Abstract: The low power wide area network communication mechanism mainly allocates the semi-persistent scheduling (SPS) frames to the terminal devices having network access requirements sequentially by the gateway. The SPS cycle is composed of a plurality of SPS frames and at least one buffering frame. In each SPS cycle, a data reception window is activated by the gateway according to each allocated SPS frames; the SPS frames that the networked terminal devices belong to are activated synchronously within each SPS cycle in order for the networked terminal devices to perform a data transmission with the gateway during each SPS cycle and ensure that the data transmission does not overlap with the data sent by other terminal devices. The scheduling may be re-scheduled at a preset time interval to allocate the SPS frames of terminal devices that are inoperable or out of service area to the terminal devices having network access requirements.

Abstract: Techniques for providing forward-looking mobile network performance visibility via an intelligent application programming interface are described. Network performance metadata associated with a wireless network of a communications service provider is obtained and stored in a data lake. One or more machine learning models are trained based on use of the wireless network performance metadata. The one or more machine learning models, or predictions such as forecasts generated via use of the models, are used to service requests received at a cloud provider network seeking forward-looking performance characteristics of the wireless network.

Abstract: Techniques implementable by a computer system are provided. The techniques include receiving, by a server device, a request to stream media, the request including a media content and a streaming start point in the media content. The techniques also include determining a first time length based at least in part on time to receive permissioning. The techniques also include determining a silence point in the media content based at least in part on the streaming start point, the first time length, and identified silence points in the media content. The techniques also include determining a second time length based at least in part on the silence point and the streaming start point, the second time length defining a clear portion. The techniques also include generating a media stream comprising the clear portion and a remaining portion, the clear portion having a time length of the second time length.

Abstract: Techniques are described for analyzing privilege escalation risks within the accounts, roles, and policies that comprise an organization's cloud provider environment. Privilege escalation refers broadly to scenarios in which a principal (e.g., a person or application) is able to gain access to resources or actions in a cloud provider environment that exceed a level intended for that principal. In the context of cloud provider environments, for example, such privilege escalation risks can result from the misconfiguration of policies and permissions attached to identities (e.g., users, groups of users, or roles) within an organization's environment. A multi-layer reasoning framework is used to build an ontology model of an organization's identities and relations among the identities, including defined access relationships, permission mutation relationships, and credential mutation relationships.

Abstract: Low latency search for nearest neighbors in a dataset containing a large number of entries is improved using an error correction code (ECC) for partitioning data into clusters and retrieval. During initialization and preprocessing a d-dimensional space with clusters corresponding to ECC codewords is specified. Entries in the dataset are embedded into this space and associated with respective codewords, each codeword specifying a cluster. An index associates the codewords, clusters, and entries. During a query of the dataset, a query entry is processed to determine a query embedding in the d-dimensional space. The query embedding is used as input for a list decoder of the ECC. The list decoder provides a set of nearest codewords, with those codewords representing a set of candidate clusters that may contain nearest neighbors. The dataset entries associated with the candidate clusters may then be searched to determine query results comprising specific entries.

Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement both automated- and manual-checkout techniques for customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to pick items from shelves and other inventory locations and exit the store without performing manual checkout of the items, as well as technology to allow users to pay for their items using point-of-sale (POS) and/or other manual-checkout techniques. The systems described herein thus enable hybrid retail facilities, as opposed to a retail facility that is either entirely traditional or entirely enabled for automated checkout.

Abstract: A technique for performing lattice surgery without using twists is disclosed. Also, an error correcting code and decoder is provided that allows for error decoding of Pauli measurements performed in association with a lattice surgery operation. This allows for overall run-times of lattice surgery to be reduced. For example, some level of errors are tolerable, because they can be corrected, thus fewer measurement rounds (dm) may be performed for a given round of Pauli measurements. Additionally, a temporal encoding of lattice surgery technique is provided, which may additionally or alternatively be used to shorten run times. Also, a quantum computer layout is provided, wherein the layout includes a core computing region and a cache region. Also, protocols for swapping logical qubits between the core and cache are provided.

Abstract: System and methods are provided that can address dynamically determining capacity allocations for multiple services on the same computing devices in the same point of presences (PoPs). A routing and capacity management system receives logs from the services. The routing and capacity management system processes logs from the services to generate data that reflects resource usage at respective PoPs and/or border links. The routing and capacity management system dynamically determines capacity allocation for the services based on the generated data and instructs the services with the capacity allocation changes.

Abstract: Techniques for facilitating an autonomous operation, such as an autonomous navigation, of an unmanned vehicle based on one or more fiducials. For example, image data of a fiducial may be generated with an optical sensor of the unmanned vehicle. The image data may be analyzed to determine a location of the fiducial. A location of the unmanned vehicle may be estimated from the location of the fiducial and the image. The autonomous navigation of the unmanned vehicle may be directed based on the estimated location.

Abstract: A system configured to perform audio type detection for sound source localization (SSL) data is provided. A device processes audio data representing sounds from multiple sound sources to determine SSL data that distinguishes between each of the sound sources. To identify an audio type associated with a sound source and/or track individual sound sources over time, the device can determine a correlation between the SSL data and an audio event. Examples of audio events include a wakeword component detecting a wakeword or an acoustic event detector detecting a particular acoustic event. The device may determine a correlation between wakeword data indicating that a wakeword is represented in the audio data and SSL data for each individual sound source. The device may then identify a sound source that is most strongly correlated to the wakeword data and associate the wakeword and a corresponding voice command with the sound source.

