On November 14, 2025, the news section of the renowned journal "Nature" published a special report focusing on the pioneering achievements of Professor Ma Yanqing's research team from the School of Physics at Peking University in the realm of AI-driven scientific discovery.

The team has created an innovative "AI-Newton" system. This system is capable of autonomously deriving physical laws directly from unprocessed experimental data by employing symbolic regression techniques. Remarkably, it accomplishes this without the need for any pre-existing knowledge or human input.

In a series of 46 physics experiments, which involved objects like balls and springs, the system successfully uncovered fundamental physical laws from simulated data that contained noise. Among the laws it discovered were Newton's Second Law (F = ma) and the Law of Conservation of Energy.

The system's core innovation lies in its ability to imitate the cognitive processes of human scientists. It achieves iterative learning by progressively building a knowledge base composed of concepts and laws.

The research team highlighted that this system not only showcases the immense potential of AI in the field of scientific discovery but also offers a novel tool for delving into complex laws, such as those in quantum theory.

At present, this research has garnered support from the National Natural Science Foundation of China and has utilized the high-performance computing platform at Peking University. Additionally, related research papers have been published on the preprint platform arXiv.