Abstract: Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a call to an API node. The operations may include determining that the call is associated with the first version of the API. The operations may include determining that the API node is associated with a second version of the API. The operations may include translating the call into a translated call using a translation model, the translated call being associated with the second version of the API.

Abstract: Systems and methods for searching datasets and classifying datasets are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a test dataset from a client device and generating a test data model output using a data model, based on the test dataset. The operations may include processing test data model output by implementing an encoding method, a factorizing method, and/or a vectorizing method. The operations may include retrieving a reference data model output from a dataset index, based on a reference dataset. The operations may include generating a similarity metric based on the reference data model output and the test data model output. The operations may include classifying the test dataset based on the similarity metric and transmitting, to the client device, information comprising the classification.

Abstract: Various embodiments are generally directed to techniques to reduce inputs of a machine learning model (MLM) and increase path efficiency as a result. A method for reducing an MLM includes: receiving a machine learning (ML) dataset, partitioning the ML dataset into a first dataset, a second dataset, a third dataset, and a fourth dataset, training, validating, and testing the MLM using one or more of the first dataset, the second dataset, and the third dataset, after testing the MLM, automatically ranking an importance associated with each input of the MLM using the fourth dataset, and reducing a plurality of inputs of the MLM based on the automatic ranking.

Abstract: A device and a backend server are described. The device can determine whether it has entered an indoor location, and once in the indoor location, the device can communicate with the server the name of the location. The device can determine the current location of the user in the indoor location, and based on the floorplan and the indoor location of an item, the device can direct the user to the item. The floorplan can be constructed based on data accumulated from various visitors of the indoor location.

Abstract: Techniques and apparatus for providing peer-based management of user accounts are described. In one embodiment, for example, an apparatus may include at least one memory and logic coupled to the at least one memory. The logic may be configured to receive a request from at least one first user account to unlock a second user account locked responsive to a fraud event, determine a safe authentication value for the fraud event, and unlock the second user account responsive to the at least one first user account being a safe authentication account and the safe authentication value being over a safe authentication threshold value. Other embodiments are described.

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 relate to the secure storage of security questions through an immutable log, such as a blockchain. The security questions may be stored in a centralized location, accessible from an application or browser tab running on the user's device. When a security question is required, such as to perform a password reset on a website, the website may interact with the application or browser tab, which retrieves the question(s) from the blockchain. The user may enter their answers to the question(s), which may be hashed by the application or tab. The hashed answers may be entered into the original requesting website, which may verify with the blockchain that the correct answers have been provided. Thus, the requesting website sees neither the questions nor the answers. Additional security features may include logging requests for questions, so that a user can determine if a security question may have been compromised.

Abstract: An error notification system includes a plurality of data production systems in communication with a monitoring server. Each data production system has a data processor configured to receive input data from a first set of data production systems, process the input data to produce output data, and make the output data accessible to a second set of data production systems. The monitoring server is configured to monitor data transmissions between the data production systems and to identify, for each data transmission, originating and receiving systems. The monitoring server is further configured to map data flow from each originating source system to identify all downstream data production systems. Upon identification of a data error in the originating source system, the monitoring server obtains data error information, assembles a data error notification, and transmits the data error notification to data production systems meeting system notification criteria.

Abstract: An exemplary system, method and computer-accessible medium can include receiving information regarding a purchase by a person, receiving financial account information regarding a financial account associated with the person that was used to fund the purchase, generating rewards information associated with the purchase, generating an authentication token(s) based on the financial account information, sending the rewards information and the authentication token(s) over a network, and receiving a confirmation, over the network, that a rewards account associated with the person has been updated.

Abstract: Systems and methods for searching datasets and classifying datasets are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a test dataset from a client device and generating a test data model output using a data model, based on the test dataset. The operations may include processing test data model output by implementing an encoding method, a factorizing method, and/or a vectorizing method. The operations may include retrieving a reference data model output from a dataset index, based on a reference dataset. The operations may include generating a similarity metric based on the reference data model output and the test data model output. The operations may include classifying the test dataset based on the similarity metric and transmitting, to the client device, information comprising the classification.

Abstract: A system for determining candidate answers during an interview. The system may include a memory storing executable instructions, and at least one processor configured to execute the instructions to perform operations. The operations may include capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers; detecting, based on the captured images, a first bounding box comprising the plurality of the candidate answers; detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the alphanumeric characters being located on a line of software code; calculating a distance from a side of a first bounding box to a side of a second bounding box; and determining, based on the calculated distance, a source code alignment.