Abstract: The coherency of data can be maintained even for accelerators that may not directly support, or be part of, a coherency protocol or domain. A pair of agents can be utilized that include an application accelerator agent and a coherent agent. The coherent agent can support the coherency protocol and track coherency information for data in the coherency environment, to ensure coherent access to the data. The application accelerator agent can work with the coherent agent to obtain the data according to the coherency protocol, then perform operations on the data corresponding to a respective application or process. Such an approach enables an accelerator to function like a processor or processor core that otherwise supports the coherency protocol and is part of the coherency domain. A single coherent agent can be used to maintain coherency information for multiple other components or agents.

Abstract: Some embodiments provide a compiler for optimizing the implementation of a machine-trained network (e.g., a neural network) on an integrated circuit (IC). The compiler of some embodiments receives a specification of a machine-trained network including multiple layers of computation nodes and generates a graph representing options for implementing the machine-trained network in the IC. In some embodiments, the graph includes nodes representing options for implementing each layer of the machine-trained network and edges between nodes for different layers representing different implementations that are compatible. In some embodiments, the graph is populated according to rules relating to memory use and the numbers of cores necessary to implement a particular layer of the machine trained network such that nodes for a particular layer, in some embodiments, represent fewer than all the possible groupings of sets of clusters.

Abstract: Systems, methods, and computer-readable media are disclosed for annotating content data such as video data with annotation data (e.g., images, emoji, memes, stylized text, sounds) in near real time. Example methods may include determining transcribed text from the content data, associated annotation data with the transcribed text, and annotating the content data with some or all transcribed text and annotation data. Example methods may further include editing the annotated content data to generate modified annotated content data and sending the annotated content data and/or modified annotated content data to a device.

Abstract: An operational mode can be designated for a computing device, such as an integrated circuit. In particular, an input signal may be used to determine an operational mode, which may lead to bypassing or otherwise restricting one or more boot operations to permit use of the computing device. Such an approach provides improved flexibility to permit use of the computing device for testing or debugging while maintaining security features used during other operational modes.

Abstract: A gripping tool includes first and second fingers coupled to a base member such that a distance between the first and second fingers is adjustable. First and second grippers are attached to the first and second fingers, respectively. The first and second grippers each have a compliant gripping surface and are each selectively expandable so as to reduce the distance and grip select portions of an item. A first actuator is operatively coupled to the first gripper and is configured to selectively expand the first gripper in a first direction. A second actuator is operatively coupled to the second gripper and is configured to selectively expand the second gripper in a second direction. At least one of the first and second actuators is configured to vary an expansion force of the respective first gripper in the first direction or the second gripper in the second direction.

Abstract: Systems, methods, and computer-readable media are disclosed for container transporters and related item manipulation devices. In one embodiment, an example item manipulation device may include a support platform, and a conveyance surface coupled to the support platform, where containers can be moved over the conveyance surface from a first end of the support platform to a second end of the support platform. Some embodiments may include a first actuator extending along a length of the conveyance surface, a sliding component configured to be actuated from a first end of the first actuator to a second end of the first actuator, and a rotary actuator coupled to the sliding component. Example embodiments may include a member coupled to the rotary actuator, the member configured to be actuated from a first position to a second position via the rotary actuator, and a suction cup assembly coupled to the member.

Abstract: Some embodiments of the invention provide a method for implementing a temporal convolution network (TCN) that includes several layers of machine-trained processing nodes. While processing one set of inputs that is provided to the TCN at a particular time, some of the processing nodes of the TCN use intermediate values computed by the processing nodes for other sets of inputs that were provided to the TCN at earlier times. To speed up the operation of the TCN and improve its efficiency, the method of some embodiments stores intermediate values computed by the TCN processing nodes for earlier sets of TCN inputs, so that these values can later be used for processing later set of TCN inputs.

Abstract: A mapping between environments and devices included therein may be maintained, such that a configuration of each environment is known. Upon detecting that a user is within an environment, and based on a current device state of devices within the environment, an application may be generated and presented to the user via a corresponding user device. The application may allow the user to activate and control the devices within the environment. In particular, the application may depict selectable controls that correspond to functions or operations associated with the different devices within the environment. The application may also be dynamically updated based on an updated current device state of the devices.

Abstract: A system for redistributing traffic in response to failure of a service region. An event bus service is configured to monitor performance of computing resources in a first region of the plurality of regions, wherein events are received from one or more event sources at the event bus via a network endpoint created for the event bus and delivered to one or more event targets by the event bus service in the primary region. Based on the monitoring of the performance of the computing resources in the first region, the event bus service detects a region change event for the event bus in the first region, after detection of the region change event, redirects further events to the event bus in the secondary region, wherein the further events are delivered to the one or more event targets by the event bus service in the secondary region.

Abstract: Techniques for training local decoders for use in a local and global decoding scheme for quantum error correction of circuit-level noise within quantum surface codes such that the decoding schemes have fast decoding throughout and low latency times for quantum algorithms are disclosed. The local decoders may have a neural network architecture and may be trained using training data sets comprising simulated rounds of syndrome measurements for respective simulated quantum surface codes in addition to information such as syndrome differences, qubit placements, and temporal boundaries within the simulated rounds of syndrome measurements in order to train the local decoders for arbitrarily sized quantum surface codes and arbitrary numbers of rounds of syndrome measurements. Following a local decoding stage in which a large number of data errors have been corrected by a local decoder, error correction for remaining errors may continue with a more efficient global decoding stage.