Bank of America had nine patents in social media during Q2 2024. Bank of America Corp filed patents for an NFT segmentation platform, a scalable influence concentration community detection apparatus using optical quantum computing, a system for data processing and storage using quantum and DNA computing, and a big data analysis system. These patents focus on improving data processing, fraud detection, and predictive analytics using advanced technologies. GlobalData’s report on Bank of America gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Bank of America had no grants in social media as a theme in Q2 2024.

Recent Patents

Application: Auto-segmentation of non-fungible tokens using machine learning (Patent ID: US20240184859A1)

The patent filed by Bank of America Corp. describes an NFT segmentation platform that utilizes auto-segmentation and validation models to categorize and store non-fungible tokens (NFTs) based on tier scores and thresholds. The platform can automatically adjust the storage location of NFTs based on changes in tier scores and historical data. Additionally, it can validate NFTs for event processing requests and refine the segmentation and validation models through iterative feedback loops.

The computing platform outlined in the patent includes features such as training auto-segmentation and NFT validation models, comparing tier scores to thresholds, storing NFTs in cloud or local storage based on scores, and refining models based on historical data. The platform can also identify storage locations, access NFT information, validate event processing requests, and interact with users through a user interface. Furthermore, the platform can modify a distributed NFT storage ledger, analyze user information, and link user profiles to NFTs, providing a comprehensive system for managing and processing NFTs efficiently and securely.

To know more about GlobalData’s detailed insights on Bank of America, buy the report here.

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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.