Cognizant's AI Lab Records 59th U.S. Patent, Continuing to Generate AI Breakthroughs
Rhea-AI Summary
Cognizant (Nasdaq: CTSH) announced significant AI achievements, including two new U.S. patents in 2025, bringing their AI Lab's total to 59 patents with 23 more pending. The company received patents for Multi-objective Coevolution of Deep Neural Network Architectures (No. 12,282,845) and optimizing loss functions through Taylor Series Expansion (No. 12,292,944).
The company also open-sourced its Neuro AI Multi-Agent Accelerator platform and earned a Gold Award at GECCO 2025 for their RHEA (Realizing Human Expertise through AI) project, which successfully combines human expert knowledge to create improved AI solutions for pandemic response strategies.
Positive
- Secured 2 new U.S. patents in 2025, reaching total of 59 AI patents with 23 pending
- Won Gold Award at GECCO 2025 for groundbreaking RHEA project
- Successfully open-sourced Neuro AI Multi-Agent Accelerator platform
- Demonstrated leadership in AI innovation through practical applications
Negative
- None.
Insights
Cognizant strengthens AI patent portfolio to 59, showcasing R&D prowess in evolutionary computing and neural network optimization.
Cognizant's AI Lab has secured two new U.S. patents in H1 2025, bringing their total to 59 with 23 more pending. These patents represent significant intellectual property in AI optimization techniques - one for multi-objective coevolution of neural networks and another for optimizing loss functions through Taylor Series Expansion. Both innovations tackle fundamental AI challenges: improving model performance while maintaining resource efficiency.
The company's open-sourcing of their Neuro AI Multi-Agent Accelerator platform demonstrates a strategic dual approach - building proprietary technology while participating in the open-source ecosystem to drive adoption and community development. This balanced strategy typically accelerates market penetration while maintaining competitive advantages through core proprietary innovations.
Most notably, their RHEA (Realizing Human Expertise through AI) technology received a Gold Award at GECCO 2025. This evolutionary AI system's ability to distill and enhance human expert knowledge represents a potentially transformative approach for complex problem-solving. The pandemic policy application showcases practical utility in high-stakes scenarios.
Cognizant's investment in foundational AI research, particularly in evolutionary computing approaches rather than just implementing existing models, positions them distinctively in the corporate AI landscape. Their San Francisco research facility expansion in 2024 further indicates commitment to long-term AI capability development.
The involvement of academic researchers (including a UT Austin professor) suggests Cognizant maintains strong academic connections, typically vital for accessing cutting-edge research talent and ideas in AI development.
In 2025, the Lab has yielded two new
"Being granted two new
The two latest patents highlight key innovations from Cognizant's AI research:
U.S. Patent No. 12,282,845 (issued on April 22, 2025) covers a method for Multi-objective Coevolution of Deep Neural Network Architectures, aimed at improving model performance and resource efficiency. The method's application ranges from medical image classification to natural language processing.U.S. Patent No. 12,292,944 (issued on May 6, 2025) outlines a method for optimizing loss functions through Taylor Series Expansion, aiming to improve training efficiency and enhance model robustness, especially is data-limited scenarios.1
These innovations, developed by Cognizant's researchers including Dr. Jason Liang, Dr. Elliot Meyerson and Professor Risto Miikkulainen, reinforce Cognizant's leadership in pushing the boundaries of AI and machine learning.
To make the promise of artificial intelligence both more practical and broadly accessible, earlier this year, Cognizant's AI Lab open sourced its Neuro AI Multi-Agent Accelerator. Neuro AI helps businesses accelerate their development and adoption of AI agents, transforming their business processes for adaptive operations, real-time decision-making, and personalized customer experiences tailored to client-defined objectives and oversight.
The Cognizant AI Lab, which opened its
Risto Miikkulainen, VP of Research and Professor of Computer Science at UT
About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
About the Cognizant AI Lab
The mission of the Cognizant AI Lab is to maximize human potential with Decision AI, a form of AI that combines generative AI, multi-agent architecture, deep learning, and evolutionary AI to create sophisticated decision-making systems. Decision AI powers Cognizant's Neuro® AI platform, which is utilized by Fortune 500 companies and non-profits to discover new ways to exceed their goals. The platform enables organizations to rapidly build AI that optimizes decision-making, leading to revenue growth and societal progress.
Led by AI pioneers Babak Hodjat and Risto Miikkulainen, the lab collaborates with institutions, academia, and technology partners to develop groundbreaking AI solutions responsibly. With over 120 patents (issued or pending) globally, the lab excels at combining scientific innovation with commercial application. It supports Cognizant's goal of improving everyday life, focusing on business and AI-for-good applications.
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1 | Descriptions of patented technologies are simplified for general understanding. For full legal scope, please |
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SOURCE Cognizant