Abstract: Pauli surface codes form a class of two-dimensional codes from which a two-dimensional code may be selected to store quantum information for a particular application. The Pauli surface codes allow more flexibility in selecting a code configuration that bests meets the need of the particular application. For example, Pauli surface codes are not restricted to placing qubits on a square grid, as has been the case in previous surface codes. Additionally, a process for selecting a configuration to be used to implement a two-dimensional code for storing quantum information considers different Pauli codes and may utilize a machine learning algorithm to select a given Pauli code that is well suited for the particular application.

Abstract: Described are systems and methods for adjusting a takeoff platform for a vertical takeoff and landing (VTOL) aerial vehicle. The described systems and methods allow a VTOL aerial vehicle to be oriented prior to takeoff to reduce the effects that a VTOL aerial vehicle may experience due to weather conditions at takeoff. In view of the aerodynamic characteristics of a VTOL aerial vehicle and certain weather conditions, a heading, pitch, and/or roll of the VTOL can be provided to counteract the effects the VTOL may experience from the weather conditions at takeoff.

Abstract: Approaches presented herein relate to the management of secure secrets, such as digital certificates. When an operation is performed by a certificate authority (CA) with respect to a digital certificate, information for the operation is written to a blockchain (or other distributed and verifiable ledger) in addition to a secure database accessible to the CA. The ability of an external party to access the blockchain and independently verify information about a digital certificate can help to increase a level or assurance in the integrity of the CA, which can be important when an entity wants to act as (or offer) their own private certificate authority. Information in the blockchain can also help to identify “dark” certificates, which may appear valid but were not issued by a CA using a valid and secure process, and thus can be identified by a lack of valid transactions included in the corresponding blockchain.

Abstract: Systems, methods, and collection devices are disclosed for rapid, local PCR testing. The system may include a PCR testing module, memory configured to store computer-executable instructions, and at least one computer processor configured to access the memory and execute the computer executable instructions to: (i) receive an order for a PCR diagnostic test; (ii) associate a sample collection device (SCD) received by the PCR testing module with the order for a PCR diagnostic test; (iii) instruct the PCR testing module to conduct the PCR diagnostic test on a biological specimen in the SCD received by the PCR testing module; and (iv) cause presentation of results of the PCR diagnostic test.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: A resource management service implements techniques for provisioning a process with computing resources sufficient to process a query. A query is received and computing system resources sufficient to process the query are provisioned. A response to the query is generated by running the process with the provisioned computing system resources.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for on demand video recap generation. Example methods may include determining a first request to resume playback of video content, wherein the first request is associated with a user account, determining, using historical consumption data associated with the user account, a portion of the video content that has been consumed, where the portion of the video content comprises a first video segment and a second video segment, determining that a first video segment ranking of the first video segment satisfies an importance threshold, generating a video recap of the portion of the video content, wherein the video recap comprises the first video segment, and causing presentation of the video recap.

Abstract: Hyperparameters for tuning a machine learning system may be optimized using Bayesian optimization with constraints. The hyperparameter optimization may be performed for a received training set and received constraints. Respective probabilistic models for the machine learning system and constraint functions may be initialized, then hyperparameter optimization may include iteratively identifying respective values for hyperparameters using analysis of the respective models performed using an acquisition function implementing entropy search on the respective models, training the machine learning system using the identified values to determine measures of accuracy and constraint metrics, and updating the respective models using the determined measures.

Abstract: Systems and methods for accountless device control are disclosed. For example, a smart device may be acquired and plugged in for use. The smart device may gain network connectivity and a system associated with the smart device may request enablement of an application for use with the smart device from another system, such as a system associated with a voice-enabled device. The other system may generate and send user identifier data, and the system associated with the smart device may generate a shadow account in association with the user identifier data. The application may be enabled in association with the shadow account, and access credentials may be exchanged to securely send and receive information associated with operation of the access device.

Abstract: Some embodiments provide a method for training a machine-trained (MT) network that processes input data using network parameters. The method maps a set of input instances to a set of output values by propagating the set of input instances through the MT network. The set of input instances includes input instances for each of multiple categories. For a particular input instance selected as an anchor instance, the method calculates a true positive rate (TPR) for the MT network as a function of a distance between the output value for the anchor instance and the output value for each input instance not in a same category as the anchor instance. The method calculates a loss function for the anchor instance that maximizes the TPR for the MT network at low false positive rate. The method trains the network parameters using the calculated loss function.

Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.

