A remarkable new AI system called AlphaGeometry recently solved difficult high school-level math problems that stump most humans. By combining deep learning neural networks with logical symbolic reasoning, AlphaGeometry charts an exciting direction for developing more human-like thinking.
The key innovation underlying AlphaGeometry is its “neuro-symbolic” architecture integrating neural learning components and formal symbolic deduction engines. As the researchers from DeepMind explain, theorem proving tasks like geometry construction problems require both (i) flexible neural creative reasoning to infer implicit relationships and introduce new steps, and (ii) logically rigorous rule-based deduction to reliably build chains of sound inferences.