Abstract: Local computing resources may be created for machine learning tasks. A kernel of a machine learning development environment implemented as a first container at a host system may execute code to perform a machine learning task that includes a statement that causes a local execution resource to be created at the host system to perform the machine learning task. A second container may be placed as the local execution resource at the host system as a child application at the host system. A network namespace of the first container may be used as the network namespace of the second container, making the second container able to perform network communications with the first container locally on the host system. The second container may perform the machine learning task in accordance with the code.

Abstract: Shared computing resources may be determined for executing actions in an application workflow configuration. An application workflow configuration that describes a workflow that includes actions with respective action code executable to perform the actions may be obtained. Execution of the workflow may be directed according to the application workflow configuration. As part of execution of the workflow, an assignment of two of the actions may be individually determined for a same computing resource. Execution of the respective action code for the two actions may be caused according to the same computing resource.

Abstract: Automated unloading systems and methods may include a preparation subsystem and a transfer subsystem. A package stack may be loaded into the preparation subsystem to open or enable access to individual packages of the stack, and the opened stack may be rotated to an unloading position. Then, conveyance mechanisms of the transfer subsystem may cause automated unloading of individual packages of the opened stack, thereby improving the safety, speed, and efficiency of such package unloading processes.

Abstract: In a data storage system, stored data is secured using a key-based encryption algorithm. The disclosure provides mechanisms for increasing security of the stored data by storing a unique key used to encrypt and/or decrypt the data in a volatile key storage of a backplane, where power to the volatile key storage is routed through a connection that is closed when a corresponding data storage device is connected to the backplane and open when the corresponding data storage device is disconnected from the backplane.

Abstract: A file system manager implemented at a provider network identifies a storage device of a first group of storage devices of a provider network as an initial location of a file system object. Based on an access metric associated with the object, the file system manager initiates a transfer of contents of the object to a second storage device of a different storage device group, without receiving a client request specifying the transfer. In response to an access request received via a file system programmatic interface, contents of the object are provided from the second storage device. Based on a second access metric, the object is transferred back to the first group of storage devices.

Abstract: Disclosed implementations improve data that is used to train a deep neural network to determine a device type or a device operational state at a location based on voltage data at the location. For example, labeled training data for a location may be up-sampled to increase the amount of labeled training data that is available for use in training the DNN by obtaining labeled data from other known locations that are determined to be similar to the location. Likewise, the up-sampled training data may be subsampled during training to remove potentially noisy data from the training data, thereby improving the accuracy of the trained DNN.

Abstract: An intermediate sorted version of a projection of a data set is used to create the projection of the data set. A copy of the data set can be accessed to store an intermediate sorted version and determine a number of portions to the projection of the data set across a number of data stores. Then, distributed execution to create the projection of the data set to be performed from different portions of the number of portions to store at respective ones of the data stores.

Abstract: An autonomous mobile device (AMD) moves within in a physical space. The AMD may encounter features in the physical space, such as flooring transitions, or obstacles that may impede movement. Sensors such as an ultrasonic sensor, optical time of flight sensors, inertial measurement unit (IMU), wheel speed sensors, and motor torque sensors acquire sensor data. Based on the sensor data, a location of an obstacle, and characterize whether that obstacle is traversable or non-traversable, is determined. If traversable, the AMD may continue moving past the obstacle. If non-traversable, the location of the obstacle may be added to a map used for route planning. Based on the location of the non-traversable obstacle, the AMD may move to a recovery location away from the obstacle, and resume moving.

Abstract: A method of power-saving and/or proximity-based auto-waking of a mobile device and/or an input device or stylus includes determining, by a mobile device, that motion of an input device has occurred. The method further includes sending, based on the determining of the motion of the input device, a power-on signal to a touch controller circuit and sending a wireless connection beacon using a short-range wireless communication protocol. The method includes receiving acknowledgement data responsive to the wireless connection beacon from the input device and sending, in an instance where a central processing unit (CPU) is in a low-power state, a power-on signal to the CPU. The method further includes receiving, using the short-range wireless communication protocol, input data associated with an interaction of the input device with a display of the mobile device.

Abstract: Technologies directed to calculating an array factor for a phased array antenna are described. One wireless device with a phased array antenna receives inputs and defines a first variable in a first coordinate space and defines a set of amplitudes of a one-dimensional or two-dimensional inverse Fast Fourier Transform (IFFT). Each amplitude is based on the third value, an excitation amplitude and an excitation phase or delay of a respective antenna element. The wireless device determines first array factor values in the first coordinate space by computing the one-dimensional IFFT using the first variable. The wireless device performs a spline or linear interpolation to obtain second array factors at points in the physical coordinate space. The wireless device sends the second array factors to digital beam forming (DBF) circuitry that causes the phased array antenna to steer a radiation beam using the second array factor values.

