Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A method for selection and configuration of an automated robotic process includes receiving a temporal biometric measurement of a worker performing a task, receiving a spatial-temporal environmental input provided to the worker, identifying a type of reasoning used when performing the task partially based on the temporal biometric measurement of the worker, selecting a component of an AI solution to replicate the type of reasoning, and configuring the component of the AI solution based on the spatial-temporal environmental input. The temporal biometric measurement includes a set of spatial-temporal imaging data of a brain of the worker and identifying the type of reasoning includes identifying a set of spatial-temporal neocortical activity patterns of the worker, identifying an active area of a neocortex of the worker; and selecting the component of the AI solution partially based on the identified active area of the neocortex.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform probabilistic modeling for anonymized data integration and measurement of sparse and weakly-labeled datasets are disclosed. An apparatus includes a training controller to train a neural network to produce a trained neural network to output model parameters of a probability model, a model evaluator to execute the trained neural network on input data specifying a time of day, a media source, and at least one feature different from the time of day and the media source to determine one or more first model parameters of the probability model, and a ratings metric generator to evaluate the probability model based on input census data to determine a ratings metric corresponding to the time of day, the media source, and the at least one feature, the probability model configured with the one or more first model parameters.

Abstract: An information technology platform for personalizing an experience of a visitor at a non-profit venue comprising: a network; a server in communication with the network; a mobile computing device to be carried by a visitor to a non-profit venue, wherein the platform determines personalized information about the visitor and a recommendation engine outputs a suggestion for a personalized experience to the visitor to encourage philanthropic activity related to an ongoing philanthropic campaign; and a machine learning system for learning on a training set of photographic data or video data, the learning to train the machine learning system to predict a sentiment towards the ongoing philanthropic campaign of the visitor based, at least in part, on photographic images or video images that are taken by the visitor, that are shared to the visitor, that are shared by the visitor or that include the visitor as a subject.

Abstract: The present invention relates to a meal service management system and an operating method therefor, the system being capable of providing information on food ingested by a user to whom a meal service is to be provided and customized information related thereto, and managing food leftover in a meal service. According to an embodiment of the present invention, a scanner device is used such that a user to whom a meal service is to be provided and a food tray before and after meals are identified, and thus a meal service amount and a leftovers food amount are acquired, and leftovers food information of each user and useful information associated therewith are provided on the basis of the same, and thus users can easily determine their eating habits, nutritional status and the like and the users can be induced to attempt reducing leftovers food by themselves.

Abstract: A method for seamlessly and automatically granting tailored permission for use and transference of internet data between databases with comprehensive consent is described. The method employs a graph language such as JSON-LD to integrate and employ cryptographically signed Information Sharing Agreements (ISA) between parties. Data is serialized to be easily transferred between databases when appropriate permission is obtained. Granular data exchange under usage control contacts can be automated among any number of parties on the internet. As such, the method provides a means by which users may control not only what may be done with their data, but to what entity or entities the data may be transferred. Advertisements may then be served to the user according to his or her preferences as defined within a web or desktop app, which is then applied to all related ad publishers publishing to the domains visited by the user.

Abstract: Example methods, apparatus, and computer readable storage media are described and disclosed. An example method includes depicting a strategy node in a graphical user interface presented by a computing device. The strategy node represents a trading strategy associated with two or more tradeable objects. The example method includes generating a graphical connector between the strategy node and one of a plurality of contract nodes including at least a first contract node and a second contract node. Each contract node represents a contract associated with one of the tradeable objects. The example method includes repositioning, in response to an input received via the graphical interface, an endpoint of the graphical connector from the first contract node specified by the trading strategy to the second contract node. The example method also includes generating an updated trading strategy based on the trading strategy and the second contract node.

Abstract: A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums for providing P2P lending through mobile wallets. The P2P lending may utilize a central registry or be a fully distributed P2P system. In some examples, the use of a network accessible P2P loan service may simplify the discovery and communication with other mobile wallets throughout the process of obtaining a loan.

Abstract: This disclosure relates to forecasting when and whether an invoice is to be paid and indicating such forecasts to a user. An example system is configured to perform operations including determining, by a classification model, a first confidence as to whether an invoice is to be paid, determining, by a regression model associated with the classification model, a first time associated with a second confidence as to when the invoice is likely to be paid, and indicating, to a user, whether the invoice is to be paid based on the first confidence and the first time when the invoice is likely to be paid based on the second confidence. The regression model may include one or more gradient boosted trees to determine the first time. Different times associated with different confidences can be determined by different gradient boosted trees, with the specific tree corresponding to the associated confidence.

