Abstract: A system, for controlling well site operations, comprising a machine learning engine, a predictive engine, a node system stack, and a blockchain. The learning engine includes a machine learning algorithm, an algorithmically generated earth model, and control variables. The learning algorithm generates a trained data model using the algorithmically generated earth model. The predictive engine includes an Artificial Intelligence (AI) algorithm. The AI algorithm generates a trained AI algorithm using the trained data model and earth model variables using the trained AI algorithm. The system stack is communicable coupled to the predictive engine, the learning engine, the blockchain, sensors, and a machine controller. The blockchain having a genesis block and a plurality of subsequent blocks. Each subsequent block comprising a well site entry and a hash of a previous entry. The well site entry comprises transacted operation control variables.

Abstract: A convolution block array for implementing neural network application, a method using the same, and a convolution block circuit are provided. The convolution block array includes a plurality of convolution block circuits configured to process a convolution operation of the neural network application, wherein each of the convolution block circuits comprises: a plurality of multiplier circuits configured to perform the convolution operation; and at least one adder circuit connected to the plurality of multiplier circuits and configured to perform an adding operation of results of the convolution operation and generate an output signal; where at least one of the convolution block circuits is configured to perform a biasing operation of the neural network application.

Abstract: A method for identification and distribution of a personalized image. As disclosed, the method involves a processing server receiving an image request from a web server. The image request includes at least a device identifier and an originating address. The processing server electronically transmits a data request to a computing device associated with the device identifier, and receives a data file from the computing device. The data file includes one or more data values associated with an electronic wallet. The processing server executes a query to identify an image file based on the data values included in the received data file. Additionally, the processing server electronically transmits the identified image file to the web server in response to the received image request.

Abstract: Methods and apparatus for compressing data streams. In an embodiment, a method includes calculating a decomposition of matrix data to generate eigenvectors and associated eigenvalues, determining clusters of the eigenvectors based on weighting the eigenvalues, calculating an eigenvector centroid for each cluster so that a dictionary of centroids is generated, and tagging the eigenvectors with tags, respectively, that identify an associated eigenvector centroid for each eigenvector.

Abstract: Methods and apparatus for compressing data streams. In an embodiment, a method includes calculating a decomposition of matrix data to generate eigenvectors and associated eigenvalues, determining clusters of the eigenvectors based on weighting the eigenvalues, calculating an eigenvector centroid for each cluster so that a dictionary of centroids is generated, and tagging the eigenvectors with tags, respectively, that identify an associated eigenvector centroid for each eigenvector.

Abstract: An example hub and registry module can be programmed to determine if a plurality of micro front-ends is conformant with one or more experience rules, register one or more of the plurality of micro front-ends in response to determining that the one or more micro front-ends are conformant with the one or more experience rules, compose one or more micro front-ends into an experience for a user, and monitor performance of the one or more micro front-ends within the experience.

Abstract: Enhanced methods for improving the performance of classifiers are described. A ground-truth labeled dataset is accessed. A classifier predicts a predicted label for datapoints of the dataset. A confusion matrix for the dataset and classifier is generated. A credibility interval is determined for a performance metric for each label. A first labels with a sufficiently large credibility interval is identified. A second label is identified, where the classifier is likely to confuse, in its predictions, the first label with the second label. The identification of the second label is based on instances of incorrect label predictions of the classifier for the first and/or the second labels. The classifier is updated based on a new third label that includes an aggregation of the first label and the second label. The updated classifier model predicts the third label for any datapoint that the classifier previously predicted the first or second labels.

Abstract: A machine learning model can be run with a first input data to obtain a first output from the machine learning model. A first rule representing an interpretable explanation for the machine learning model predicting the first output can be obtained. A modified rule can be received, which changes the first rule. A transformation function can be generated, which transforms a given input data for inputting to the machine learning model to a new input data based on decision boundaries of the machine learning model and the modified rule. The first rule, the first output, the modified rule, and the transformation function can be stored in a first table.

Abstract: Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video.

Abstract: Method and media for an interface for a context-aware conversational assistant. A hybrid system is disclosed that can take advantage of both a human agent's facility at interacting with the user and an automated system's speed and accuracy at information retrieval to quickly and accurately provide the user with the needed information. In response to a user query, the conversational assistant determines one or more responses that may be relevant and presents them in the chat window to the agent. If the conversational assistant correctly interpreted the question, the agent can quickly respond to the query using the pregenerated response. Otherwise, the agent can edit a pregenerated response or compose a new response from scratch.

Abstract: Distributing dataset requests across service tiers including generating, by a workbook client, a dataset request for a dataset to populate a workbook for presentation on a client computing system, wherein data for the dataset is stored on a cloud-based data warehouse; determining, by the workbook client, a set of service tiers capable of servicing at least a portion of the dataset request, wherein the set of service tiers comprises the cloud-based data warehouse; selecting, by the workbook client from the set of service tiers, a combination of service tiers to service the dataset request based on at least one selection policy; and issuing, by the workbook client, the dataset request to the selected combination of service tiers.

