Abstract: An artificial intelligence (AI) system that includes a processor configured to execute modules of the AI system. The modules comprise a feature extractor, an adversarial noise generator, a compressor and a classifier. The feature extractor is trained to process input data to extract features of the input data for classification of the input data. The adversarial noise generator is trained to generate noise data for distribution of features of the input data such that a misclassification rate of corrupted features that include the extracted features corrupted with the generated noise data is greater than a misclassification rate of the extracted features. The compressor is configured to compress the extracted features. The compressed features are closer to the extracted features than to the corrupted features. The classifier is trained to classify the compressed features.

Abstract: Systems and methods for processing a financial transaction are provided. In a method conducted at an issuing server computer associated with a first entity, a transaction request message is transmitted to an acquiring server computer associated with a second entity. The transaction request message is in respect of a push transaction in which funds from the first entity are transferred to the second entity and includes a first set of data elements. In response to transmitting the transaction request message, a transaction response message and a second set of data elements are received. The second set of data elements are associated with the first set of data elements and the financial transaction is processed using information contained in the first set of data elements and the second set of data elements.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for item level data aggregation. A method includes identifying a transaction made with a third party within a set of transactions. A method includes using electronic credentials for a user to login to an account of the user at a third party. A method includes downloading item-level data from a third party that corresponds to an identified transaction in response to logging into a user's account at a third party. Item-level data identifies one or more items within an identified transaction. A method includes displaying a set of transactions to a user. A method includes displaying item-level data for one or more items within an identified transaction to a user in response to receiving input from the user relative to the identified transaction in a displayed set of transactions.

Abstract: The present disclosure provides a system for utilization of an advertisement fraud data to blacklist or whitelist one or more entities. The system includes a first step of collecting the advertisement fraud data associated with online advertisement and commerce fraud. The system includes another step of creating a blacklist of one or more entities from the collected advertisement fraud data. The system includes another step of blocking the one or more entities present in the created blacklist in real-time. The system includes another step of generating a whitelist of one or more entities from the created blacklist of the one or more entities. The system includes yet another step of optimizing the blacklist of the one or more entities in real-time.

Abstract: Methods, systems, and devices for providing in-flight communication sessions. In some examples, a communication session delivery system may provide network access service or other types of content once a passenger has completed a brand interaction. The brand interaction may be any number of options that a brand partner may require in exchange for access to content. The communication session delivery system may choose from a plurality of reward offers and then display the chosen offers to a passenger. The chosen offers may be selected based on profile information of a passenger and characteristics targeted by a brand partner. The passenger may then choose an offer and perform the required brand interaction. Once the brand interaction has been verified, the passenger may receive the reward associated with the offer.

Abstract: Certain aspects of the present disclosure provide techniques for vectorization of transactions including: receiving electronic transaction information of one or more transactions of a user; for each transaction of the one or more transactions: segmenting the electronic transaction information of the transaction into one or more transaction words; generating a second transaction description related to the transaction; and identifying a category of the transaction; generating, based on the corresponding identified categories of the one or more transactions, a set of transaction history data of the user; providing the set of transaction history data of the user as an input to a machine learned model trained to output a set of word embedding vectors; determining, based on an output of the machine learned model comprising a set of word embedding vectors, a set of similar merchants; and providing the set of similar merchants for display to the user.

Abstract: A three-dimensional (3D) metal object manufacturing apparatus is operated to form sloping surfaces having a slope angle of more than 45° from a line that is perpendicular to the structure on which the layer forming the slope surface is formed. The angle corresponds to a step-out distance from the perpendicular line and a maximum individual step-out distance determined from empirically derived data. Multiple passes of an ejection head of the apparatus can be performed within a layer to form a sloped edge and the mass of the sloped structure is distributed within the sloped edge so the edge is formed without defects.

