Abstract: Disclosed are systems and methods that determine a likelihood that an item page represents a risky item. For example, a machine learning model may be trained to determine a probability score that an item page corresponds to a topic of a plurality of topics based on item textual descriptions determined from the item page and search queries corresponding to the item page. Still further, one or more of a topic risk score, item risk score, cumulative item risk score, and/or a total item risk score may be determined. Each of the risk scores may be indicative of a likelihood that the item page represents a risky item.

Abstract: A detection mechanism is disclosed for identifying peers transmitting network traffic towards a cloud provider using routing prefixes that were not advertised for that peer. Once detected, an alarm condition can occur and the peer notified to remove any static route configurations. In one embodiment, a collector server computer can be used to acquire routing prefixes advertised to a peer. A second server computer can be used to obtain network traffic received from the peer. A comparison can then be made between the advertised prefixes and the network traffic being received. If network traffic is being received for unadvertised prefixes, then an alarm condition can occur. The detection mechanism can regularly inspect active traffic flows against BGP route advertisements at fixed intervals. For peers that are identified that are not in compliance with route advertisements, the alarm condition can occur for follow-up remediation.

Abstract: Disclosed are various embodiments for automated testing of systems and applications. A first computing device may be in data communication with a second computing device. The first computing device can receive a fault instruction specifying receive a fault instruction specifying a fault to inject into a virtual compute instance, parameters for the fault, a duration of the fault, and an identifier of the virtual compute instance. The first computing device can then send a command to a second computing device that hosts the virtual compute instance, wherein the command specifies at least the fault, the parameters for the fault, and the virtual compute instance. In turn, the second computing device can receive the command from the first computing device, save a pre-fault state of the virtual compute instance, and then introduce the fault into the virtual compute instance.

Abstract: To achieve impact-less re-routing of traffic towards non best-paths in a network, two locator routes are originated for each network fabric: a primary locator and a secondary locator. In a steady state, the forwarding state on each router is created by recursion of endpoints identifiers through their originating location's primary locator-route. Secondary locator routes are not used in the steady state. At a desired point, a steering route is injected into the network device to redirect routing from the primary locator route to the secondary locator route. The secondary locator route has a different resultant port from the primary locator route to redirect incoming packets on a different network path.

Abstract: Systems, methods, and computer-readable media are disclosed for modeled advertisement conversion attributions. An example method may include receiving first input data comprising first advertisement impression data and first advertisement conversion data, wherein the first input data includes one or more user identifiers associated with both the advertisement impression data and advertisement conversion data. The example method may also include training one or more machine learning models using the first input data. The example method may also include receiving second input data comprising second advertisement impression data, wherein user identifiers are unavailable for the second input data. The example method may also include determining, using the one or more machine learning models, second predicted conversion data associated with the second input data.

Abstract: A hybrid Bacon-Shor surface code is implemented using a fault tolerant quantum computer comprising hybrid acoustic-electric qubits. A control circuit includes an asymmetrically threaded superconducting quantum interference devices (ATS) that excites phonons in a mechanical resonator by driving a storage mode of the mechanical resonator and dissipates phonons from the mechanical resonator via an open transmission line coupled to the control circuit. The hybrid Bacon-Shor surface code only couples four phononic modes per given ATS, reducing cross-talk as compared to other systems that couple more phononic modes per ATS. Also, measurements are performed such that three parity measurements are taken between a phononic readout mode and a transmon qubit in a given syndrome measurement cycle.

Abstract: A first security rule set for traffic of a compute instance run at a virtualization server is stored in response to a programmatic request. A second security rule set for traffic of a network function accelerator of the virtualization server is stored in response to another programmatic request. Prior to delivery of network messages to the compute instance or from the accelerator, compliance with the applicable security rule set is verified.

Abstract: Descriptors of machine learning tasks to be used to respond to analysis requests, indicating acceptable categories of runtime environments for the tasks and metrics to be collected from the tasks, are received via programmatic interfaces. In response to an analysis request, an orchestrator receives results from individual tasks as they become available, provides the results to other tasks, and causes a response to the request to be prepared using results from at least a subset of the tasks. Metrics collected from the tasks, and a visual representation of the tasks indicating their runtime environments are presented.

