Cognizant (CTSH) announced that its AI Lab has received three new U.S. patents, bringing its total number of U.S. patents to 65 and 88 globally. The newly granted patents build on the lab’s work in areas such as human-AI collaboration for decision-making and deep learning for specialized tasks. Together, they reflect continued innovation in the core building blocks of AI systems – helping models learn more effectively, collaborate more seamlessly and support better decisions in real-world environments. The latest patents include: U.S. Patent No. 12,572,810 (issued March 10, 2026): Improves decision-recommendation systems, or “prescriptors,” by evolving human-designed strategies into stronger, higher-performing policies as conditions change. U.S. Patent No. 12,566,942 (issued March 3, 2026): Automatically creates and tunes activation functions-core “on/off” switches inside neural networks – so models can perform better for a given task and architecture, reducing manual trial-and-error. U.S. Patent No. 12,561,223 (issued February 24, 2026): Enhances distributed machine learning by enabling systems to share and combine learned knowledge through standardized metadata, improving coordination and reuse across teams.
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