Abstract: A system may create a localized machine learning model including one or more customized local parameter values using a global model and variance data. The localized machine learning model may be used by a device or cohort of devices to perform evaluations of data. The localized model may be trained based off a global model that is adjusted and then trained a certain number of steps, where the number of steps is based at least in part on the variance data. The variance data may include variance data from other device cohorts which is received from a remote device, which can also re-train the global model using the variance data and/or the localized machine learning model(s).

Abstract: A network device can be used on a client side and a server side to accelerate request/response protocols for object transfers between the client side and the server side. The network device can interface with an application executing on the host device, which can allow the network device to expose different operations that can enable acceleration of different higher level object transfer commands. The network device can expose operations to pre-post anonymous receive buffers and client buffers even before the server side responds to the object transfer commands, which can allow the client buffers to be available to the server early on. Small transfers can be performed without remote direct memory access (RDMA) and can be received in the anonymous receive buffers at the server side. Bulk object data can be sent via RDMA for direct data placement into the client buffers to enable zero copy.

Abstract: Cross domain resource access includes accessing resources in a first domain from a second domain. This may be performed using the methods, system, and devices described herein. This may include maintaining a mapping identifier for a user of a service provider based on user information. The service provider may provide first and second security domains for the user. The mapping identifier may be associated with an endpoint of a private cloud computing service of the first security domain. The may also include receiving, from the first security domain, a request associated with a resource of the second security domain, the request comprising the mapping identifier. This may also include routing the request from the first security domain to the second domain via a first private network link of the first security domain and a second private network link of the second security domain using a confidentiality controlled interface.

Abstract: The present application is directed to creating intrusion zones for security systems. For example, a client device may cause a graphical user interface (GUI) to be displayed on a display, the GUI configured for creating an intrusion zone for an audio/video (A/V) recording and communication device. The GUI may include one or more motion zones associated with a field of view of the A/V recording and communication device. While displaying the GUI, the client device may receive a first input selecting a motion zone from the one or more motion zones, at least a portion of the motion zone being associated with the intrusion zone, a second input for setting a conditional setting for the intrusion zone, and a third input selecting an activation mode of the security system to associate with the intrusion zone.

Abstract: Systems and methods for providing executable instructions to a neural network processor are provided. In one example, a system comprises a database that stores a plurality of executable instructions and a plurality of subgraph identifiers, each subgraph identifier of the plurality of subgraph identifiers being associated with a subset of instructions of the plurality of executable instructions.

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: Methods for negotiating parameters for maintaining, at an analytical database, a replica of a transactional table, stored at a transactional database, are disclosed. By establishing parameters of said maintenance prior to commencing, the transactional database and the analytical database may remain only loosely coupled after completing the negotiation. The parameters of the negotiation may be stored in a location that is accessible to both the transactional database and the analytical database, such that the results of the negotiation may be accessed during the process of maintaining the replica. The negotiation may include a procedure to provide portions of a change-data-capture log, associated to the transactional table, to the analytical database via a transport mechanism such that the replica may be updated, in addition to a list of agreed upon data definition language commands that may be used in the portions of the change-data-capture log.

Abstract: A speech-processing system may provide access to one or more virtual assistants via an audio-controlled device. A virtual assistant may be invoked by speaking a wakeword. In some cases, a default virtual assistant may be invoked when an utterance is spoken without a preceding wakeword. Such a multi-assistant speech-processing system may make an early determination that a received utterance does not include a wakeword, and begin processing the utterance prior to completion of the utterance, thereby reducing user perceived latency. For example, the system may start a timer when a gesture and/or voice activity is detected. If no wakeword is detected after a time corresponding to speaking durations of known wakewords, the system may determine that the utterance is to be processed according to the default virtual assistant.

Abstract: Static memory allocation may be performed for weight values across multiple processing units executing a neural network. A neural network may be received for execution across multiple processing units. A partitioning scheme may be applied to divide the neural network into subgraphs. The subgraphs may be assigned to different processing units. The weights for the operations of the subgraph may be statically allocated in dedicated caches for the processing units as part of the instructions to execute the neural network across the processing units.

