Block had 11 patents in artificial intelligence during Q2 2024. Block Inc’s patents in Q2 2024 focus on techniques for generating group data objects, monitoring inputs, and enabling functionality for users. They also involve storing group data objects, altering user interfaces based on user input data, and sending commands to devices. Additionally, the patents cover generating conversational views of interactions, initiating payments, and updating user interfaces accordingly. Furthermore, Block Inc’s patents include an adaptive media content supervision platform and a decentralized node network for storing, receiving, and transmitting data with access controls. GlobalData’s report on Block gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Block had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Group data objects and associated functionality enablement (Patent ID: US20240185212A1)
Block Inc. has filed a patent for techniques that involve generating group data objects and monitoring inputs to determine if attribute thresholds are met, enabling functionality for users associated with the group data objects. Real-time updates to user interfaces are provided to reflect changes in the group data objects. The method includes accessing context data for user accounts, generating group data objects based on this data, associating sub-accounts with the group data objects, monitoring funds in real-time, and enabling specific functionalities for the group of users when certain thresholds are met. Additionally, the system involves determining characteristics of user accounts, generating actionable recommendations for new user accounts to join the group, and enabling sub-accounts for these new users.
The system further includes operations such as associating group data objects with specific purposes, enabling functionalities based on these purposes, and automating the deconstruction of group data objects once the purpose is fulfilled. Additionally, the system determines incentives based on group data object attributes, associates different instances of incentives with individual user accounts and the group as a whole, and enables the utilization of these incentives for transactions. The patent also covers the use of machine learning models to associate group data objects with user accounts, receiving feedback data to update the model, and generating group data objects based on user interactions with previous transactions or likelihood of association with future events.
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