Abstract: In some implementations, a physical medium may include a radio frequency (RF) component and an integrated circuit (IC) chip component. The physical medium may be configured to detect, via the RF component, that the physical medium is within a communicative proximity of a first user device or a first medium associated with a first account. The physical medium may communicate, via the RF component, with the first user device or the first medium based on detecting that the physical medium is within the communicative proximity of the first user device or the first medium. The physical medium may configure the IC chip component to indicate that the physical medium is paired with the first account. The physical medium may transmit, via the RF component or the IC chip component and to a terminal, an indication that the physical medium is paired with the first account.

Abstract: An exemplary system, method, and computer-accessible medium can include, for example, establishing a unique rule-identifier in one-to-one correspondence with at least one set of unknown time-variable rules against which data is to be made compliant, obtaining at least one set of data marked compliant against the one or more set of rules, obtaining meta-data from the compliant data, obtaining at least one set of data marked non-compliant against the set of unknown time-variable rules, extracting meta-data from the non-compliant data, joining the set of compliant and non-compliant metadata to generate a set of estimated rules corresponding to the rule-identifier based at least one of (i) the meta-data of the joined set and (ii) machine learning algorithms.

Abstract: Disclosed herein are system, method, and device embodiments for ATM access during a power outage. In an example embodiment, an automated teller machine (ATM) may receive power from a mobile device including a banking application, send the power to a rechargeable battery of the ATM, and enter a reduced power mode, wherein the ATM is powered by the rechargeable battery. Further, the ATM may receive a transaction request including an authentication credential from the banking application, determine an account associated with the authentication credential, determine an authorization result indicating whether to perform the transaction request, and generate recordation information corresponding to the authorization result.

Abstract: Systems and methods are presented for establishing secure transactions among a group of transacting parties through use of multi-party computation including garbled circuits. The system uses a set of distributed garbled circuit servers, each having a garbled circuit module, to collectively and securely perform a transactional function, such that any party only has access to its own input and output. Each garbled circuit module may receive input financial data for a transacting party and financial data for at least one other transacting party, and perform an operation to obtain output financial data. The operation may relate to a function for determining a plurality of financial transactions among the plurality of transacting parties.

Abstract: Exemplary embodiments may provide an approach to converting multidimensional color data for an image encoded in a first color space into an intermediate form that is a single dimensional value. The exemplary embodiments may then decode the intermediate form value to produce an encoding of the color data that is encoded in a second color space that differs from the first color space. In this manner, the data for the image may be efficiently converted from an encoding in the first color space into an encoding in the second color space.

Abstract: A method may include obtaining a document and using a first prediction model to generate text block scores for text blocks in the document, where a first text block of the text blocks is associated with a first text block score of the plurality of text block scores. The method also includes updating, in response to the first text block score for the first text block failing to satisfy a criterion, a modified version of the document with an indicator to set the first text block as a hidden text block in a presentation of the modified version. The method also includes generating a summarization of the first text block based on the words in the first text block and updating the modified version of the document to include the summarization. The method also includes providing the modified version of the document to a user device.

Abstract: Methods and systems for using a generative adversarial network to generate personalized content in real-time as a user accesses original content. The methods and systems perform the generation through the use of an application programming interface (“API”) layer. Using the API layer, the methods and systems may generate alternative content as a user accesses original content (e.g., a website, video, document, etc.). Upon receiving this original content, the API layer access the generative adversarial network to create personalized alternative content.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: Systems and methods mediate permissions for applications on user devices using predictive models. Data communications are monitored on a user device for permission requests and responses. A predictive model is trained with these permission requests and responses until a threshold is met. Then, a default permission response is provided on behalf of the user device in response to a permission request.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: To facilitate improved email and device security, embodiments of systems and methods include intercepting, by a processor associated with an entity, an internet request, where the internet request is produced by a link received in an email at a first computing device. The processor determines that the link is externally bound relative to an entity network. The processor determines an existence of a sandbox environment instance in a set of existing sandbox environment instances. The processor routes the link through the sandbox environment instance. The processor updates the sandbox log in the database based on the sandbox environment instance and the link. The processor causes to display on a screen of the first computing device a user interface for interacting with the link in the sandbox environment instance, and the processor logs activities associated with interacting with the link in a security log.

