstract: At a lock-less data management service, a multi-phase commit of a transaction is performed. The multi-phase commit includes a read set validation phase (in which a first set of timestamp-based conditions is used to determine whether the transaction has a read-write conflict), a pre-commit timestamps update phase (in which respective pre-commit timestamps associated with data items of the transaction's write set are set to a proposed commit time after verifying that the proposed commit time satisfies a second set of timestamp-based conditions), and a write initialization phase (in which respective new versions of individual data items of the write set are stored, without storing data item values indicated in the write set).

Abstract: An extendable augmented reality (AR) system for recognizing user-selected objects in different contexts. A user may select certain entities (text, objects, etc.) that are viewed on an electronic device and create notes or additional content associated with the selected entities. The AR system may remember those entities and indicate to the user when those entities are encountered by the user in a different context, such as in a different application, on a different device, etc. The AR system offers the user the ability to access the user created note or content when the entities are encountered in the new context.

Abstract: A packet processing technique can include receiving a packet, and parsing the packet based on a protocol field to generate a parse result vector. The parse result vector is used to select between forwarding the packet to a virtual machine executing on a host processing integrated circuit, forwarding the packet to a physical media access controller, multicasting the packet to multiple virtual machines executing on the host processing integrated circuit, and sending the packet to a hypervisor.

Abstract: Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.

Abstract: A computing system that provides virtual computing services may generate and manage remote computing sessions between client computing devices and virtual desktop instances hosted on the service provider's network. A computing resource instance manager may monitor connections to and disconnections from a virtual desktop instance during particular time periods, and may apply a resource management policy to determine whether and when to shut down an underlying virtualized computing resource instance following a disconnection (e.g., immediately, after some period of time, or only between certain hours). A storage volume for the virtual desktop instance may be detached during a shutdown. In response to a reconnection request, the virtualized computing resource instance (or another such instance) may be restarted and the storage volume may be reattached. The computing resource instance manager may develop a model for predicting when to shut down or restart an instance based on historical data or machine learning.