Bank of America had 54 patents in metaverse during Q2 2024. The Bank of America Corp filed patents related to a dynamic caching platform using machine learning, tracking physical resources using non-fungible tokens, extracting and displaying information on smart glasses, NFT segmentation platform for storing and validating NFTs, and secure channel selection for multi-factor authentication using non-fungible electronic resources. These patents focus on innovative technologies for improving efficiency, security, and user experience in various applications. 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 metaverse as a theme in Q2 2024.
Recent Patents
Application: Real-time dynamic caching platform for metaverse environments using non-fungible tokens (Patent ID: US20240193082A1)
The patent filed by Bank of America Corp. describes a dynamic caching platform that utilizes machine learning to generate complexity scores based on interaction information from metaverse devices. These complexity scores are then compared to predefined thresholds to determine caching rules for storing interaction information. The platform continuously updates the complexity scores and caching rules based on new interaction information, ensuring efficient caching. Additionally, the platform can generate non-fungible token certificates based on complexity scores and utilize edge caching for efficient storage.
The computing platform described in the patent includes features such as training a machine learning model based on historical complexity score information, updating the model with new interaction information, and identifying caching rules based on complexity scores. The platform can also handle various types of interaction information, generate NFT certificates, and utilize edge caching for efficient storage. Overall, the platform aims to optimize caching of interaction information from metaverse devices by dynamically adjusting caching rules based on complexity scores and interaction data.
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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.
