Cognizant Technology Solutions (NASDAQ: CTSH) announced that its AI Lab received three new U.S. patents, bringing its total to 65 U.S. patents and 88 international patents.

The newly granted patents focus on human-AI collaboration for decision-making and deep learning for specialized tasks. The three patents were issued between February and March 2026.

U.S. Patent No. 12,572,810, issued March 10, 2026, improves decision-recommendation systems by evolving human-designed strategies into higher-performing policies as conditions change. U.S. Patent No. 12,566,942, issued March 3, 2026, automatically creates and tunes activation functions within neural networks to improve model performance for specific tasks. U.S. Patent No. 12,561,223, issued February 24, 2026, enhances distributed machine learning by enabling systems to share learned knowledge through standardized metadata.

"As enterprises scale AI, they need systems that are not only powerful, but also adaptable, collaborative, and efficient," said Babak Hodjat, Chief AI Officer at Cognizant. "These patents represent advances in how AI systems learn and evolve, helping organizations move from experimentation to real business impact."

The innovations were developed by Cognizant researchers including Dr. Elliot Meyerson, Professor Risto Miikkulainen, Olivier Francon, Dr. Babak Hodjat, Darren Sargent, and former Cognizant researchers Karl Mutch and Dr. Garrett Bingham.

Risto Miikkulainen, Vice President of AI Research at Cognizant and Professor of Computer Science at UT Austin, said the patents reflect the company's focus on making AI models more adaptive and distributed systems more collaborative.