Abstract: A set of transaction handling computing elements comprise a network core that receive and process transaction requests into an append-only immutable chain of data blocks, wherein a data block is a collection of transactions, and wherein an Unspent Transaction Output (UTXO) data structure supporting the immutable chain of data blocks is an output from a finalized transaction. Typically, the UTXO data structure consists essentially of an address and a value. In this approach, at least one UTXO data structure is configured to include information either in addition to or in lieu of the address and value, thereby defining a Transaction Output (TXO). A TXO may have a variety of types, and one type includes an attribute that encodes data. In response to receipt of a request to process a transaction, the set of transaction handling computing elements are executed to process the transaction into a block using at least the information in the TXO.

Abstract: A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

Abstract: An example computing device is programmed to: (a) detect an attempt to secondarily access a user account, the user account being involved in an ongoing primary financial session with a primary device; (b) raise the level of authentication required to secondarily access the user account beyond that which was required to access the account for the primary financial session; (c) when successful authentication at the raised level is achieved, permit secondary access to the user account through a secondary financial session and compare one or more user activities occurring during the secondary financial session to a plurality of fraud profiles; and (d) indicate fraud when comparison of the user activity is consistent with one or more of the plurality of fraud profiles.

Abstract: A server and method for processing a card-not-present transaction whereby a purchaser selects to use one or more friends' card to obtain a reward is disclosed. The server comprises at least a computer processor to: (i) receive, from a merchant server, a payment request including a contact mechanism for the friend(s); (ii) send a selection request to the friend(s) using the contact mechanism; (iii) receive, from the friend(s) a selection response including card number(s) eligible for the reward; (iv) request the issuer server(s) for authentication and blocking the amount; (v) track a cumulative amount dynamically and repeat steps (iii) and (iv) until equal to or greater than the payment amount; (vi) generate a virtual card number for one time use based on the card number(s); and (vii) send a payment response to the merchant server including the virtual card number for the purchaser to complete the transaction.

Abstract: A system and method for generating a notification of a price change for a transaction and facilitating an associated price adjustment based on electronic image capture of a paper receipt. An image capture system captures an electronic image of a paper transaction receipt, which is transmitted to a data extraction processor that extracts transaction receipt data from the captured electronic image. A unique key is generated by an authentication server that is matched to a transaction record to generate a reliability score for the OCRed image and to authorize price matching. If the price monitoring server identifies that the price of a purchased transaction item has changed, the price monitoring server automatically generates a notification to the user indicating the price change and an email to the customer service department of the merchant from which the transaction item was purchased, requesting a price adjustment that is credited back to the payment instrument.

Abstract: A method of determining a Place Visit Lift (PVL) metric by determining a plurality of users using wireless devices that have been exposed to a targeted message associated with the POI within a first pre-determined time period and receiving a plurality of sets of local area communication features of the local area communication modules of the wireless devices. These features are inputted into a Machine Learning Algorithm (MLA) trained using a set of heuristics applied to training sets of local area communication features of training wireless devices. The MLA outputs, based on the set of local area communication features of the local area communication module of the wireless device, a plurality of indications of the conversion rate of the targeted message. The method comprises determining based on the plurality of indications, the at least one of the visitors_site, the bypassers_site, the visitors_non-site, and the bypassers_non-site parameters.

Abstract: A method of determining a conversion rate of a targeted message associated with a point of interest (POI) includes determining a plurality of users using wireless devices that have been exposed to a targeted message associated with the POI within a first pre-determined time period and receiving a plurality of sets of local area communication features of the local area communication modules of the wireless devices. These features are inputted into a Machine Learning Algorithm (MLA) trained using a set of heuristics applied to training sets of local area communication features of training wireless devices. The MLA outputs, based on the set of local area communication features of the local area communication module of the wireless device, a plurality of indications of the conversion rate of the targeted message. A server for executing the method is also provided.

Abstract: A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

Abstract: The present disclosure generally relates to managing the use of transfer accounts using an electronic device. In accordance with some embodiments, user interfaces for inputting information about a secure credential to an electronic device are described. In accordance with some embodiments, user interfaces for managing the use of a credential provisioned on an electronic device that operates on stored power are described. In accordance with some embodiments, user interfaces for managing the use of a transfer account associated with different credentials on an electronic device are described.

Abstract: An automated, dynamic digital financial management tool is described herein. The financial management tool enables a user to access all forms of payments, debt and transactions to be deducted automatically depending on which form of payment is chosen. The financial management tool documents every item/service purchased. The documentation enables a company/manufacturer/store to provide marketing and recall information to the user. The financial management tool is able to include any and/or all financial aspects of a user's life. The financial management tool is able to be implemented using a universal card. The financial management tool is able to include a pay station to receive payments. The financial management tool is able to include automated services.