"The Intersection of Physics and AI: A Q&A with an Expert"

Researchers at Forschungszentrum Jülich have developed an artificial intelligence (AI) that can recognize patterns in complex data sets and formulate them into a physical theory, a concept known as the "Physics of AI." This approach involves using methods of physics to analyze and understand the complex function of an AI, allowing for the extraction of learned theories and formulating them in the language of interactions between system components. The AI's computational effort is made possible through efficient parameterization of interactions, enabling the study of systems with around 1,000 interacting components. This approach differs from other AIs by aiming to explain what the AI has learned using the language of physics, falling under the field of explainable AI.