Abstract: A system for providing resource material to a customer service representative [CSR], including a database storing a plurality of resources associated with one or more customer service contexts, a memory storing instructions, and one or more processors configured to execute the instructions to analyze an on-going communication including a customer service request received from a customer; determine a context of the request based on the analysis and historical data associated with the customer determined to be associated with the communication, automatically identify, based on the context of the request, a resource in the database associated with the determined context; and display, via a user interface in real-time during the communication, the resource associated with the customer service request.

Abstract: A key broker monitors network traffic metadata and determines which decryption keys are required at one or more packet brokers in order to decrypt relevant traffic required by various network monitoring devices. The key broker retrieves the required keys from a secure keystore distributes them, as needed, to the network packet brokers, and dynamically updates the decryption keys stored in the network packet brokers in response to changes in network traffic.

Abstract: Systems and methods for classifying data are disclosed. For example, a system may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving training data comprising a class. The operations may include training a data classification model using the training data to generate a trained data classification model. The operations may include receiving additional data comprising labeled samples of an additional class not contained in the training data. The operations may include creating a synthetic data generator. The operations may include training the synthetic data generator to generate synthetic data corresponding to the additional class. The operations may include generating a synthetic classified dataset comprising the additional class. The operations may include retraining the trained data classification model using the synthetic classified dataset.

Abstract: An aerosol-generating system includes an aerosol-generating device and at least two consumables. Each consumable includes an aerosol-forming substrate. The aerosol-generating device further includes a device housing comprising at least two receiving chambers, wherein each consumable is accommodated in a separate receiving chamber of the at least two receiving chambers. The aerosol-generating device further includes at least two mouthpieces, wherein each mouthpiece of the at least two mouthpieces is aligned with a separate consumable of the at least two consumables and wherein the aerosol-generating device is configured to isolate airflows through separate, respective mouthpieces of the at least two mouthpieces.

Abstract: A device may receive, from a camera device, an image that includes a person. The device may provide the image to a user recognition device and receive, from the user recognition device, a user identifier based on the person included in the image. In addition, the device may obtain user data based on the user identifier, the user data relating to prior activity relating to the person associated with the user identifier. The device may identify a user device based on a first physical location associated with the camera device and a second physical location associated with the user device, and provide the user data to the user device.

Abstract: Methods and systems disclosed herein collect user data in real-time and organize them (e.g., using a collaborative filtering matrix) into groups (e.g., cluster assignments). The system then determines statistical distributions of observed real-time intents (e.g., based on actual selections made by users) for each group. The system then merges this distribution with existing model predictions (e.g., a model trained on historical training data) to balance between historical and dynamically updated information.

Abstract: The present disclosure is directed to systems and methods for predicting an outcome of a user journey. For example, a method may include: identifying a plurality of patterns based on a plurality of user interactions of a plurality of users with a plurality of touchpoints; applying a parameter to filter the plurality of patterns; evaluating the filtered plurality of patterns based an evaluation criterion; and applying a feedback loop based on the evaluation of the filtered patterns to modify the parameter or adjust a user experience.

Abstract: The antenna of an RFID device is formed by applying an adhesive to a substrate. A conductor is secured to the substrate using the adhesive and then a gap is defined in the conductor in the shape of an antenna so as to isolate an inner region of the conductor from an outer region of the conductor. Heat is applied to the outer region of the conductor so as to cause at least a portion of the adhesive positioned between the outer region of the conductor and the substrate to undergo a phase change or be activated without causing at least a portion of the adhesive positioned between the inner region of the conductor and the substrate to undergo a phase change or be activated. The outer region of the conductor is then dissociated from the substrate, with the inner region of the conductor remaining secured to the substrate by the adhesive as an antenna.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment

Abstract: A hydraulic fracturing system includes a plurality of pumps positioned at a wellsite and configured to pressurize a fracturing fluid, a distribution system fluidly coupled to receive and consolidate fracturing fluid from the plurality of pumps for injection into a wellhead. The hydraulic fracturing system further includes a control system, which includes a plurality of sensing devices configured to measure one or more parameters of the plurality of pumps and the distribution system, one or more processing device configured to receive and analyze the one or more parameters measured by the plurality of sensing devices and generate control instructions based at least in part on the one or more parameters, and one or more control device configured 110 to receive the control instructions and control one or more aspects of the plurality of pumps or the distribution system based on the control instructions.