Abstract: Various embodiments are generally directed to techniques to reduce inputs of a machine learning model (MLM) and increase path efficiency as a result. A method for reducing an MLM includes: receiving a machine learning (ML) dataset, partitioning the ML dataset into a first dataset, a second dataset, a third dataset, and a fourth dataset, training, validating, and testing the MLM using one or more of the first dataset, the second dataset, and the third dataset, after testing the MLM, automatically ranking an importance associated with each input of the MLM using the fourth dataset, and reducing a plurality of inputs of the MLM based on the automatic ranking.

Abstract: Systems and methods for ATM fraud detection are presented. ATM fraud detection may be provided in the context of a currency dispenser configured to dispense currency notes and a force sensor configured to detect a force applied to the currency dispenser, and a processor configured for data communication with the currency dispenser and the force sensor. The processor may issue an alert if the force sensor detects the force for longer than a predetermined time period.

Abstract: Systems and methods for generating synthetic video are disclosed. For example, a system may include a memory unit and a processor configured to execute the instructions to perform operations. The operations may include receiving video data, normalizing image frames, generating difference images, and generating an image sequence generator model. The operations may include training an autoencoder model using difference images, the autoencoder comprising an encoder model and a decoder model. The operations may include identifying a seed image frame and generating a seed difference image from the seed image frame. The operations may include generating, by the image sequence generator model, synthetic difference images based on the seed difference image. In some aspects, the operations may include using the decoder model to synthetic normalized image frames from the synthetic difference images. The operations may include generating synthetic video by adding background to the synthetic normalized image frames.

Abstract: A device and a backend server are described. The device can determine whether it has entered an indoor location, and once in the indoor location, the device can communicate with the server the name of the location. The device can determine the current location of the user in the indoor location, and based on the floorplan and the indoor location of an item, the device can direct the user to the item. The floorplan can be constructed based on data accumulated from various visitors of the indoor location.

Abstract: A device may receive information related to a smart contract to be generated by the device, wherein the information is associated with a set of functions to be included in the smart contract. The device may identify one or more candidate code snippets corresponding to respective ones of the set of functions to be included in the smart contract, wherein the device identifies the one or more candidate code snippets from a plurality of code snippets stored in a blockchain. The device may determine respective quality indications of the one or more candidate code snippets. The device may select, based on the respective quality indications, a set of one or more code snippets, of the one or more candidate code snippets, corresponding to the set of functions. The device may generate the smart contract using the selected set of one or more code snippets corresponding to the set of functions.

Abstract: A system and method for data access control using narrative authentication questions can include a server containing a database storing login credentials for an account associated with a user, and the login credentials can include a narrative authentication question and an authentication response associated with the narrative authentication question. A system and method for data access control using narrative authentication questions can include a user device in data communication with the server, and the user device can receive and transmit user input from the user.

Abstract: When a new communication is received at a server, the system can generate machine readable data pertaining to the communication, e.g., a transcript for the communication. Using the transcript, the system can utilize natural language processing techniques to find at least one request in the communication. The system can search summaries of prior communications, and if there is a communication including a similar request, the system can display a record of the prior communication.

Abstract: Techniques for protecting passwords and/or password entry by a user are provided. User identification data for a user can be received from a remote computing device. An identity of the user can be determined based on the user identification data. A password for the user can be determined. A modified keyboard configuration associated with the user can be determined. A request can be transmitted to the remote computing device for the password for the user based on the modified keyboard configuration. A modified password from the remote computing device can be received. A converted password based on the modified password and the modified keyboard configuration can be determined. The converted password can be compared to the password for the user. The user can be authorized when the converted password matches the password for the user.

Abstract: Exemplary embodiments relate to the secure storage of security questions through an immutable log, such as a blockchain. The security questions may be stored in a centralized location, accessible from an application or browser tab running on the user's device. When a security question is required, such as to perform a password reset on a website, the website may interact with the application or browser tab, which retrieves the question(s) from the blockchain. The user may enter their answers to the question(s), which may be hashed by the application or tab. The hashed answers may be entered into the original requesting website, which may verify with the blockchain that the correct answers have been provided. Thus, the requesting website sees neither the questions nor the answers. Additional security features may include logging requests for questions, so that a user can determine if a security question may have been compromised.