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: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.

Abstract: Techniques to improve a schedule using optimization are described. Some described techniques improve the schedule using optimization upon a user's travel booking operation and/or in response to changes in the user's relationships. The techniques include an apparatus, a method, and a computer-readable medium configured to process relationship data associated with potential candidates for a set of meetings in a schedule, relationship data corresponding to interaction indicia with each potential candidate, generate, from the relationship data, a connectivity network comprising links with the potential candidates, each link of the links corresponding to a relevance value between a user and a specific potential candidate, and populate, via an optimization unit, open meeting spaces in the schedule with meeting data based upon the connectivity network and availability data of the potential candidates, the schedule being configured to substantially maximize relevancy of the set of meetings.

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 system for obtaining user parameters of e-commerce users to auto complete checkout forms includes one or more processors configured to monitor user interactions of a user with a merchant website on a user device; determine an intent to purchase one or more items based of the monitoring; determine an unfilled template of a checkout form associated with the merchant website based on previously stored website information, wherein the unfilled template of the checkout form comprises a plurality of checkout form fields; determine one or more user parameters associated with the user device; apply a machine learning algorithm to predict a geolocation of the user device based on the one or more user parameters; and auto fill the at least one of the plurality of checkout form fields in the unfilled template of the checkout form based on the predicted geolocation.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

Abstract: The present disclosure relates to systems and methods for generating and using a singular ensemble model.

Abstract: Embodiments of the present disclosure provide a device, system, methods and components related to a modular card. Example components of the modular card include a thin rectangular rear plate, a thin rectangular front plate overlying the rear plate, a first plurality of fasteners fixed to the thin rectangular front plate, a second plurality of fasteners fixed to the thin rectangular rear plate, the second plurality of fasteners being configured to be removably engaged with the first plurality of fasteners; a magnetic strip, and/or an integrated circuit. In operation a user may remove and/or replace various components to customize the modular card. Some customizations include altering the accounts to which the modular card relates. In some example, the modular card may include components which relate to different accounts.

Abstract: The present disclosure relates to systems and methods for using transfer learning in log parsing neural networks. In one implementation, a system for training a neural network to parse unstructured data may include a processor and a non-transitory memory storing instructions that, when executed by the processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to determine that the unstructured data comprises a new category of unstructured data; in response to the determination, identify an existing category of unstructured data similar to the new category; based on the identified existing category, select a corresponding neural network; reset at least one weight and at least one activation function of the corresponding neural network while retaining structure of the corresponding neural network; train the reset neural network to parse the new category of unstructured data; and output the trained neural network.

Abstract: A system is configured to receive first training data, train a first neural network (NN) based on the first training data, receive second training data, train a second NN based on the second training data, receive a first plain English phrase, provide the first plain English phrase to the first NN, generate, via the first NN, one or more first legal clauses based on the first plain English phrase, receive a second plain English phrase, provide the second plain English phrase to the first NN, generate, via the first NN, one or more second legal clauses based on the second plain English phrase, provide the one or more first legal clauses and the one or more second legal clauses to the second NN, and generate, via the second NN, a legal document based on the one or more first legal clauses and the one or more second legal clauses.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

Abstract: Computer-implemented methods and systems are provided for locally freezing a user account in a geographic or digital space. Consistent with disclosed embodiments, locally freezing a user account in a geographic or digital space includes receiving fraud data associated with the user account, the fraud data including a location where a fraud associated with the user account has occurred, wherein the fraud location includes at least one of a digital location or a geographical location; receiving account data associated with the user account, the account data including non-fraudulent account transaction information; generating a pattern of fraud based on the fraud data; generating a pattern of use associated with the user account based on the account data; determining a geodigital area for a localized account freeze based on the pattern of fraud and the pattern of use; and performing a localized account freeze on the user account based on the determined geodigital area.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

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: A platform may receive a first smart contract. The first smart contract may be associated with an entity that stores a plurality of smart contracts in a distributed ledger. The platform may determine a state of the first smart contract and a state of a second smart contract and compare the state of the first smart contract and the state of the second smart contract. The platform may determine, based on the state of the first smart contract and the state of the second smart contract, that a conflict exists between the first smart contract and the second smart contract. The conflict may be determined based on at least one of the first smart contract or the second smart contract being in violation of a respective term of at least one of the first smart contract or the second smart contract.

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: A virtual environment platform may receive, from a user device, a request to access a virtual reality (VR) environment and may verify, based on the request, a user of the user device to allow the user device access to the VR environment. The virtual environment platform may receive, after verifying the user of the user device, user voice input and user handwritten input from the user device. The virtual environment platform may generate processed user speech by processing the user voice input, wherein a characteristic of the processed user speech and a corresponding characteristic of the user voice input are different and may generate formatted user text by processing the user handwritten input, wherein the formatted user text is machine-encoded text. The virtual environment platform may cause the processed user speech to be audibly presented and the formatted user text to be visually presented in the VR environment.

Abstract: Augmented reality-based user authentication for automatic teller machines is disclosed. Embodiments include a system with one or more memory devices storing instructions. The system may further include one or more processors configured to execute the instructions and to receive an authentication request from a user of an ATM. In some embodiments, the processor may retrieve, from the one or more memory devices, an augmented reality password specific to a user, the password comprising an augmented reality object. In other embodiments, the processor may identify a personal user device configured to receive the password, and personalize the password, based on information previously configured by the user. In yet other embodiments, the processor may be configured to present the augmented reality object via a display on the personal user device, and to determine, based on input provided by a user to the augmented reality object, whether to approve the authentication request.

Abstract: An apparatus may include a memory to store instructions; and processing circuitry, coupled with the memory, operable to execute the instructions. When executed, the instructions may cause the processing circuitry to identify a matrix code; read a first layer of the matrix code, the first layer comprising a first account identifier associated with an account, wherein the first layer corresponds to a first color channel; and read a second layer of the matrix code, the second layer comprising a set of account data, associated with the account, wherein the second layer corresponds to a second color channel, different than the first color channel.

Abstract: Methods and systems may be used for transfer learning of neural networks. According to one example, a method includes: grouping data objects of a first training set into a plurality of clusters; training a base model using a first cluster of the plurality of clusters, the base model being a neural network having a plurality of nodes; generalizing the base model to obtain a generalized base model, the generalizing the base model including setting a portion of the plurality of nodes to have random or predetermined weights; determining that the first cluster is, out of the plurality clusters, most similar to a second training set; and training the generalized base model using the second training set to obtain a trained model.