Abstract: Disclosed are systems and methods for detecting defects during the handling and processing of items at a material handling facility. Embodiments of the present disclosure can be implemented at material handling to detect quality defects during processing of items in connection with fulfillment operations that may be designed to receive, store, sort, pick, pack, and ship items. Embodiments of the present disclosure provides a plurality of sensors and a trained machine learning model configured to provide real-time acquisition and analysis of item information to facilitate detection and mitigation of processing quality defects.

Abstract: Systems and techniques are generally described for detecting evasive terms in item listings. In some examples, a list of keywords associated with a first category of specified items may be received. In some examples, text data associated with a first item may be received. A first plurality of tokens representing a corrected version of the text data may be generated using spell correction techniques. In some cases, first flag data indicating that the text data constitutes evasive text may be generated based at least in part on the generation of the first plurality of tokens. The first flag data and a numerical representation of the first plurality of tokens may be input into a binary classifier trained to generate label data indicating whether text data associated with a given item is evasive or non-evasive. The binary classifier may generate label data indicating that the text data associated with the first item is evasive.

Abstract: Techniques are generally described for machine learning exampled-based annotation of image data. In some examples, a first machine learning model may receive a query image comprising a first depiction of an object-of-interest. In some examples, the first machine learning model may receive a target image representing a scene in which a second depiction of the object-of-interest is visually represented. In various examples, the first machine learning model may generate annotated output image data that identifies a location of the second depiction of the object-of-interest within the target image. In some examples, an object detection model may be trained based at least in part on the annotated output image data.

Abstract: Disclosed are systems and methods to deliver location restricted content to devices that do not have a location component, such as a Global Positioning System component. A location aware device may send to a content delivery service, location information determined by a location component of the location aware device and receive, from the content delivery service, an encrypted access token. The location aware device may then send the access token to a non-location aware device that is on a same local area network as the location aware device. The non-location aware device may provide the access token to the content delivery service along with a request for location restricted content. The content delivery service may use the access token provided by the non-location aware device to verify that the non-location aware device is within a defined area for which the requested location restricted content is allowed for presentation.

Abstract: Systems and methods for optimizing a transportation plan for a transportation network are described. In an example, a computer system determines a forecasted demand for transporting items between a source node and a destination node of a transportation network and a set of constraints associated with a handling node of the transportation network. The computer system generates a transportation plan that comprises a network path including the handling node and a type of item handling at the handling node. In a first stage of optimization, an optimization model of the computer system selects the network path from network paths. In a second stage of optimization, the optimization model selects the type of item handling from types of item handling available at the handling node. The optimization model uses the network paths and the types of item handling as variables.

Abstract: Devices and techniques are generally described for generating per-topic review summarization. In some examples, a plurality of text descriptions of a first item may be received. In at least some examples, a list of categories may be determined. In some examples, at least one machine learned model may generate a first summary of the plurality of text descriptions. In some examples, the first summary may be relevant to a first category of the list of categories. In further examples, the at least one machine learned model may generate a second summary of the plurality of text descriptions. The second summary may be relevant to a second category of the list of categories. In various cases, first output data that includes the first summary and the second summary may be generated.

Abstract: Techniques for training a visual neural network are described. In particular, the training of the visual neural network may be performed using one or more contrastive learning loss functions including one or more of a visual-to-visual contrastive learning function using the visual neural network on positive and negative video clips according to a first loss function, a secondary-to-secondary contrastive learning a secondary neural network on secondary positive and negative information generated from the positive and negative video clips, and a secondary-to-visual contrastive learning according to a third loss function using the visual neural network on positive and negative video clips and using the secondary neural network secondary positive and negative information generated from the positive and negative video clips.

Abstract: Techniques for generating geographical units that can be used to generate delivery routes are described herein. Geospatial vector data and barrier geospatial vector data for a geographical area may be obtained. Seed points for one or more portions of the geographical area may be determined based at least in part on historical delivery volume for the geographical area. A plurality of polygons that represent the geographical area may be determined based at least in part on an algorithm that uses the seed points, the geospatial vector data, and the barrier geospatial vector data. Coordinates for a geographical unit of a plurality of geographical units that divide the geographical area may be determined based at least in part on the plurality of polygons and a polygon-to-polygon barrier aware drive time matrix that identifies a calculated cost for traveling from one polygon to another polygon using barriers identified in the barrier geospatial vector data.

Abstract: Systems and methods are provided for management of data access latency in a distributed storage system by dynamically replicating data objects experiencing a high request volume. When a storage node is unable to meet a data access latency target (e.g., due to one or more data objects hosted by the storage node being the subject of a large quantity of requests), the storage node may initiate a process by which a second storage node is employed to reduce the request processing load. The second storage node may cache a copy of the requested data object, and may service at least a portion of requests for the data object using the cached copy.

