Bank of America Corporation

Other

William P Jacobson

Manu Jacob Kurian

Michael Ogrinz

Joseph Neil Johansen

Heather Roseann Dolan

Amanda Jane Adams

Sasidhar Purushothaman

Suki Ramasamy

Sean Michael Gutman

James McCormack

Jisoo Lee

John Christopher Checco

Jason Daniel Latta

Darryl C Goebel

Monika Kapur

James Heddleson

Todd Michael Goodyear

Dion L Bellamy

Julie Kisselburg Johnson

Swaminathan T Jayaraman

Amanda Kohout

Aaron Gull

Scott Charles Shukes

Michael Rodger Rupert

A system for performing authorization of a user in an augmented reality environment comprises an augmented reality user device, an automatic teller machine, and an authentication server. The automatic teller machine has a keypad with unmarked buttons. The augmented reality user device includes a display configured to overlay virtual objects onto a field of view of a user. The augmented reality user device receives a virtual keypad overlay, which assigns values to the unmarked buttons of the keypad. Using the overlay, the augmented reality user device displays the assigned values on the buttons of the keypad. The automatic teller machine detects an input sequence entered on the keypad and sends the input sequence to the authentication server. The authentication server determines an authentication code by combining the input sequence with the virtual keypad overlay, and compares the determined authentication code with an authentication code stored in a database.

Augmented reality dynamic authentication

A system for natural language processing-based electronic file scanning for processing database queries is provided. In particular, the system may use natural language processing on various types of lookup data to create a consolidated lookup file containing the lookup data. The system may then receive search queries from users and produce a search output based on the consolidated lookup file. Once the search output is provided to the user, the system may, based on the user's interaction with the search output, incorporate the original search query into the consolidated lookup data file using machine learning. In this way, the system may adapt to incorporate variations and nuances of search queries received from its users over time.

System for natural language processing-based electronic file scanning for processing database queries

A system for authorizing an electronic transaction in an augmented reality environment comprises an augmented reality user device and an authentication server. The augmented reality user device includes a display that overlays virtual objects onto a field of view of the user. The user device receives a request to verify information about a payment card used in an electronic transaction. The request includes a virtual authentication object, which is a virtual representation of an object capable of being manipulated by the user in a particular sequence to enter an authentication code. The user device displays the virtual authentication object to the user and detects gestures performed on the virtual authentication object. The user device sends the detected gestures to the authentication server. The authentication server determines the authentication code using the virtual authentication object and the detected gestures, and uses it to authorize the transaction.

Augmented reality dynamic authentication for electronic transactions

A supply chain for a batch of identical units is provided. The supply chain includes database architecture. The batch of units may include a distributed ledger (blockchain) identification (ID), and at least two additional pieces of information. The information includes a serial number of the batch, a location of manufacture of the batch, an ID associated with the source of the batch, and/or the ID(s) of one or more components of each unit in the batch. The supply chain may include a private database supplier key. The supplier key enables publishing of batch transaction information onto a blockchain. The information may include a transfer of control of the batch from the supplier to a receiver-manufacturer. The supply chain may further include a private database receiver-manufacturer key associated with each batch associated with the receiver-manufacturer. The private database manufacturer key enables the receiver-manufacturer to review transactions associated with each batch.

Blockchain-based supply chain certification systems and methods

Systems, computer program products, and methods are described herein for optimizing access control for server privilege. The present invention is configured to electronically receive, from a first computing device associated with a user, a server access request to access one or more servers; determine a first time period associated with the server access request based on an amount of time required to execute a first action on the one or more servers, wherein the first time period is defined by a first time stamp and a second time stamp; initiate an access window at the first time stamp from which the first computing device is capable of executing the first action on the one or more servers; and automatically terminate the access window at the second time stamp.