Abstract: System and methods for IoT event detector correctness verification. Detector models (e.g., state-based models including variables, states, transitions and actions) take IoT device data as input and detect, based on the data, events that triggers actions. To verify a correctness of the models prior to deploying the models at scale, an event detector model correctness checker obtains a representation of a definition of the model, verifies, based on analysis of the model definition, whether the model complies with correctness properties, and generates a report indicating whether the model complies. Example correctness properties include a reachability correctness property that indicates that respective states or actions are reachable according to the definition of the event detector model. The analysis may be accessed via an interface element and may result in generation of a report that identifies a location of non-compliance within the model definition.

Abstract: A memory access tracking agent detects an access request directed to an in-memory representation of a target data structure. The agent obtains run-time context information pertaining to the request, including thread stack information. Indications of the occurrence of the access request and the context information are provided to a destination.

Abstract: A method for modifying recorded audio of a video title may include: identifying a video title available for presentation; identifying a portion of audio data, of the video title, representing dialogue of an actor of the video title; identifying a first utterance of the dialogue to be replaced in the video title; selecting, based on a replaceable amount of the audio data, a second utterance to replace the utterance word in the portion of the audio data; generating, based on a voice profile of the actor, first speech signals representing the actor uttering the second utterance; removing second speech signals representing the actor uttering the first utterance from the dialogue; adding the first speech signals into the dialogue using at least a portion of the replaceable amount; and generating a modified version of the video title comprising the dialogue with the speech signals added.

Abstract: Devices and techniques are generally described for three dimensional room modeling. In various examples, a three-dimensional (3D) room model comprising at least a first wall and a floor may be received. A first sphere sized and shaped such that the 3D room model fits within the first sphere may be determined and a virtual camera may be positioned on the first sphere at a first position. A first command may be received to move the virtual camera in a first direction. The virtual camera may be translated in the first direction along a surface of the first sphere to a second position. A view of the interior of the 3D room model may be displayed from a second viewpoint of the virtual camera at the second position.

Abstract: A device can perform device arbitration, even when the device is unable to communicate with a remote system over a wide area network (e.g., the Internet). Upon detecting a wakeword in an utterance, the device can wait a period of time for data to arrive at the device, which, if received, indicates to the device that another speech interface device in the environment detected an utterance. If the device receives data prior to the period of time lapsing, the device can determine the earliest-occurring wakeword based on multiple wakeword occurrence times, and may designate whichever device that detected the wakeword first as the designated device to perform an action with respect to the user speech. To account for differences in sound capture latency between speech interface devices, a pre-calculated time offset value can be applied to wakeword occurrence time(s) during device arbitration.

Abstract: A system can be configured to receive and analyze an image captured by a customer at a delivery location to enable identification and verification of the delivery location upon arrival of a deliverer at the delivery location. The system can utilize algorithms trained to determine identifying features of the delivery location from the image and/or provide the image to the deliverer for manual verification. The system can provide the deliverer with the image and additional information specific to the delivery location based on one or more geofences associated with the delivery location. The image, the additional information and the manner of presentation can be configured to guide the deliverer to approved drop-off locations and ensure package placement for delivery to a customer.

Abstract: A method including establishing, at a first wireless audio device, a first communication channel with a second wireless audio device, receiving, at the first wireless audio device, audio data corresponding to a user utterance, determining that the audio data includes a wake word, transmitting at least a portion of the audio data from the first wireless audio device to a mobile device via a second communication channel, receiving an indication to establish a third communication channel with a second wireless audio device, and establishing the third communication channel with the second wireless audio device.

Abstract: A message indicating an auxiliary task associated with traffic transmitted via a virtual router between a pair of isolated networks is received at an offloading device. A stack multiplexer at the offloading device selects a protocol stack instance to process the message. A result of the auxiliary task is obtained by the multiplexer from the selected protocol stack instance and transmitted to the virtual router, where it is used to transmit a packet between the isolated networks.

Abstract: Devices and techniques are generally described for an edge computing system. In various examples, the edge computing system may comprise a host kernel comprising a kernel-based virtual machine hypervisor. In some examples, the edge computing system may comprise virtualization software effective to communicate with the kernel-based virtual machine hypervisor to execute guest virtual machines. In various further examples, the edge computing system may comprise an engine virtual machine with access to at least one hardware component. The edge computing system may further comprise a control plane virtual machine. The control plane virtual machine may include components effective to receive a first request and determine an application corresponding to the first request, and a virtual machine manager effective to control the virtualization software to generate a virtual machine, configured in accordance with a configuration specific for the virtual machine, for executing the application.