Professor Christo Ananth from the Department of Software Engineering at the Faculty of Intelligent Systems and Computer Technologies of Samarkand State University has received a German invention patent for developing an "AI-Based Adaptive Noise Reduction System" in collaboration with foreign scientists.

   This invention is an adaptive system controlled by artificial intelligence, designed to reduce noise interference in real-time across various engineering applications. The system operates using advanced machine learning algorithms, including deep neural networks and reinforcement learning techniques. It continuously monitors noise sources and automatically adjusts its parameters to optimize signal quality.

   This innovative solution can be effectively applied in fields such as telecommunications, sensor networks, and industrial automation. The system demonstrates high resilience against multiple noise sources, significantly improving signal processing and communication quality.

   By minimizing the impact of external noise and other disturbances, this technology enhances engineering systems by ensuring precise and stable communication.