Abstract: A communication device includes a conductive chassis, an electrical feed positioned within the conductive chassis and configured to supply a communication signal, an edge antenna at least partially formed in the conductive chassis at an edge of the communication device, and a conductive coil positioned within the conductive chassis in proximity to the edge antenna. The conductive coil is configured to receive the communication signal from the electrical feed and to generate a magnetic field corresponding to the communication signal that inductively drives the edge antenna to radiate a radio frequency signal corresponding to the communication signal.

Abstract: A multi-tenant system provides software-updating functionality that selectively updates tenant systems according to a number of different factors. In some embodiments, the factors include evaluation of “health metrics” that quantify how well tenant systems are functioning after an update of software components to the latest version, policies specified by either the tenants or the multi-tenant system (or both), and/or “kill switches” specified by the multi-tenant system that prevent updating, as some examples.

Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: A system to detect quality of a silk cocoon is disclosed. The plurality of subsystems includes an image processing subsystem, configured to process the captured image of the one or more silk cocoons for noise. The plurality of subsystems includes an object detection subsystem, configured to detect cocoon contours from processed image. The plurality of subsystems also includes a cocoon analysing subsystem, configured to identify shape of the cocoon from the detected cocoon contours by using a shape function, compute a set of the parameters, validate the set of parameters with prestored parameters and determine the quality of each of the one or more silk cocoons based on the results of validation. The system uses OpenCV functions of python to do such complex work of grading silk cocoons. Such process reduces manual labour all together.

Abstract: Photovoltaic devices with very high breakdown voltages are described herein. Typical commercial silicon photovoltaic devices have breakdown voltages below 50-100 volts (V). Even though such devices have bypass diodes to prevent photovoltaic cells from going into breakdown, the bypass diodes have high failure rates, leading to unreliable devices. A high-efficiency silicon photovoltaic cell is provided with very high breakdown voltages. By combining a device architecture with very low surface recombination and silicon wafers with high bulk resistivity (above 10 ohms centimeter (?-cm)), embodiments described herein achieve breakdown voltages close to 1000 V. These photovoltaic cells with high breakdown voltages improve the reliability of photovoltaic devices, while reducing their design complexity and cost.

Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction ? as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on ?.

Abstract: A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.

Abstract: A method for ensuring precedence for the processing of a blockchain transaction to prevent loss of cryptographic currency includes receiving a new blockchain transaction by a blockchain node in a blockchain network, confirming the new blockchain transaction including identifying a precedence transaction that was previously conducted and stored in the blockchain that involves both blockchain wallets included in the new blockchain transaction, including the new blockchain transaction in a new block that is generated, and distributing the new block to additional nodes in the blockchain network for confirmation and addition to the blockchain.

Abstract: Example lithotripsy probe assemblies, lithotripsy systems, and methods of using a lithotripsy system are described. An example lithotripsy probe assembly has a probe coupling, a probe, and a plurality of sealing members disposed on the probe coupling. The probe coupling has a probe coupling proximal end, a probe coupling distal end, a probe coupling length, and a probe coupling main body that defines a plurality of projections, a probe coupling first passageway, and a probe coupling second passageway. The probe coupling length extends from the probe coupling proximal end to the probe coupling distal end. The probe is attached to the probe coupling and is partially disposed within the probe coupling first passageway. The probe has a probe proximal end, a probe distal end, and a probe length that extends from the probe proximal end to the probe distal end and is greater than the probe coupling length.

Abstract: Apparatuses, methods, and systems for a surface wave based wireless connection to an electronic device are disclosed. One apparatus includes a surface wave guide that supports propagation of electro-magnetic waves over a two-dimensional conductive surface of the surface waveguide, wherein the two-dimensional conductive surface is treated to increase a surface reactance of the two-dimensional conductive surface over a frequency range of the electro-magnetic waves, while maintaining an insertion loss of the surface waveguide below a threshold. A first mode converter operates to couple electro-magnetic waves of a first mode to the two-dimensional conductive surface having a second mode, wherein the electro-magnetic waves of the second mode propagate across the two-dimensional conductive surface of the surface waveguide. At least a portion of the electro-magnetic waves of the two-dimensional conductive surface is coupled to an electronic device through a second mode converter of the electronic device.