Abstract: In a method for provisioning account information of a payment card, user datum encryption information is transmitted to a transaction data processing system. A user datum encrypted using the user datum encryption information and a request to share account provisioning information is received from the transaction data processing system when the payment card is present by a user at the transaction data processing system. A user account associated with the payment card is determined and the user of the payment card is authenticated. A request for confirmation that the account provisioning information should be shared is sent to a user device associated with the user account and a confirmation response is received from the user device that includes permission to share account provisioning information. Account provisioning information is then transmitted to the transaction data processing system.

Abstract: The present disclosure provides the identification of genes involved in sucker growth in tobacco. Also provided are promoters that are preferentially active in tobacco axillary buds. Also provided are modified tobacco plants comprising reduced or no sucker growth. Also provided are methods and compositions for producing modified tobacco plants comprising reduced or no sucker growth.

Abstract: Aspects described herein may use a machine learning model to identify transactions likely to be remembered by a user and that may be used to generate challenge questions to authenticate the user. An individual may request an action related to a financial account. In response to the request, the machine learning model may determine a likelihood an authorized user of the financial account will remember one or more recent transactions. The likelihood of each candidate transaction may be compared to a predetermined threshold to determine a subset of recent transactions. Information relating to the subset of recent transactions may be used to generate one or more challenge questions to pose to the user. The user's responses to the challenge questions may be used to evaluate whether the user is the authorized user of the financial account or is a fraudster or imposter.

Abstract: Disclosed embodiments include methods, systems, and computer-readable media configured to, for example, provide payment tokens for conducting transactions, as well as reprovisioning tokens, on wearable devices without Bluetooth® or other network connectivity beyond NFC radio.

Abstract: A system that can eliminate engine combustion emissions in addition to raw and fugitive methane emissions associated with a gas compressor package. The system may comprise an air system for starting and instrumentation air supply; electrically operated engine pre/post-lube pump, compressor pre-lube pump, and cooler louver actuators; compressor distance piece and pressure packing recovery system; blow-down recovery system; engine crankcase vent recovery system; a methane leak detection system; and an overall remote monitoring system.

Abstract: Systems and methods for enhanced OTP messaging, comprising: receiving a request from an application executing on a computing device of a user; generating the supplemental information based on the request; segmenting the supplemental information into a first part of the supplemental information and a second part of the supplemental information; transmitting the first part of the supplemental information to the computing device of the user via a first communication channel to another app executing on the computing device of the user; instructing the another app to allow the user to utilize one or more graphical user interface (GUI) elements of a GUI of the another app to transfer the first part of the supplemental information to the app; and transmitting the second part of the supplemental information to the computing device of the user via a second communication channel so as to provide the supplemental information to the app.

Abstract: In some implementations, a server device may receive, from a client device, a login credential associated with a user and a request to access a resource. The server device may identify a confidant associated with the user and a confidant device associated with the confidant, wherein the confidant device is different from a user device associated with the user. The server device may transmit, to the confidant device, a request to verify an identity of the user. The server device may determine whether a verification of the identity of the user is received from the confidant device. The server device may grant or deny access to the resource based on determining whether the verification of the identity of the user is received from the confidant device.

Abstract: Methods and systems are discussed for location-based guidance based on interior conditions at a plurality of locations. For example, the system may receive, from a user device of a user, a user request to access a first service. The system may retrieve a plurality of locations that provide the first service. The system may retrieve an average density for respective first queuing areas at each of the plurality of locations at a first time interval. The system may, in response to determining a subset of the plurality of locations where the average density for the respective first queuing areas at the first time interval exceed the threshold average density, generate for display, on the user device, a recommendation for a location from the subset at which to access the first service at the first time interval.

Abstract: Methods and systems are disclosed herein for authenticating a user. A security device may use an object associated with a user and a device of the user to authenticate the user, for example, if the user has forgotten a password. A user may insert the object (e.g., a card, or other object) into the security device and may select an option to authenticate via a device that is trusted by both the security device and the user, rather than authenticating by entering a password at the security device.