Cognizant’s AI Lab reaches 59 U.S. patents with neural network breakthroughs

Cognizant’s AI Lab has secured its 59th U.S. patent, marking a significant milestone in the company’s artificial intelligence research efforts. The achievement reflects Cognizant’s accelerating innovation pace, with two new patents granted in the first half of 2025 alone, plus an additional 23 patents pending approval.

What you should know: The latest patents demonstrate Cognizant’s focus on solving core AI challenges around neural network optimization and training efficiency.
• U.S. Patent No. 12,282,845 covers Multi-objective Coevolution of Deep Neural Network Architectures, designed to improve model performance and resource efficiency across applications from medical imaging to natural language processing.
• U.S. Patent No. 12,292,944 outlines a method for optimizing loss functions through Taylor Series Expansion, aimed at enhancing training efficiency and model robustness in data-limited scenarios.

In plain English: These patents help AI systems learn more efficiently and perform better while using fewer computing resources—like teaching a student to solve problems faster with less effort.

The big picture: Cognizant’s AI Lab is positioning itself as a leader in Decision AI, combining generative AI, multi-agent architecture, deep learning, and evolutionary AI to create sophisticated decision-making systems.
• The lab now holds over 120 patents globally (issued or pending) and operates from a flagship San Francisco research facility opened in March 2024.
• Its Neuro AI platform is already being utilized by Fortune 500 companies and non-profits to optimize decision-making for revenue growth and societal progress.

Key recognition: The lab earned a Gold Award at GECCO 2025 for its groundbreaking RHEA (Realizing Human Expertise through AI) research.
• RHEA employs evolutionary AI to distill and recombine hundreds of models from human expert teams, notably those from the XPRIZE Pandemic Response Challenge.
• In rigorous testing, RHEA surpassed individual human submissions by realizing the latent potential in incompletely developed human ideas.

Making AI accessible: Earlier this year, Cognizant open-sourced its Neuro AI Multi-Agent Accelerator to democratize AI agent development.
• The platform helps businesses accelerate AI agent adoption, transforming processes for adaptive operations, real-time decision-making, and personalized customer experiences.
• This move aligns with the lab’s mission to maximize human potential through accessible AI technologies.

What they’re saying: Leadership emphasizes the practical impact of their research innovations.
• “Being granted two new U.S. patents in the first half of 2025—bringing our AI Lab’s U.S. total to 59 with 23 more patents pending—underscores our relentless pace of innovation,” said Babak Hodjat, CTO of AI at Cognizant.
• Risto Miikkulainen, VP of Research and Professor of Computer Science at UT Austin, noted: “RHEA is a powerful example of how evolutionary AI can amplify global human intelligence—not just by matching expert solutions, but by going beyond them to discover novel, high-impact strategies.”