Block had 22 patents in cybersecurity during Q1 2024. Block Inc’s patents in Q1 2024 cover an adaptive collaboration platform for artists, a cryptocurrency management system with multi-signature authentication, a hashing system for message expansion computations, and the generation of dynamic electronic representations using modeling based on user interaction data. GlobalData’s report on Block gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Block grant share with cybersecurity as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Adaptive collaboration recommendation platform (Patent ID: US20240086480A1)
Block Inc. has filed a patent for an adaptive collaboration platform that generates collaboration recommendations for artists based on artist data and contextual attributes. The platform utilizes machine learning models trained on historical collaboration matches to recommend suitable collaborators to artists, optimizing for specific collaboration objectives such as audience growth or engagement. The system filters artists in an artist population based on relevancy scores derived from contextual attributes, enabling the artist to form communication channels with recommended collaborators through a user interface.
The computer-implemented method described in the patent involves receiving requests to generate collaboration recommendations for artists with specific collaboration objectives, processing artist data and additional artist data to filter and generate collaboration recommendations, and exposing these recommendations via a user interface. The system uses machine learning models trained on historical collaboration matches to optimize for objectives like audience growth or engagement. Collaboration matches are filtered based on contextual attributes, and communication channels can be formed between artists and recommended collaborators. The platform aims to facilitate meaningful collaborations between artists by leveraging data-driven recommendations and communication channels to enhance audience reach and engagement.
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