The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

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Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

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The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.