How AI is reshaping discovery in maths and physics

Artificial intelligence is transforming discovery in mathematics and physics by altering the way questions are formulated, explored, and understood, rather than replacing human intuition. This shift is evident in the development of new AI tools that assist researchers in identifying complex patterns and generating novel hypotheses. For instance, AI models are now capable of analyzing vast datasets in particle physics, potentially accelerating the discovery of new subatomic particles. In mathematics, AI is being used to explore uncharted areas of abstract algebra and number theory, suggesting new conjectures that human mathematicians can then rigorously prove. The integration of AI into these scientific disciplines is not about automation but about augmentation, providing researchers with powerful new lenses through which to view complex problems. This collaborative approach between humans and AI is expected to lead to breakthroughs that might have been unattainable through traditional methods alone. The Nature article, published online on June 8, 2026, highlights that AI's role is to expand the scope of inquiry and deepen the understanding of fundamental scientific principles.