Abstract: Systems and methods are described for providing a secure network connection between a serverless instance and an external environment with respect to a serverless execution environment hosting the serverless instance. A secure connection management system may be implemented in a serverless execution environment with at least one host device hosting the one or more function execution environments. The secure connection management system may facilitate establishment and management of a secure network connection between the serverless instance and the external environment in accordance with the connection configuration. The secure connection management system may also be isolated from the function execution environments in a separate execution environment such that the secure connection management system may take action to reduce risk to the external environment against issues with the execution of serverless function code on the serverless instance.

Abstract: Aspects of the present disclosure enable a system to perform automated risk analysis of source code of applications. The system may include a machine learning model to analyze the source code. The machine learning model may output an application risk value. Further, the application risk value may be used to determine a remedial action. The remedial action may address a risk associated with the application risk value, or allow for publication of the application.

Abstract: The present disclosure generally relates to systems and methods for generating images of an approved identity wearing an article of clothing. The image generation system may generate an image of a person with a blurred face wearing a particular article of clothing based on a received clothing image and estimated attributes from an image depicting the face associated with the approved identity. The image generation system may then deblur the face into a sharp face conditioned on the approved identity based on training of limited data with sharp faces. To generate the final output image, the image generation system integrates the deblurred face into the generated image of the first stage.

Abstract: Techniques for generating a personalization identifier that is usable by a skill to customize output of supplemental content to a user, without the skill being able to determine an identity of the user based on the personalization identifier, are described. A personalization identifier may be generated to be specific to a skill, such that different skills receive different personalization identifiers with respect to the same user. The personalization identifier may be generated by performing a one-way hash of a skill identifier, and a user profile identifier and/or a device identifier. User-perceived latency may be reduced by generating the personalization identifier at least partially in parallel to performing ASR processing and/or NLU processing.

Abstract: This disclosure describes, in part, a mobile apparatus for identifying items within a facility using an omnidirectional imaging system. For instance, the mobile apparatus may include a main frame, a chassis attached to the main frame, a basket that attaches to the chassis in order to prevent the basket from contacting the main frame, and an omnidirectional imaging system providing image data in and around the mobile apparatus. A user may place item(s) within a receptacle of the basket. The mobile apparatus may further include a handlebar module attached to the main frame, the handlebar module including the omnidirectional imaging system and a computing system for identifying items and events in and around the cart.

Abstract: Systems and techniques are described for providing video enhancements during sports broadcasts. In various examples, first tracking data representing first respective locations of a first plurality of players on a two-dimensional plane at a first time may be received. First embedding data representing a formation of the first plurality of players at the first time may be generated based at least in part on the first tracking data. A first set of historical plays may be determined based at least in part on searching a first data store using the first embedding data. A first area of the two-dimensional plane corresponding to a play vulnerability may be determined based on respective outcomes of the first set of historical plays. A first graphical overlay may be displayed in association with the first area on a live video feed.

Abstract: An improved data system supports creation of multiple hierarchical database catalogs under a particular account. Users or organizations have the flexibility to organize their data, native or external, into an n-level hierarchy of their choice. There is a root database catalog of the account, and other catalogs (1 or n-levels) are created under it. The data system has extract, transform, and load (ETL) features that allows data to be moved between different data sources and targets.

Abstract: Techniques for static script malware detection with semantic code representations are described. A request to perform a static malware detection analysis is received, the request identifying a script comprising code. A semantic representation of the script is generated, the semantic representation including context about statements in the code of the script. A feature space embedding is generated based at least in part on the semantic representation of the script. generating, based at least in part on the feature space embedding, A result indicating whether the script is malicious is generated based at least in part on the feature space embedding. An identification of the script and the result is stored in an entry in a log.

Abstract: A machine learning network is trained to use biometric input data to generate representation data used to assert identity. The network may be trained to consider particular features of interest. For example, the biometric input data may comprise an image of a user's hand. Particular features may comprise one or more of fine print ridges on the hand, principal lines and creases, wrinkles, veins, and so forth. In one implementation intermediate data produced by a first portion of the network is trained to be representative of the particular feature(s) of interest. The resulting representation data, such as produced by a second portion of the network, may thus be based on these features of interest. In another implementation the image is processed to determine feature data, and the image and feature data are provided as input to the network. A hybrid network may also be used.

Abstract: A cart system for inventory management can include a cart frame including a base, a handle to control movement of the cart frame, a stationary shelf, and a movable shelf disposed above the stationary shelf. The movable shelf is movable in a path of travel vertically overhead of the stationary shelf to change a volume underneath the movable shelf to stack items over each other within the volume and supported by the stationary shelf. A height adjustor can be configured to lower or raise the movable shelf in a vertical direction to an ergonomic height for loading the items and a storage height to store the items while creating sufficient volume below the movable shelf loading the items on the stationary shelf. A cart controller can be configured to receive a height input, and control the height adjustor based on the height input.