Abstract: The present disclosure enables signal error correction using a first processor and a memory on a first substrate, where the first processor is operationally connected to a second processor on a second substrate and the memory stores computer code having a machine learning model. The first processor executes computer code to: automatically receive from the second processor, a first output signal intended to be received by a target recipient device. The first processor automatically inputs the first output signal into the machine learning model, where the machine learning model determines that the first output signal includes an error signal that would cause a malfunction in the target recipient device, and output an instruction to cause the first processor to generate a second output signal that corrects the error signal. The first processor automatically generates the second output signal and transmits the second output signal to the target recipient device.

Abstract: Various embodiments are generally directed to provide a semi-local authentication scheme. A server can transmit one or more encryption mechanisms to a user device, which in turn can transmit the encrypted mechanisms to one or more secondary devices associated with the user device, where the user device and the secondary devices share a local connection. The secondary devices can transmit the one or more encrypted mechanism utilizing one or more one or more decryption mechanisms supplied by the server, and then transmit the result of the decryption, e.g. decrypted codes, back to the user device, which in turn can then transmit a final decrypted code or codes to the server. Upon confirming receipt of the decryption from the user device, the server can authorize access (via the user device) to one or more devices, networks, applications, and/or components.

Abstract: A system comprises a network and a message management system. The message management system can apply a predictive model to generate a broadcast event message for transmission over the network to solicit message requests for entry into a bidding process. The bidding process can be associated with an event in the region and a bidding timeframe. The message management system can receive message requests for the event during the bidding timeframe, and select one of the message requests from a selected requestor after the expiration of the bidding timeframe. The message management system can receive an event message from the selected requestor. The message management system can present the event message via the communication service. The event message can be provided at an access point for the Wi-Fi service.

Abstract: A method of triggering an event based on occurrence of a POS transaction is provided in which an event processing server receives from a first user device associated with a first account, a first event triggering request. The request includes identification of a desired event to be triggered and first triggering criteria. The desired event is to be initiated by the event processing server upon occurrence of one or more POS transactions collectively meeting the first triggering criteria. The event processing server receives, from a transaction processing server, notification of an occurrence of a merchant POS transaction associated with the first account. The event processing server determines whether the occurrence of the merchant POS transaction results in the first triggering criteria having been met, and, if so initiates the desired event.

Abstract: Systems and methods for automatically profiling data a user selects to transfer to a paste area are described. Data may be automatically profiled the at the user selected target paste area to determine if sets of data are of the same data type. There may be a clarification for a target paste area or for identifying the data type. Additionally, there may be reformatting the selected data set to match the target data's format. Machine learning may trigger formatting or prompting actions according to one or more predetermined thresholds.

Abstract: A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.

Abstract: Methods and systems disclosed herein describe using machine learning to lock and unlock a device. Machine learning may be trained to recognize one or more features. Once the device has been trained to recognize one or more features, a user may define an unlock condition for the device using the one or more trained features. After defining the unlock condition, the device may be locked by verifying the one or more features that the user defined as the unlock condition using machine learning. When verification is successful, the device may be unlocked and the user allowed to access the device.

Abstract: In some implementations, a device may receive an activation signal transmitted by an activator device. The device may determine that a first signal pattern of the activation signal matches a second signal pattern associated with activating the Bluetooth capability of the device. The device may activate the Bluetooth capability of the device based on determining that the first signal pattern matches the second signal pattern. The device may communicate with a wireless communication device using the Bluetooth capability of the device based on activating the Bluetooth capability of the device.

Abstract: Aspects described herein may relate to systems and methods for automatically adjusting user device settings when a user attends an event or otherwise brings a user device into a context in which an automatic adjustment of settings is appropriate. By providing for automatic adjusting of user device settings, the systems and methods may achieve greater compliance with rules and other policies of airlines, performance venues, schools, and/or other entities associated with events and/or contexts in which user device settings should be adjusted. Aspects described herein may allow for automatic adjustment of user device settings without compromising a user's privacy, security, or control of a user device.