Abstract: Apparatus and methods for performing well construction control. An example apparatus may be or include a control system operable to control a well construction system for performing well construction operations at an oil/gas wellsite, wherein the well construction system includes multiple pieces of equipment. The control system may have a processor and memory storing a computer program code, a touchscreen operable via finger contact with the touchscreen by a human wellsite operator to enter control commands to control automated operation of one or more pieces of equipment, and a video output device operable to display information indicative of operational status of the well construction system.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computer program products for performing functionality requiring network connectivity in an interactive electronic technical manual system (IETM) configured to provide electronic and credentialed access to technical documentation for an item. In one embodiment, a method is provided comprising: receiving input comprising informational data; and responsive to receiving the data: generating a graphical security code; receiving input indicating a scanning of the code, wherein the scanning of the code (1) is performed by a user using a remote device connected to a network and (2) causes access to scanning functionality provided by an application installed on the device; and responsive to receiving the input: generating a graphical form code comprising the data; and causing display of a third window comprising the code, wherein the code can be scanned using the application to send the data to a third party over the network.

Abstract: The present disclosure describes identifying a type of mobile device, determining a location of a near-field communication (NFC) device (e.g., NFC reader) within a mobile device (e.g., a mobile phone) based on its type, creating a user interface displayed on the mobile device with a visual indication of a tap zone for the NFC device based on its location within the mobile device, and then displaying the user interface on a display screen.

Abstract: Methods, systems, and apparatus, for defining and monitoring an event for a physical entity and the performance of an action in response to the occurrence of the event. A method includes receiving data indicating an event for a physical entity, the event specified in part by a physical environment feature for which the occurrence of the event is to be monitored by the data processing apparatus; receiving data indicating an action associated with the event and to be taken in response to the occurrence of the event; monitoring for the occurrence of the event for the physical entity; and in response to the occurrence of the event, causing the action associated with the event to be performed.

Abstract: An embodiment includes identifying, from a training dataset for training a model, a first unlabeled datapoint to present for labelling according to a first query strategy. The embodiment also includes issuing a query requesting a label for the first unlabeled datapoint. The embodiment also includes receiving a labeled datapoint in response to the query, the labeled datapoint comprising the first unlabeled datapoint as labeled by an oracle. The embodiment also includes generating a causal network based on labeled datapoints from the training dataset. The embodiment also includes receiving an instruction to modify the causal network. The embodiment also includes replacing the first query strategy with a second query strategy based on the instruction to modify the causal network. The embodiment also includes identifying, from the training dataset, a second unlabeled datapoint to present for labelling according to the second query strategy.

Abstract: Systems and methods are provided for dynamically adjusting a website of an entity using information that has been received, stored, gathered, and/or otherwise obtained about what people want to find on the entity's website. A website may be dynamically adjusted using trending information in response to determining that the usage of the monitored data source is greater than the baseline usage distribution or in response to determining that the usage of the monitored data source is not greater than the baseline usage distribution receiving NLP inputs of the user from the IVA and adjusting dynamic web content displayed on the website based on the NLP inputs.

Abstract: Aspects of the present invention relate to computer processes adapted to identify influencers and other users interested in certain topics and uses thereof.

Abstract: An electronic device may receive, at a first system routine from a client application, a provisioning request indicating that the application includes code for evaluating a machine learning model, wherein the first system routine executes in user space of memory on the device. The device may provision the code for execution on one or more of the circuit engines. The device may receive, at a second system routine from the application, an inference request for evaluating the machine learning model containing input data, wherein the second system routine executes in kernel space of memory on the device. The device may receive, at the second system routine, information about the circuit engines. The device may assign the inference request to one or more of the circuit engines where the request is evaluated. The device may provide a result of the inference request to the application.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computer program products for transferring a performance of a procedure found in technical documentation for an item via an interactive electronic technical manual system (IETM) configured to provide electronic and credentialed access to the technical documentation. In one embodiment, a method is provided comprising: providing the steps of the procedure in an order in which the steps are to be carried out; and while a user is participating in the performance of the procedure: causing a particular step that is being carried out to be highlighted; receiving input of a selection of a transfer mechanism and in response: causing an indication to be displayed between the particular step and a next step to be carried out identifying where the performance has been suspended; providing a transfer window displaying transfer information; and recording the transfer information and an identifier for the indication.