System for optimizing access control for server privilege

A method for enhancing security of a receptacle for valuables may be provided. The method may include placing currency in the receptacle. The receptacle may include an integral OLED display. The OLED display may occupy a portion of the receptacle. The OLED display may form a portion of the receptacle. The OLED display may be visible from a viewpoint external to the receptacle. The method may include capturing one or more biometric characteristics on a pressure-sensitive portion of the OLED display. The method may include storing the captured biometric characteristics on a software chip of the OLED display. The method may include transmitting the captured biometric characteristics via a communication circuit of the OLED display.

OLED-based secure monitoring of valuables

A virtual reality system including a virtual reality user device with a display that presents a virtual reality environment to a user, an electronic transfer engine, and a virtual overlay engine. The virtual reality user devices receives network component data and security data for a network components. The virtual reality user devices generates overlays the security data onto the network component data to generate a virtual overlay.

Facilitating network security analysis using virtual reality display devices

Aspects of the disclosure relate to implementing and using a data processing system with a machine learning engine to provide automated collaboration assistance functions. A computing platform may receive, from a teleconference hosting computer system, a content stream associated with a teleconference. Responsive to receiving the content stream associated with the teleconference, the computing platform may generate, based on a machine learning dataset, real-time transcript data comprising a real-time textual transcript of the teleconference. The computing platform may receive a request for a summary of the teleconference. Responsive to receiving the request for the summary of the teleconference, the computing platform may generate, based on the real-time transcript data comprising the real-time textual transcript of the teleconference, a summary report of the teleconference. Based on generating the summary report of the teleconference, the computing platform may send the summary report of the teleconference to one or more recipient devices.

Data processing system with machine learning engine to provide automated collaboration assistance functions

A natural language processing system that includes an artificial intelligence (AI) engine and a tagging engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to identify observed concepts within the audio file. The tagging engine is further configured to compare the observed concepts to the first set of concepts, to determine one or more observed concepts matches concepts linked with AI-defined tags, and to modify metadata for the audio file to include AI-defined tags.

Dynamic natural language processing tagging

A method for executing a smart recall of a plurality of manufactured units is provided. The method may include, inter alia, using a database architecture to administer a supply chain for the units, assigning each component of the units a distributed ledger (blockchain) identification (ID), and additional pieces of information such as a serial number of the component, a date of manufacture of the component, a location of manufacture of the component, an ID associated with the source of the component, and/or the ID(s) of one or more subcomponent unit(s) of the component. The assigned information is stored in the database architecture. The method may also include generating a private database supplier key and a manufacturer key. The method further includes: transmitting a notice to downstream manufacturers, transmitting a notice to a regulatory agency to implement safety procedures and/or unit and transmitting a recall notice.

Blockchain-based supply chain smart recall

A natural language processing system that includes an artificial intelligence (AI) engine and a tag management engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tag management engine is configured to receive an audio file, identify tags linked with the audio file, to determine an access frequency for the audio file within a predetermined time period, and to adjust the activity level of the tags based on the access frequency. The tag management engine is further configured to remove tags from the set of tags with an activity level that is less than a purge threshold.

Resource management using natural language processing tags

A natural language processing system that includes an artificial intelligence (AI) engine, a tagging engine, and a resource allocation engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to modify metadata for the audio file to include AI-defined tags. The resource allocation engine is configured to identify a storage location from among the plurality of storage devices based on tags associated with the audio file and send the audio file to the identified storage location.

Dynamic memory allocation using natural language processing tags

The method may include placing currency in the receptacle. The receptacle may include an integral OLED display. The OLED display may occupy a portion of the receptacle. The OLED display may, form a portion of the receptacle. The OLED display may be visible from a viewpoint external to the receptacle. The method may include capturing one or more biometric characteristics on a pressure-sensitive portion of the OLED display. The method may include storing the captured biometric characteristics on a software chip of the OLED display. The method may include transmitting the captured biometric characteristics via a communication circuit of the OLED display.

Growing community of inventors

Matthews, NC, United States of America

William P Jacobson