Abstract: Techniques are provided for generating feature-level recommendations for content items. One method comprises obtaining feature values related to a content item; applying the feature values to a trained engagement prediction model that generates an influence score for each feature value, wherein the influence score for each feature value indicates an influence of each respective feature value on a performance indicator associated with the content item; generating a recommendation for improving the performance indicator using the influence score for each feature value; and initiating a modification of the content item using the recommendation. Features can be selected using an artificial intelligence technique that performs a sub-image analysis on historical content items to evaluate an area of influence for a region of the historical content items when a feature value of a feature is changed. An automated feature extraction process may extract feature values using machine learning model.

Abstract: A computer-implemented method of performing queries using Artificial Intelligence (AI) database embeddings includes the operations of generating a plurality of vector embeddings describing a training data from a database for training a machine learning model. A test vector embedding is generated from the plurality of vector embeddings based on training data for unseen data from one or more rows of the database. One or more vectors from the plurality of vector embeddings describing the training data that are a closest match to the test vector embedding are identified. A task is determined based upon the unseen data. The determined task is performed using the trained machine learning model.

Abstract: Systems, computer-implemented methods and/or computer program products to facilitate interpretation of a result of execution of a query over a structured database are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines a result of execution of a query over a structured database. The computer executable components also can comprise an interpretation component that interprets data underlying the result of execution of the query to determine one or more reasons that the result is provided in response to the query.

Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction ? as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on ?.

Abstract: Methods for depositing tellurium-containing films on a substrate are described. The substrate is exposed to a tellurium precursor and a reactant to form the tellurium-containing film (e.g., elemental tellurium, tellurium oxide, tellurium carbide, tellurium silicide, germanium telluride, antimony telluride, germanium antimony telluride). The exposures can be sequential or simultaneous.

Abstract: A server computer may receive and process a plurality of time series data to generate sparse datasets based on sparsity levels. The server computer applies a time series forecasting model to each respective subset of previous data points of the sparse datasets increasingly at the first time granularity to generate a set of prediction values and a set of residuals; applies a regression model to the set of the prediction residuals to generate a set of adjusted residuals for the sparse datasets; and generates a visualized explanation based on the set of the prediction values and the set of adjusted residuals for one or more of the sparse datasets.

Abstract: Disclosed herein are systems and methods for virtual mapping in autonomous vehicle operation. The systems and methods include navigating, by a computing system, a virtual model of an autonomous vehicle through a virtual environment corresponding to an interior space of a real-world building; generating, by the computing system, a virtual map of the interior space for the autonomous vehicle based on the navigation through the virtual environment; and transmitting, by a communication device of the computing system, the virtual map to the autonomous vehicle for navigating the interior space.

Abstract: In some embodiments, a first provider edge (PE) router is coupled to a first customer edge (CE) router; a second CE router; and a second PE router. The second PE router is coupled to the first CE router and the second CE router. The first PE router is configured with a primary label comprising a primary next hop of the first CE router and a backup next hop of the second PE router and a secondary label comprising a primary next hop of the first CE router and a backup next hop of the second CE router. The second PE router is configured with a primary label comprising a primary next hop of the first CE router and a backup next hop of the first PE router and a secondary label comprising a primary next hop of the first CE router and a backup next hop of the second CE router.

Abstract: An example apparatus includes: a first flip flop having a first output and a first reset input, a second flip flop having a first data input, a second output, and a second reset input, the second reset input coupled to the first reset input, a logic gate having a first logic input, a second logic input, and a first logic output, the first logic input coupled to the first output and the second logic input coupled to the second output, a delay cell having a delay cell input and a delay cell output, the delay cell input coupled to the first logic output and the delay cell output coupled to the first reset input and the second reset input, and pulse swallowing circuitry having a circuitry input and a circuitry output, the circuitry input coupled to the second output and the circuitry output coupled to the first data input.

Abstract: A method for ensuring precedence for the processing of a blockchain transaction to prevent loss of cryptographic currency includes receiving a new blockchain transaction by a blockchain node in a blockchain network, confirming the new blockchain transaction including identifying a precedence transaction that was previously conducted and stored in the blockchain that involves both blockchain wallets included in the new blockchain transaction, including the new blockchain transaction in a new block that is generated, and distributing the new block to additional nodes in the blockchain network for confirmation and addition to the blockchain.