Abstract: The present disclosure generally relates to user interfaces for managing peer-to-peer transfers. In some examples, a device provides user interfaces for initiating and managing transfers. In some examples, a device provides user interfaces corresponding to completed transfers. In some examples, a device provides user interfaces for providing visually distinguishable message object appearances based on message designation. In some examples, a device provides user interfaces for activating accounts for accepting and sending transfers. In some examples, a device provides user interfaces for exchanging accounts for use in a transfer. In some examples, a device provides user interfaces for splitting transfers between two or more accounts. In some examples, a device provides user interfaces for generating and displaying a transfers history list. In some examples, a device provides user interfaces for voice-activation of transfers.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: Disclosed are example methods, systems, and devices for integrating payment API services provided by a service provider computing system with a client application. The client application running on a user device may allow a user to make payments and/or to submit payments for approval and may communicate payment information to a client computing system. If a payment is submitted for approval via the client application, the client computing system may make API calls to the service provider computing system to, for example, submit, view, and/or cancel payments. Payments may be approved by a second user using a second device. The service provider computing system initiates fund transfers for approved payments. Payments may be submitted within the operating environment of the client application without use of an application or website of the service provider.

Abstract: Methods and systems are disclosed for generating recommendations for causes of computer alerts that are automatically detected by a machine learning algorithm are described. For example, the system may receive a first feature vector with an unknown alert status, wherein the first feature vector represents values corresponding to a plurality of computer states in a first computer system. The system may input the first feature vector into an artificial neural network, wherein the artificial neural network is trained to detect a known alert status based on a set of training data comprising labeled feature vectors corresponding to the known alert status, and wherein the artificial neural network is trained to detect conditional expectations the plurality of computer states in an inputted feature vector.

Abstract: Off-policy evaluation of a new “target” policy is performed using historical data gathered based on a previous “logging” policy to estimate the performance of the target policy. An estimator may be used, wherein either a quality-based estimator or a quality-agnostic estimator is used to weight the difference between an observed reward in the historical data and an estimated reward generated by the target policy. A quality-agnostic estimator may be used to evaluate an importance weight according to a threshold. In such examples, when the importance weight exceeds the threshold, the quality-agnostic estimator clips the importance weight at the threshold, thereby providing an fixed upper bound irrespective of the quality of the reward predictor. In other examples, a quality-based estimator is used, in which an upper bound incorporates the quality of the reward predictor in order to modify an importance weight used by the estimator.

Abstract: A computer-implemented method and system for automating electronic content delivery of predictive information to a customer service representative of a company. A first customer data set is entered in the computer system for identifying a customer. Displayed on a first desktop on a representative's computer system is information related to the customer which may include purchased company products and services of the customer based on the first data set. A second data set is entered in the computer system by the representative contingent upon interaction between the representative and the customer. Perform predictive analytics upon at least a portion of the first and second data sets to determine predictive information relevant to the customer. Display on a second desktop on the representative's computer system the predictive information for review by the representative during an interaction with the customer.

Abstract: A cutting insert may include a base member. The base member may include a first surface, a second surface adjacent to the first surface, and a first cutting edge located in at least a part of a first ridge line which the first surface intersects with the second surface. The base member may include a hard phase containing a titanium carbonitride, and a binding phase containing at least one of cobalt and nickel. The hard phase may include a first hard phase observed on a higher angle side, and a second hard phase observed on a lower angle side in a comparison of (422) plane peak in an X-ray diffraction analysis. A compressive residual stress of the second hard phase in the second surface may be less than a compressive residual stress of the second hard phase in the first surface.

Abstract: Various examples are directed to computer-implemented systems and methods for providing a triage tool for investment advising. A method includes displaying, by a processor of a computer, an image on a graphical user interface (GUI) of a device of a user. The image includes information related to financial account management for the user. Input options are provided to the user on the GUI including at least two directional swipe input options to obtain the user's positive or negative response to the image. The processor receives the user's response to the input options, and determines a profile of the user based on the user's response to the input options. The processor provides directed financial investment advice and tailored financial products, based on the profile of the user, to increase applicability and effectiveness of wealth management for the user.