AI Requires Physical Grounding and Scientific Partnerships for Real Impact
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To be truly impactful, AI must be deeply grounded in physical reality. This requires tight feedback loops between theory and experiment, deep domain expertise, and robust scientific partnerships. This is the precise thesis behind the Materials Foundry.
AI is rapidly transitioning into the physical world. However, the sheer complexity of physical systems is often underestimated. The real world is messy, high-dimensional, and governed by strict physical laws that standard machine learning cannot navigate in isolation.