Abstract: A system includes a Zero IF transmitter having a mixer and a programmable gain stage. The Zero IF transmitter also includes an intermediate stage between the mixer and the programmable gain stage, wherein the intermediate stage is configured to decouple the mixer and the programmable gain stage.

Abstract: Analog gain correction circuitry and analog switching clock edge timing correction circuitry can provide coarse correction of interleaving errors in radio-frequency digital-to-analog converters (RF DACs), such as may be used in 5G wireless base stations. The analog correction can be supplemented by digital circuitry configured to “pre-cancel” an interleaving image by adding to a digital DAC input signal a signal equal and opposite to an interleaving image created by the interleaving DAC, such that the interleaving image is effectively mitigated. Error correction control parameters can be periodically adjusted for changes in temperature by a controller coupled to an on-chip temperature sensor. A model useful for understanding the sources of error in interleaving DACs is also described.

Abstract: A method for maintaining peak intensity frames is provided. The method includes receiving a plurality of frames, each of which has an associated frame intensity, from a camera sensor; selecting a preview frame and a previous preview frame from among the plurality of frames; performing a coarse phase detection based on a frame intensity of the previous preview frame and the preview frame to identify a trend of frame intensity; monitoring a plurality of transitional preview frames after the preview frame; detecting at least one transitional frame having a frame intensity less than a previous transitional frame; and selecting a next transitional frame as a succeeding preview frame after the preview frame based on a frame intensity of the at least one transitional frame.

Abstract: Systems and methods are described for management of data transmitted between computing devices in a communication network. An administrative component can configure one or more devices in the communication path of messages to be exchanged by devices to interpret codes embedded in the communication messages. A receiving device can review incoming messages for one or more processing codes or instructions that are embedded in the portion of the communication typically utilized solely to identify the subject matter of the communication, generally referred to as the topic portion of the communication. The receiving devices can then process the embedded codes to determine how the communication message will be routed or otherwise processed.

Abstract: Techniques for generating and utilizing machine learning based adaptive instructions for annotation are described. An annotation service can use models to identify edge case data elements predicted to elicit differing annotations from annotators, “bad” data elements predicted to be difficult to annotate, and/or “good” data elements predicted to elicit matching or otherwise high-quality annotations from annotators. These sets of data elements can be automatically incorporated into annotation job instructions provided to annotators, resulting in improved overall annotation results via having efficiently and effectively “trained” the annotators how to perform the annotation task.

Abstract: Available capacity of resources hosted in different networks may be evaluated to select resources for the performance of a query. A query may be received via an interface for one network. The available capacity of the one network and other networks may be evaluated to select resources hosted in another network to perform the query instead of the resources in the one network. The query may then be routed to the resources in the other network and result of the query performed at the resources in the other network provided.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: A digital-to-analog converter system has digital-to-analog converters, a common output, and a digital controller for transmitting first codes to one of the converters at a radio-frequency digital rate, and for transmitting second codes to another one of the converters at the same rate. The digital controller includes a timing system for operating each converter at the digital rate in a return-to-zero configuration, such that a signal from the first converter is transmitted to the common output while the second converter is reset, and vice versa. The digital-to-analog converter system can generate a radio-frequency analog signal having signals in first and second Nyquist zones simultaneously.

Abstract: A system includes a Zero IF transmitter having a mixer and a programmable gain stage. The Zero IF transmitter also includes an intermediate stage between the mixer and the programmable gain stage, wherein the intermediate stage is configured to decouple the mixer and the programmable gain stage.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: Techniques for migrating servers from customer networks into service provider networks are described. A backup proxy can be deployed in a customer's network and associated with one or more servers in the customer's network and with a server migration service of a service provider network. A customer can identify a server in the customer's network to migrate and the server migration service coordinates the migration with the backup proxy. The backup proxy can be instructed to obtain replication data for the server, obtain configuration data associated with the server, and upload the replication data and configuration data to the service provider network. The service provider network uses the replication data and configuration data to create a migrated copy of the server at the service provider network.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for training a machine-learning model utilizing batchwise weighted loss functions and scaled padding based on source density. For example, the disclosed systems can determine a density of words or phrases in digital content from a digital content source that indicate an affinity towards one or more content classes. In some embodiments, the disclosed systems can use the determined source density to split digital content from the source into segments and pad the segments with padding characters based on the source density. The disclosed systems can also generate document embeddings using the padded segments and then train the machine-learning model using the document embeddings. Furthermore, the disclosed system can use batchwise weighted cross entropy loss for applying different class weightings on a per-batch basis during training of the machine-learning model.