Abstract: An apparatus and a method of implementing activation logic for a neural network are described. The apparatus comprises an input unit, a first address translated look-up table, an intermediate storage unit, a second address translated look-up table, and an output unit. The first address translated look-up table includes (2{circumflex over (?)}n1) first entries that map to (2{circumflex over (?)}n1) addresses based on the n bits of the input unit. Each the (2{circumflex over (?)}n1) first entries includes (n1?1) first preset values. The intermediate storage unit includes (n?1) bits. The second address translated look-up table includes (2{circumflex over (?)}(n?1)) second entries that map to the (2{circumflex over (?)}(n?1)) bit addresses based on of the (n?1) bits of the intermediate storage unit. Each the (2{circumflex over (?)}(n?1)) second entries includes (n2+1) second preset values.

Abstract: A method, an apparatus, a device and a storage medium for embedding user app interest are provided. The method includes: acquiring a user existing app installation list and a user app installation list within a predetermined time window, where the app includes app ID information and app category information; inputting the existing app installation list and the app installation list within the predetermined time window into a pre-trained user app interest embedding model to obtain a user app interest embedding vector. By combining the user existing app installation list information and the user recent app installation list information, the user app interest embedding vector may simultaneously reflect the user long-term interest and the user short-term interest.

Abstract: Systems and methods for populating the fields of an electronic form are disclosed. A method includes automatically initiating a hands-free mode of operation based on a first input from a user; receiving a second input corresponding to a value of a current field of a plurality of fields of an electronic form; converting, using a plug-in, the second input into the value for the current field, where the value is identified by comparing syllables of the second input to known syllables associated with a historical input of the user; displaying the value in the current field; determining, using the plug-in, that the value in the current field matches an expected value for the current field; and prompting the user to submit the electronic form in response to determining that the electronic form is complete based on a determination that a predefined subset of the plurality of fields are populated.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating contextual hubs for organizing and presenting web-accessible content from third-party sources. In particular, the systems described herein can organize and manage within a contextual hub. For instance, the disclosed systems may perform actions on tabs based on analyzing usage signals associated with the tabs. Furthermore, the disclosed systems can organize contextually related content within contextual hubs. The disclosed systems may also facilitate collaboration between users within a contextual hub by synchronizing interactions with content within a contextual hub.

Abstract: A unique identifier of an expression which refers to a cell of a data sheet is stored in a repository. In an application comprising an operation based on evaluating the expression, the expression is indicated by the unique identifier. In response to detecting a write directed to the cell, a modified version of contents of the cell is stored without re-evaluating the expression. The expression is re-evaluated in response to determining that the operation of the application is to be implemented.

Abstract: A cloud-centric platform is used for generating virtual three-dimensional (3D) content, that allows users to collaborate online and that can be connected to different software tools (applications). Using the platform, virtual environments (e.g., scenes, worlds, universes) can be created, accessed, and interacted with simultaneously by multiple collaborative content creators using varying content creation or development applications.

Abstract: A health tracking system and method of operation is disclosed herein. The method of operating the health tracking system comprises: receiving a first data record comprising at least a first descriptive string regarding a consumable item, the first descriptive string having at least one word thereof incorrectly spelled; generating a vector using the first descriptive string using a machine learning model; identifying a second descriptive string which corresponds to the consumable item and which has a correct spelling of the at least one incorrectly spelled word by applying the machine learning model to the generated vector; calculating a confidence factor regarding the identified second descriptive string using the machine learning model; and when it is determined that the confidence factor exceeds a predetermined threshold, (i) modifying the first data record by replacing the first descriptive string with the second descriptive string, and (ii) storing the modified first data record in the database.

Abstract: A method including receiving an indication for a digital alert associated with a specific action for a user account of a user; generating and outputting a first message comprising a web page link; receiving an indication of a request to access the web page link by the user device; responsive to receiving the indication of the request to access the web page link, accessing, based on the indication for a digital alert, user-specific information associated with the user account from the at least one third-party device; and generating, based on the indication for a digital alert and the user-specific information, a customized user interaction-specific web page comprising the user-specific information associated with the user account and at least one user input field.

Abstract: A computing device of a system is deployed within a communication network for processing environmental, social, and governance (ESG) reports. The computing device is configured to obtain an ESG report of an entity, receive a question in natural language regarding information contained in or inferable from the ESG report, convert the ESG report into page-wise pieces of text, determine an answer to the question based at least upon the page-wise pieces of text of the ESG report, determine a location of a snippet related to the answer in the page-wise pieces of text of the ESG report, generate a bounding box through which the snippet is highlighted in a page containing the snippet, crop the page based on the bounding box, and display a cropped image of the page.