Abstract: Described are systems and methods for providing a centralized inverter architecture that incorporates multiple inverters co-located in a single integrated power core. Exemplary embodiments of the present disclosure can provide an exemplary power electronics system that includes integrated power core units having multiple inverters co-located in a centralized location. The integrated power cores can enable compute topologies that enable communication between the inverters and coordinated operation of the inverters. The integrated power cores can also be configured as a single line replaceable unit (LRU) to facilitate efficient repair, maintenance, and/or replacement of each integrated power core.

Abstract: A system for utilizing media content reference point information to perform media content encoding, and supplemental content stitching and/or insertion. Media content can be encoded and packaged based on boundaries of the media content. The boundaries can be received from a third-party and/or generated via an automated process. Target boundaries can be selected based on accuracy levels associated with the received and/or generated boundaries. Supplemental content can be stitched and/or inserted into packaged media content based on audio and video content of the packaged media content being aligned.

Abstract: Systems and methods to automatically generate training data for machine learning models may include an imaging device to capture imaging data, an image processing or rendering system to receive the imaging data and render a three-dimensional model of an object of interest overlaying the imaging data, an automatic mask extraction or generation system to extract or determine a mask, label, or annotation associated with the three-dimensional model and a plurality of pixels associated with the object of interest from a perspective of the imaging device, and a machine learning model to receive the imaging data and the mask as training data.

Abstract: A method and system for tracking and determining completion of sub-tasks to ensure completion of an overall task related to an item are described. The method and system receive item information describing a particular item to be acted upon and a task to complete with the item, such as assembly or shipping of the item. One or more intermediate states of the item are determined based on a process for transitioning to the final completed state. One or more intermediate tasks are determined to accomplish the transition to the completed state. The instructions for completing the tasks are then generated and conveyed for completion.

Abstract: Devices and techniques are generally described for confidence score generation for label generation. In some examples, first data may be received from a first computing device. In various further examples, first label data classifying at least one aspect of the first data may be received. First metadata associated with how the first label data was generated may be received. In some cases, the first label data may be generated by a first user. In various examples, a first machine learning model may generate a first confidence score associated with the first label data based at least in part on the first data and second data related to label generation by the first person. In various examples, output data comprising the first confidence score may be sent to the first computing device.

Abstract: Systems and methods to provide environment control to individual containers of a storage system may include a distribution network including one or more sources, distribution lines, valves, sensors, and storage positions. The distribution network may be operated to provide air flow having desired environment attributes to individual storage positions that include supply and/or return lines and associated valves. Insulated containers having input and/or output lines and associated valves may couple to the distribution network upon placement at the storage positions, thereby providing air flow with desired environment attributes to individual insulated containers and associated items. Further, non-insulated containers may also be placed at the storage positions of the storage system without connecting to the distribution network.

Abstract: Aspects described herein include a computer-implemented method of generating a floor plan for use by a plurality of mobile drive units within an inventory system. The method comprises defining a grid according to predefined grid rules, placing inventory station blocks, placing predefined travel blocks, and placing predefined storage blocks. Predefined connection rules specify which faces of the different predefined blocks are permitted to connect. The method further comprises outputting a map representing the floor plan. The map comprises location information for fiducial markers corresponding to the predefined blocks.

Abstract: Described are systems and methods for determining a reputation score and/or a confidence score for a network identifier that represents, respectively, a likelihood that the network identifier presents a threat and/or a likelihood that the network activity associated with the network identifier corresponds to a port scanning, enumeration, or other malicious event. Embodiments of the present disclosure can utilize various network telemetry information, such as authentication activity, outbound traffic activity, web activity, honeypot connection activity, or network classification information to determine the reputation and/or confidence scores in response to a query/request and/or in connection with potentially malicious activity that can represent a likelihood that the detected potentially malicious activity is malicious/legitimate and the potential impact that remediation measures taken against the network identifier may have in the event that the detected network activity was legitimate.

Abstract: Computer systems and associated methods are disclosed to implement the non-interactive join of privacy-preserving dataset sketches. In some embodiments, an entity can publish a one-time sketch of their dataset that would enable another entity to join their data without exposing private information. The sketch can map, using a hash function, the identities associated with a first value of the dataset to a data structure, in some embodiments. A same or different entity can join the first sketch with a privacy-preserving second sketch of a second dataset that includes added noise, and can determine an estimate of a number of identities that correspond with specific values of the first and second datasets from the joined dataset. The sketch can be published just one time, and therefore does not require separate new private computations with privacy budgeting for each additional party when a join is desired, in some embodiments.

