Abstract: Methods, systems, and computer storage media for providing an error remediation recommendation—for flagged incorrect values in broadband service deployment data—using a broadband error remediation engine in a data analytics system. The error remediation recommendation can identify a corrective action to resolve errors (i.e., incorrect values) in broadband service deployment data. Operationally, the broadband error remediation engine is configured to access broadband service deployment data associated with a plurality of broadband service data features. The broadband error remediation engine uses an error remediation model to and a plurality of datasets to execute a sequence of error remediation operations (e.g., checks and comparisons). Based on executing the sequence of error remediation operations, a corrective action (e.g., change geographic coordinates or remove deployment units) for an incorrect value of a broadband service feature in the broadband service deployment data.

Abstract: Systems, computer program products, and methods are described herein for secure channel selection for multi-factor authentication using non-fungible electronic resources.

Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: Systems and methods for bit line modulation to compensate for cell source variation are disclosed. For example, a method for reading data from non-volatile storage comprising determining a first bit line level based on a first programmed data state that is being sensed and determining a second bit line level based on a second programmed data state that is being sensed. As another example, a storage device comprising a first bit line driver configured to generate a first bit line level for a first set of bit lines corresponding to a first set of memory strings based on a first cell source level associated with the first set of memory strings a second bit line driver configured to generate a second bit line level for a second set of bit lines corresponding to a second set of memory strings based on a second cell source level associated with the second set of memory strings.

Abstract: One disclosed method involves storing, in a storage medium, at least a first keyword corresponding to content of a video, after storing the first keyword, receiving, via a video playback application, an indication that playback of the video is initiated, in response to receipt of the indication, retrieving the first keyword from the storage medium, querying at least one data source for information corresponding to the first keyword, and causing a client device to display a representation of the information.

Abstract: In an aspect, measurement processing circuitry may obtain, from a sensor, a first measured value of a measured object, the first measured value corresponding to a first power consumption level of the measured object at a first time point. The measurement processing circuitry may obtain, from the sensor, one or more second measured values of the measured object, the one or more second measured values corresponding to one or more second power consumption levels of the measured object at one or more second time points earlier than the first time point. The measurement processing circuitry may determine a corrected value based on the first measured value and the one or more second measured values, the corrected value representing the first power consumption level of the measured object at the first time point.

Abstract: Given a set of port stations, a collection of forwarding orders to/from the port stations, and a set of available rail rakes along with their current schedules, a rake plan that maps order containers to rakes is generated. The optimization model is constrained by rake availability, rake capacity (the number of containers that can be accommodated by a rake), and the indivisibility of containers. The scheduling of the rail rakes can be represented as a sparse 3-dimensional binary matrix. Each element of the matrix indicates whether a particular rail rake is assigned to carry a particular container from a particular order in the next trip. The rail rake scheduling data can be used to generate communications from a rail rake planning server to multiple client devices, each client device associated with a different port station.

Abstract: Systems and methods for utilizing microphone array information for acoustic modeling are disclosed. Audio data may be received from a device having a microphone array configuration. Microphone configuration data may also be received that indicates the configuration of the microphone array. The microphone configuration data may be utilized as an input vector to an acoustic model, along with the audio data, to generate phoneme data. Additionally, the microphone configuration data may be utilized to train and/or generate acoustic models, select an acoustic model to perform speech recognition with, and/or to improve trigger sound detection.

Abstract: This disclosure describes how to identify objects in an augmented reality environment. More specifically, the various systems and methods described herein describe how an augmented reality device can recognize objects within a real world environment, determine where the object is located, and also identify the various surfaces of the object in real time or substantially real time.

Abstract: A method is provided. The method includes determining an open circuit voltage of a battery of a vehicle. The method also includes determining a voltage of a current provided to the battery of the vehicle. The method further includes determining a impedance indicator based on the voltage, the open circuit voltage, and the current provided to the battery of the vehicle. The method further includes determining a health of the battery based on the impedance indicator.

Abstract: Persistent storage contains an original document and a plurality of summaries of the original document produced by summarization models. One or more processors: provide, to an entity extractor, the original document; receive, from the entity extractor, a list of entities within the original document; provide, to a query generator, the original document and the list of entities; receive, from the query generator, a set of queries answerable by the original document; provide, to a query answerer, the set of queries, the original document, and the plurality of summaries; receive, from the query answerer and for the set of queries, a set of document answers corresponding to the original document and sets of summary answers corresponding to the plurality of summaries; provide, to an answer matcher, the set of document answers and the sets of summary answers; and receive, from the answer matcher, scores for the plurality of summaries.

Abstract: This disclosure relates to a fully software-defined, fully virtualized, and customizable mobile communication platform deployed on public cloud infrastructure. Such mobile networks allows for end to end control of automatic and programmatic deployment and configuration of the mobile network components. The implementations below effectively enables instant creation and deployment of a true private global end-to-end Software Defined Network (SDN) for 3G, 4G, LTE, and 5G mobile communication from the ground up. Users will effectively act their own mobile carrier, allowing them to customize the features available to them via a programmatic interface.

