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Dec 11, 2025 · Artificial Intelligence

Carnegie Team Uses Random Forests on 406 Samples to Detect 3.3‑Billion‑Year‑Old Life

An interdisciplinary Carnegie research team combined pyrolysis‑GC‑MS with supervised random‑forest machine learning on 406 modern and ancient samples, achieving up to 100% accuracy in distinguishing biogenic from abiotic organic matter and successfully identifying molecular biosignatures dating back 3.3 billion years.