Abstract: A network-based data discovery and consumption coordination service may provide data set listings for purchase offered by respective data vendors. The data discovery and consumption coordination service may provide listings in response to search requests based on various search criteria, as well as various filtering techniques based on user reviews, ratings, and other user purchase history for data set listings. The data discovery and consumption coordination service may receive a purchase request via a network-based interface for the service. Data consumption resources which may consume a purchased data set may also be identified via the network-based interface for the data discovery and consumption coordination service. The data discovery and consumption coordination service may direct the transfer of the data set for the purchased data set listing to the identified data consumption resource.

Abstract: Systems and methods are described for management of data transmitted between computing devices in a communication network. An administrative component can configure one or more devices in the communication path of messages to be exchanged by devices to interpret codes embedded in the communication messages. A receiving device can review incoming messages for one or more processing codes or instructions that are embedded in the portion of the communication typically utilized solely to identify the subject matter of the communication, generally referred to as the topic portion of the communication. The receiving devices can then process the embedded codes to determine how the communication message will be routed or otherwise processed.

Abstract: A system provides a configurable market mix modeling (MMM) platform based on machine-learning (ML). The system may include configurable MMM pipelines in which an end user may identify portions and/or inputs to the MMM pipelines to be included or excluded from ML modeling. The system may apply ML to market data to automatically discover variables that correlate with a key performance indicator (PKI) such as sales to be used for modeling. The system may automatically generate multiple models, filter the models for robustness and ensemble the filtered models to generate a unified model. The unified model may be optimized using a multi-layered approach and introducing deviations into the model.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing focused aggregation of classification model outputs to classify variable length documents. For instance, the disclosed systems can utilize a classification model to determine category scores for segments from an electronic document. Furthermore, the disclosed systems can identify positive trigger segments from the segments by comparing the category scores to a threshold category score. Moreover, the disclosed systems can determine a positive trigger ratio for the target category based on the positive trigger segments and the segments. Additionally, the disclosed systems can generate an aggregated category score for the electronic document from the positive trigger segments (when the positive trigger ratio satisfies a threshold positive trigger ratio) and distribute the electronic documents to client devices based on the aggregated category score.

Abstract: The present application discloses a novel fusion peptide of IL-2 and IL-33 and its use. It comprises a biologically active domain of Interleukin-2 (IL-2) or a biologically active fragment or homolog thereof, and a biologically active domain of Interleukin-33 (IL-33) or a biologically active fragment or homolog thereof. The two portions can be linked by a linker sequence. The application discloses that combination therapies using IL-2 and IL-33 or a therapy using the IL233 fusion protein are effective in preventing or treating diseases and disorders such as autoimmune diseases and disorders, inflammation, etc. Depending on the subject's disease or disorder, the compositions of the invention are useful for preventing certain symptoms, treating the disease, and alleviating at least some of the symptoms.

Abstract: Methods, systems, and storage media are described for Internet of Things (IoT) hubs and IoT cradles in mesh networks and/or fog computing systems while providing interoperability among IoT devices provided by various manufacturers, vendors, and service providers. IoT devices may be connected or attached to IoT cradles, and the IoT cradles may communicate data among themselves over a cradle network. The IoT cradles may also communicate IoT data with the IoT hub over a hub network. The IoT hub may communicate the IoT data with clients and/or servers over a wide area network using wired or wireless communication protocols. Clients may access resources and/or services provided by the IoT devices by accessing the IoT hub via a dedicated application. Other embodiments may be described and/or claimed.

Abstract: Payment administration systems and methods. A system includes first and second provider entities, a risk bearing entity, a distributed ledger and a payment manager application. The first provider entity provides at least a first step of the bundled treatment episode. The second provider entity provides at least a second step of the bundled treatment episode. The risk bearing entity approves the bundled treatment episode. The first and second provider entities and the risk bearing entity enter into one or more smart contracts related to payments for the bundled treatment episode. The distributed ledger enforces the one or more smart contracts. The payment manager application uses the distributed ledger technology. Each of the first and second provider entities send claims to the payment manager application. The payment manager application tags the claims as being part of the bundled treatment episode and approves the claims in accordance with the smart contracts.

Abstract: Embodiments provide integrated education management methods and systems to provide a personalized learning platform to users. An integrated education management system (IEMS) that includes an intelligent SaaS platform provides user a single interface for accessing different departments, functionalities or services of an organization. The Intelligent SaaS Platform provides a personalized learning platform and a subscriber network to learners. The personalized learning platform provide individual learning plans that empower students to learn at their own choice of time, place, and pace. The subscriber network connects a plurality of users, such as learners, personal mentors of the learners, resource creators, tutorial agents, or the like to share/sell and buy personalized and customized learning plan for the learners. This platform also includes analytical tools and engines that provide learning recommendations for the learners.