Abstract: Representations of sets of descriptors of reference objects are stored in a repository, with individual descriptors including information about entities identified in the reference objects. In response to a request to extract content from a particular data object, a reference object which satisfies a similarity criterion with respect to the particular data object is identified from the repository using the descriptors. A structural comparison of the particular data object and the reference object is performed to determine an entity related to another entity identified in the particular data object.

Abstract: For a given cross-data-store transaction request at a storage service, a coordinator transmits respective voting transition requests to a plurality of log-based transaction managers (LTMs) configured for the respective data stores to which writes are directed in the transaction. The LTMs transmit responses to the coordinator based on data-store-specific conflict detection performed using contents of the voting transition requests and respective data-store-specific state transition logs. The coordinator determines a termination status of the cross-data-store transaction based on the LTMs' responses, and provides an indication of the termination status to the LTMs.

Abstract: A service implemented at a first isolated virtual network of a provider network is added to a database of privately-accessible services. Configuration changes that enable network packets to flow between the first isolated virtual network and a second isolated virtual network without utilizing a network address accessible from the public Internet are implemented. Service requests originating at the second isolated virtual network are transmitted to the first isolated virtual network via private pathways of the provider network. Metrics corresponding to service requests directed from the second isolated network to the service are collected and provided to the respective owners of one or both isolated virtual networks.

Abstract: Methods, systems, and computer-readable media for read-only data store replication to edge locations are disclosed. A read-only data store is replicated to an edge server. A request for content is received at the edge server from a client device. The content is sought from a content cache at the edge server or from an origin server coupled to the edge server. Processing of the request is initiated, comprising encountering an event. The event is associated with a function specified by a customer, and the function specifies the read-only data store as input. The function associated with the event is executed at the edge server, including retrieval of data from the data store. The content is generated based at least in part on execution of the function. The content is sent from the edge server to the client device.

Abstract: A fiber optic alignment assembly can include first and second receivers positioned on a base. The first receiver can include a channel for receiving a collet of a first fiber optic ribbon such that the ferrule of the first fiber optic ribbon is positioned for engagement. The second receiver can include a channel for receiving a collet of a second fiber optic ribbon such that a ferrule of the second fiber optic ribbon is positioned for engagement with the ferrule of the first fiber optic ribbon.

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 media marker mechanism may be used to send, to a cloud service, up-to-date context regarding playback of a media content stream on a user device. The cloud service may insert a media content item into a media content stream and/or combine media content items into a media content stream. The cloud service may implement the media marker mechanism to tag a content item with metadata that can be read by the user device. The user device can play the streaming media content and, when the tagged content item plays, read the metadata and send it to the cloud service. The cloud service can use the metadata to enrich the media content delivery by, for example, providing a companion image that the user device can display while paying the tagged content item, providing a link to make the companion image clickable, handling requests referring to the media content, etc.

Abstract: A method includes extracting, using a backbone of a machine learning model, a plurality of features from an image of a foot and predicting, using a first portion of the machine learning model and based on one or more features of the plurality of features, a first aspect of the foot. The method also includes predicting, using a second portion of the machine learning model and based on one or more features of the plurality of features, a second aspect of the foot different from the first aspect, generating, using at least the first aspect and the second aspect, a two-dimensional model of a shoe, and superimposing the two-dimensional model of the shoe onto the image of the foot.

Abstract: Systems and methods are provided for presenting selectable page navigation options representing topics or search queries determined to be relevant to an item that a user is viewing on an initial page. When a user selects to begin entering a search query in a search filed on the initial page, a system may determine two or more page destinations to recommend to the user based on the first item presented on the initial page, where the page destinations may each represent a different topic or search query. These recommended destinations may then be presented over at least a portion of the initial page near the search field as selectable options for navigating to a corresponding recommended page destination. The selectable options may include, for each recommended page destination, an image representing the page destination and text identifying the page destination.

Abstract: A network-accessible machine learning service is provided herein. For example, the network-accessible machine learning service provider can operate one or more physical computing devices accessible to user devices via a network. These physical computing device(s) can host virtual machine instances that are configured to train machine learning models using training data referenced by a user device. These physical computing device(s) can further host virtual machine instances that are configured to execute trained machine learning models in response to user-provided inputs, generating outputs that are stored and/or transmitted to user devices via the network.

Abstract: A speech-processing system receives input data representing text. One or more encoders trained to predict audio properties corresponding to the text process the text to predict those properties. A speech decoder processes phoneme embeddings as well as the predicted properties to create data representing synthesized speech.