Abstract: Multiple independent endpoint devices can be emulated using a single system on chip (SoC) device. Such a SoC can have multiple cores that can emulate ports according to a specified protocol, such as the peripheral component interconnect express (PCIe) protocol useful for data communications. An emulation agent can manage various aspects of these emulated endpoint devices in software, including serving interrupts for relevant emulated devices according to a determined priority scheme. Interrupts can be registered for each device, and data structures allocated dynamically for a determined number and type(s) of PCIe endpoint devices to be emulated. Each PCIe core on the SoC can function as a separate PCIe endpoint device endpoint for communicating with one or more hosts or other such devices.

Abstract: A non-relational database may be emulated using a relational database with a distributed data store. A request to access the non-relational database may be received at a frontend for a relational database engine that emulates an interface for a non-relational database engine. The request may be translated into the format for the relational database engine and performed by the relational database engine. The relational database engine may access data for the non-relational database at storage nodes that store the data in a relational table column of non-relational data type.

Abstract: A system that is capable of controlling multiple entertainment systems and/or speakers using voice commands. The system receives voice commands and may determine audio sources and speakers indicated by the voice commands. The system may generate audio data from the audio sources and may send the audio data to the speakers using multiple interfaces. For example, the system may send the audio data directly to the speakers using a network address, may send the audio data to the speakers via a voice-enabled device or may send the audio data to the speakers via a speaker controller. The system may generate output zones including multiple speakers and may associate input devices with speakers within the output zones. For example, the system may receive a voice command from an input device in an output zone and may reduce output audio generated by speakers in the output zone.

Abstract: Systems, methods, and collection devices are disclosed for rapid, local PCR testing. The PCR testing system may be configured for use with a disposable sample collection device that includes a swab configured for collecting a biological sample from a patient; and a sample container configured to receive the swab and separate a bulk quantity of the biological sample from the swab for containment in a bulk collection chamber, which is located with the sample container, wherein the sample container is configured to meter a selected volume of the biological sample into a PCR sample tube, which contains a lyophilized master mix, releasably attachable to the sample container.

Abstract: A Data Delivery Service (DDS) is described, which is a service in a multi-tenant environment that transmits satellite data between a satellite antenna and a user instance. The DDS transports the antenna data to a different region, which allows a user to reuse their infrastructure for multiple antenna sites, thereby, reducing their infrastructure footprint and costs. Gateway instances can be launched at scheduled times in different regions and a secure communication channel can be established between the gateway instances to establish inter-region communication.

Abstract: Techniques for generating customized synthetic voices personalized to a user, based on user-provided feedback, are described. A system may determine embedding data representing a user-provided description of a desired synthetic voice and profile data associated with the user, and generate synthetic voice embedding data using synthetic voice embedding data corresponding a profile associated with a user determined to be similar to the current user. Based on user-provided feedback with respect to a customized synthetic voice, generated using synthetic voice characteristics corresponding to the synthetic voice embedding data and presented to the user, and the synthetic voice embedding data, the system may generate new synthetic voice embedding data, corresponding to a new customized synthetic voice. The system may be configured to assign the customized synthetic voice to the user, such that a subsequent user may not be presented with the same customized synthetic voice.

Abstract: Systems, devices, and methods are provided for generating machine code for a second execution environment based on bytecode generated for a first execution environment. A method may comprise steps to obtain a set of bytecode instructions executable in a first execution environment, parse the set of bytecode instructions to determine at least one stack-based class object, determine an intermediate representation (IR) of the set of bytecode instructions, wherein the intermediate representation comprising at least one single static assignment (SSA)-based representation that corresponds to the at least one stack-based class object, and translate the intermediate representation into machine code that is executable in the second execution environment. For example, Java bytecode generated to run on a Java Virtual Machine (JVM) may be translated to machine code that runs in an execution environment that lacks or otherwise restricts the use of a JVM.

Abstract: Methods, systems, and computer-readable media for event extraction from documents with co-reference are disclosed. An event extraction service identifies one or more trigger groups in a document comprising text. An individual one of the trigger groups comprises one or more textual references to an occurrence of an event. The one or more trigger groups are associated with one or more semantic roles for entities. The event extraction service identifies one or more entity groups in the document. An individual one of the entity groups comprises one or more textual references to a real-world object. The event extraction service assigns one or more of the entity groups to one or more of the semantic roles. The event extraction service generates an output indicating the one or more trigger groups and one or more entity groups assigned to the semantic roles.

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.