Abstract: A wireless user device wirelessly receives an indication of selected resource blocks in a frequency channel that are selected for radio signal measurement and unselected resource blocks in the frequency channel that are unselected for the radio signal measurement. The wireless user device wirelessly measures a radio signal metric for the selected resource blocks in the radio channel and does not measure the radio signal metric for the unselected resource blocks in the radio channel. The wireless user device wirelessly transfers the radio signal metric for the selected resource blocks in the radio channel. The wireless user device wirelessly receives a schedule for the selected resource blocks in the radio channel. The wireless user device wirelessly receives data over the selected resource blocks in the radio channel based on the schedule.

Abstract: An OCR filter described herein filters non-textual files in scanned customer data from optical character recognition (OCR) and pattern analysis of text generated thereof for sensitive customer data. The OCR filter is trained on files labelled using feature values for features generated from OCR applied to the corresponding files. Moreover, the OCR filter stores internal representations of the files during training to avoid leaking potential sensitive customer data contained therein. Once trained, performance of the OCR filter in filtering files comprising image data without text is evaluated according to false positive rates and false negative rates by comparing classifications of the OCR filter to classifications according to feature values for features generated from OCR. Evaluation of the OCR filter ensures continued model performance and informs model updates.

Abstract: A computing device is provided, including a logic subsystem with one or more processors, and memory storing instructions executable by the logic subsystem. These instructions are executed to obtain one or more source images, segment the one or more source images to generate a plurality of segments, determine a priority order for the plurality of segments, and transmit the plurality of segments to a remote computing device in the priority order. The plurality of segments are spatial components generated by spatial decomposition of the one or more source images and/or frequency components that are generated by frequency decomposition of the one or more source images. A remote computing device may receive these components in priority order, and perform certain algorithms on individual components without waiting for the entire image to upload.

Abstract: This disclosure provides a machine learning technique to predict a protein characteristic. A first training set is created that includes, for multiple proteins, a target feature, protein sequences, and other information about the proteins. A first machine learning model is trained and then used to identify which of the features are relevant as determined by feature importance or causal relationships to the target feature. A second training set is created with only the relevant features. Embeddings generated from the protein sequences are also added to the second training set. The second training set is used to train a second machine learning model. The first and second machine learning models may be any type of regressors. Once trained, the second machine learning model is used to predict a value for the target feature for an uncharacterized protein. The model of this disclosure provides 91% accuracy in predicting an ideal digestibility score.

Abstract: A technique for executing commands for an accelerated processing device is provided. The technique includes obtaining an iteration number and predication data from metadata for an iterative indirect command buffer; for each iteration indicated by the iteration number, performing commands of the iterative indirect command buffer as specified by the predication data; and ending processing of the iterative indirect command buffer in response to processing a number of iterations equal to the iteration number.

Abstract: The disclosure relates to sidechain functionalized organosiloxane compounds comprising polyalkyleneoxide (POA) and/or polyalkyleneoxide coupled zwitterionic moieties with various other modular side chains including reactive and or non-reactive groups. The present disclosure further also pertains to ice-phobic polymer formulations capable of curing on a substrate to form a surface that is ice-phobic, resistant to ice formation, and/or resistant to ice adhesion. The disclosed ice-phobic polymer formulations comprise one or more disclosed sidechain functionalized organosiloxane compound, one or more binder resin, and/or one or more lubricating liquid. The present disclosure further relates to articles comprising the disclosed ice-phobic polymer compositions, thereby providing articles having ice-phobic properties. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: The segment analysis system analyzes survey data to determine the influence each custom question/response combination (segment) has on a given aggregate scored survey metric for a given date/date range. The system removes from consideration all surveys that do not include a scored survey metric and date that matche the aggregate scored survey metric and given date/date range. The system further removes from consideration all surveys not pertaining received user-defined filtering. Once the system has eliminated all extraneous surveys from consideration, the system segments each question/response combinations across the pool of surveys to generate an influence score for each question/response combination. The system identifies which segment has the greatest positive and negative influence on the aggregate scored survey metric for the given date/date range. The system generates reports for the segment analysis and stores all segment analyses for further comparative analysis.

Abstract: Data from data sources may be processed at an edge device. The edge device may generate a local processing result, filter the data, and/or prioritize the data. Accordingly, data is transmitted from the edge device to the data platform, where it may be processed further. For example, a local processing result may be processed at the data platform, such that processing is performed without all of the data source data. In examples, at least a part of such data may remain at an edge device. The edge device may maintain a manifest of data stored by the edge device. The data platform may generate an aggregated manifest using manifests from associated edge devices, such that it may be determined where data is stored. As a result, the data platform may redirect requests to an associated edge device when it is determined that requested data is remote from the data platform.