Abstract: A data deletion notification service registers data repositories that store personal data. The service receives requests from users to delete personal data, sends notifications of the deletion requests to the registered data repositories, and stores deletion records recording the deletions and a timestamp associated with the deletion request. The service may wait for confirmation of the deletions from the data repositories, resending the deletion requests if a confirmation is not received, and recording confirmation in an audit record. Data repositories performing a restoration may request, from the service, a list of users that have requested deletion of personal data since the time of the creation of the backup used for restoration. The service may generate, based on deletion records with corresponding timestamps, the list of users and respond to the request with the list. Confirmations of the deletions may be tracked, stored and made available via an audit interface.

Abstract: Techniques for a location service to determine geographic locations (or “geolocations”) of user devices connected to a telecommunications network, and provide signed certificates that attest to the user devices being at geolocations at particular times. The location service may calculate, or receive, geolocations of user devices that have been determined using network-based localization techniques for telecommunications networks where the network infrastructure is used to determine the geolocations. Because user devices cannot fake or spoof these geolocations, the location service may populate certificates with indications of geolocations of user devices at different times. Additionally, the location service may act as a certificate authority by digitally signing these certificates and issuing digitally signed certificates that attest to geolocations of user devices.

Abstract: A system for applying metadata tags based on metadata tag groups is described. The system includes a plurality of compute nodes configured to provide a plurality of computing resources for clients of a provider network and a resource tag manager for the provider network. The resource tag manager is configured to receive, from a first client of an account of the provider network, a creation request to establish a resource attribute group comprising a plurality of resource keys and a plurality of resource values, wherein respective metadata keys correspond to respective resource values. The resource tag manager may receive, from a second client of the account, an application request to apply the resource attribute group to a computing resource and apply the plurality of resource keys and the plurality of resource values to metadata maintained for the computing resource.

Abstract: Systems and methods of dynamically controlling robots are described. A first robot may be controlled to move a pod to a cart-filling station. A first subset of destinations for the cart-filling station may be determined. First control instructions may be sent to a robotic sortation device at the cart-filling station. The first control instructions may be effective to allocate the first set of destinations to the robotic sortation device. A second robot may be controlled to move a first cart associated with a first destination of the first set of destinations to the cart-filling station. The robotic sortation device may select a first item from the pod associated with the first destination. The robotic sortation device may place the first item in the first cart and the second robot may be controlled to remove the first cart from the cart-filling station.

Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.

Abstract: Systems and methods for performing garbage collection. A system updates a second data structure based at least in part on a first data structure, the first data structure comprising data from a previous garbage collection cycle of a garbage collection application and the second data structure comprising data from a current garbage collection cycle of the garbage collection application. The system allows an application to update the second data structure during the current garbage collection cycle.

Abstract: Techniques for feedback-based training may include selecting a scoring machine learning model based at least in part on a test metric, and applying the model on an unlabeled dataset to generate, per dataset item of the unlabeled dataset, a prediction and an importance ranking score for the prediction. Techniques for feedback-based training may further include selecting, based on the importance ranking scores, a result of the application of the model on the unlabeled dataset, providing the result and requesting feedback on the result via a graphical user interface, receiving the feedback via the graphical user interface, adding data from the unlabeled dataset into a training dataset when the feedback indicates a verified result, and retraining the model using the training dataset with the data added from the unlabeled dataset to generate a retrained model.

Abstract: Users may enter and exit a facility as individuals, or as groups in which an authorized user sponsors other users. Within the group, actions within the facility taken by those sponsored users may be associated with the account of the authorized user. Sensor data acquired at a portal area is used to determine information about users passing through a portal, such as a crossing time, a distance from a crossing point, and so forth. This information is used to determine group associations. These group associations are resilient to situations, such as employees who have exited and re-entered with a user, employees holding open a gate for a user, people entering ahead of the authorized user, people entering after the authorized user, people exiting before an authorized user, and so forth.

Abstract: Devices and techniques are generally described for unused identity and access management rights detection. In various examples, a first skill-usage vector associated with a first profile may be determined. A first nearest neighbor algorithm and the first skill-usage vector may be used to determine a second skill-usage vector grouped together with the first skill-usage vector in a feature space, where the second skill-usage vector is associated with a second profile. A first rights vector associated with the first profile may be determined. The first rights vector associated with the first profile may be compared to a second rights vector associated with the second profile. At least one unused right associated with the first profile may be determined based at least in part on the comparing of the first rights vector to the second rights vector.

Abstract: Devices, systems, and methods are provided for using dynamic shipping options. A method may include receiving a request to add a first product to a virtual shopping cart of a first user; determining a first delivery fee for a first order comprising the first product; generating user interface data indicative of the first delivery fee and with which the first user may input a first offered delivery fee; presenting the user interface data; receiving a first user input indicative of the first offered delivery fee offered by the first user; determining that a coincident delivery fee discount based on the first order and a second order is less than a delivery fee threshold including delivery fee discounts of the first offered delivery fee and of a second offered delivery fee of the second order; initiating a first purchase of the first product a second purchase of the second product.