Abstract: Methods, systems, and computer program products for factchecking artificial intelligence models using blockchain are provided herein. A computer-implemented method includes obtaining at least one artificial intelligence model and at least one set of data related to the at least one artificial intelligence model; determining a set of characteristics based at least in part on the at least one artificial intelligence model and the at least one set of data; selecting one of a plurality of networks based at least in part on a target deployment of the at least one artificial intelligence model to verify the set of characteristics; generating a report based at least in part on verifying the set of characteristics using the selected network, wherein the report establishes a threshold level of trust for the at least one artificial intelligence model; and storing the report on a blockchain.

Abstract: An method for a computing device comprises: listing, in a first region, candidate items indicating events that are detectable through selected cameras; displaying, in a first sub-region of a second region, a first selected item indicating an event of a first candidate item from among the candidate items in response to a second user input for dragging the first candidate item and dropping same into the second region; and displaying, in a second sub-region, a second selected item indicating an event of a second candidate item from among the candidate items in response to a third user input for dragging the second candidate item and dropping same into the second-sub region. The displaying the second selected item in the second sub-region comprises a step of providing a graphic interface for grouping the first and second selected items in the second region.

Abstract: Aspects of the present invention relate to computer processes adapted to identify influencers and other users interested in certain topics and uses thereof.

Abstract: Aspects of the present invention relate to computer processes adapted to identify influencers and other users interested in certain topics and uses thereof.

Abstract: One example method includes accessing a dataset, selecting a list of attributes of the dataset, each of the attributes being selected based on a determination that the attribute is affecting growth of the dataset and affecting an amount of data storage space consumed by the dataset, assigning a SHAP score to each attribute, using the SHAP scores to assign respective weights to each attribute, deriving drift and shock information for the dataset, and based on the drift and shock information, calculating a risk score that a storage capacity of an asset where the dataset is stored will be exhausted within a particular time interval.

Abstract: Aspects of the present invention relate to computer processes adapted to identify influencers and other users interested in certain topics and uses thereof.

Abstract: Disclosed are techniques for using machine learning models to more reliably predict likelihoods of application failure. A model is trained to identify and display events that may cause high severity application failures. Logistic regression may be used to fit the model such that application features are mapped to a high severity event flag. Significant features of applications that relate to the high severity flag may be selected using stepwise regression. The identified applications may be displayed on a graphical user interface for review and reprioritization. Information may be ranked and displayed according to multiple different ranking criteria, such as one ranking generated by a first model, and another determined by one or more users. The multiple ranking criteria may be used to inform steps taken, and/or to retrain or tune the parameters of the model for subsequent predictions or classifications.

Abstract: A device and method for classifying a category of data are provided. The device includes: a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions stored in the memory to cause the processor to: identify a classification system of a category of data comprising a classification criterion of the category of the data and a plurality of keywords; obtain data comprising at least one sentence; and determine at least one category with respect to the at least one sentence of the data based on the classification system of the category of the data using a neural network that performs classification by unsupervised learning.

Abstract: The technology disclosed provides a quasi-recurrent neural network (QRNN) encoder-decoder model that alternates convolutional layers, which apply in parallel across timesteps, and minimalist recurrent pooling layers that apply in parallel across feature dimensions.

Abstract: Techniques of facilitating deep learning model rescaling by computing devices. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise: a rescaling component; and a forecasting component. The rescaling component can determine a scaling ratio that maps low mesh resolution predictive data output by a partial differential equation (PDE)-based model for a sub-domain to high-resolution observational or ground-truth data for a domain comprising the sub-domain. The forecasting component can generate high mesh resolution predictive data for the domain with a machine-learning model using input data of the PDE-based model and the scaling ratio.

Abstract: A computer-implemented method, a medical device, and a system for acquiring user-specific customization data, i.e. user-specific language packages, are provided. The computer-implemented method comprises: determining a first set of user-specific customization data stored on the medical device; comparing the first set of user-specific customization data with a second set of user-specific customization data that is required by a user; and upon determining that the second set of user-specific customization data is different from the first set of user-specific customization data, acquiring, from a data storage external to the medical device, the second set of user-specific customization data or a delta between the first set and the second set of user-specific customization data.