Bank of America had 205 patents in artificial intelligence during Q2 2024. The Bank of America Corp has filed patents for systems and methods to predict, detect, and prevent unauthorized access events in electronic systems, evaluate change requests using artificial intelligence, process voice data using photonic quantum computing, process parallel data tasks using photonic quantum computing, and process image data using photonic quantum computing. These inventions aim to enhance security, efficiency, and accuracy in various technological processes. GlobalData’s report on Bank of America gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bank of America had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Electronic system for predicting, detecting, and preventing unauthorized access events associated with electronic systems (Patent ID: US20240211631A1)
The patent filed by Bank of America Corp. describes a system, computer program products, and methods for predicting, detecting, and preventing unauthorized access events in electronic systems. The system involves receiving alert messages from automated teller machines, determining the location of the machines, identifying nearby machines, and providing commands to prevent unauthorized access events. The system utilizes wireless networks, GPS technology, and machine learning models to analyze images and predict unauthorized access events.
The system is designed to prevent unauthorized access events by analyzing information from alert messages, determining expected user routes, and providing commands to nearby automated teller machines. It incorporates advanced technologies such as wireless networks, GPS receivers, and machine learning models to enhance security measures. By leveraging historical data and predictive analytics, the system aims to proactively address potential security threats and safeguard electronic systems from unauthorized access events.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
