A new study from MIT demonstrates a significant advancement in AI’s ability to understand and reason about the physical world. Researchers developed a system that combines neural networks with symbolic reasoning, allowing AI to make inferences about object permanence, stability, and basic physical interactions from visual data. This hybrid approach, tested on simulated environments, showed improved performance over purely data-driven models in tasks requiring common-sense physical understanding. The work represents a step toward AI that can navigate and interact with the real world more reliably. For the full details, read the complete article at https://technologyreview.com/2024/05/15/ai-physical-reasoning-study.