Using AI to find rare minerals

A machine learning model can predict the locations of minerals on Earth—and potentially other planets—by taking advantage of patterns in mineral associations. Science and industry seek mineral deposits to both better ...

Prospecting for copper with machine learning and zircons

Zircons are common, hardy minerals that can be found in rocks up to 4 billion years old. Their structure and texture can reflect the conditions in which they formed, earning them a reputation as nature's time capsules. And ...

Tiniest ever ancient seawater pockets revealed

Trapped for millennia, the tiniest liquid remnants of an ancient inland sea have now been revealed. The surprising discovery of seawater sealed in what is now North America for 390 million years opens up a new avenue for ...

Machine learning could revolutionize mineral exploration

Twenty-first century technologies, including those central to a low-carbon future, rely on rare earth elements and metals. Many of these sought-after minerals reside in porphyry copper deposits that contain hundreds of millions ...

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