Abstract: An apparatus includes a memory and a hardware processor. The hardware processor determines one or more of a weight of an item, a packaging type of the item, a packaging material of the item, a barcode of the item, a rigidity of the item, or a physical response of the item to being lifted and determines a visual appearance of the item and a shape or size of the item. The hardware processor also compares, using a machine learning model, the determined characteristics of the item to a manifest for the container. The manifest identifies a plurality of items in the container. The hardware processor determines, using the machine learning model, an identity of the item based on comparing the determined characteristics of the item to the manifest.

Abstract: Voice-controlled devices that include one or more speakers for outputting audio. In some instances, the device includes at least one speaker within a cylindrical housing, with the speaker aimed or pointed away from a microphone coupled to the housing. For instance, if the microphone resides at or near the top of the cylindrical housing, then the speaker may point downwards along the longitudinal axis of the housing and away from the microphone. By pointing the speaker away from the microphone, the microphone will receive less sound from the speaker than if the speaker were pointed toward the microphone). Because the voice-controlled device may perform speech recognition on audio signals generated by the microphone, less sound from the speaker represented in the audio signal may result in more accurate speech recognition, and/or a lesser need to perform acoustic echo cancelation (AEC) on the generated audio signals.

Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

Abstract: Techniques for change data capture (CDC) log augmentation are described. In some examples, a user configures CDC log augmentation by indicating which data should be included in a CDC log, and the database, when generating a CDC log associated with this configuration, can obtain the associated data and augment the CDC log by inserting this data into it. The augmented data can include one or more fields from a record in a separate database table, where the record can be identified based on the changed record represented by the CDC log.

Abstract: Systems and methods are provided for implementing a multi-service file system for a hosted computing instance via a locally-addressable secure compute layer. Software within the instance can submit file operations to the secure compute layer, which the secure compute layer can translate into calls to one or more network-accessible storage services. To provide a multi-service file system, the secure compute layer can obtain mapping data mapping file system objects within the virtualized file system to different network-accessible storage services. On receiving a file operation, the secure compute layer can determine one or more network-accessible storage services corresponding to the file operation, and submit appropriate calls to the one or more network-accessible storage services.

Abstract: Systems and methods are described herein for implementing a hybrid codec to compress and decompress image data using both lossy and lossless compression. In one example encoding process, it may be determined whether a first block of pixels of a frame of image data contains an edge. A type of compression by which to encode the first block may be selected based on that determination. The first block may be compressed using the selected type of compression. At least one second value associated with the first block of pixels may be set to indicate at least oof the compressed value or the type of compression used to compress the first block.

Abstract: Methods, systems, and computer-readable media for auto-tuning permissions using a learning mode are disclosed. A plurality of access requests to a plurality of services and resources by an application are determined during execution of the application in a learning mode in a pre-production environment. The plurality of services and resources are hosted in a multi-tenant provider network. A subset of the services and resources that were used by the application during the learning mode are determined. An access control policy is generated that permits access to the subset of the services and resources used by the application during the learning mode. The access control policy is attached to a role associated with the application to permit access to the subset of the services and resources in a production environment.

Abstract: Described are systems and methods for monitoring, detecting, and/or protecting various systems of an aerial vehicle, such as an unmanned aerial vehicle (UAV). Embodiments of the present disclosure can provide a multi-tiered system to provide monitoring, detection, and/or initiation of protection protocols in response to detected faults in connection with the electronics associated with UAV systems, such as the motor drive and/or control systems that may drive the propulsion systems of the UAV.

Abstract: Systems and methods for sender profile and/or recipient profile disambiguation and/or confirmation are disclosed. In instances where a sender profile is not indicated by a user sending a communication from a communal device, heuristic data may be utilized to infer the sender profile. Similar heuristic data may also be used when selection of the sender profile is associated with a low confidence level. Heuristic data may also be used to infer the recipient profile when the user does not indicate the recipient profile or when selection of the recipient profile is associated with a low confidence. Various confirmations may result from the sender and recipient profile disambiguation.

Abstract: An optical transceiver includes a built-in optical switch to switch between diverse fiber paths in switches in a datacenter or in switches between two datacenters. The built-in optical switch can be used to switch between racks in a datacenter to increase capacity for any rack that requests it. A controller, which receives a signal from a server computer in one of the racks, can be external to the optical transceiver or within the optical transceiver. In either case, the server computer can be provided with additional bandwidth when needed. For connections between datacenters, the built-in optical switch allows for optical line protection, but without the need for a splitter circuit, which incurs a significant power loss and requires a more expensive transceiver. Consequently, the built-in optical switch within an optical transceiver can be used in a variety of contexts to increase efficiency and reduce overall costs for network devices.

Abstract: Various embodiments of systems and methods for providing virtualized (e.g., serverless) broker clusters for a data streaming service are disclosed. A data streaming service uses a front-end proxy layer and a back-end broker layer to provide virtualized broker clusters, for example in a Kafka-based streaming service. Resources included in a virtualized broker cluster are monitored and automatically scaled-up, scaled-down, or re-balanced in a way that is transparent to data producing and/or data consuming clients of the data streaming service.