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AI Hears Chemical Whispers of Life in 3.3 Billion Year Old Rocks

Summary by NEWS9 LIVE
New Delhi: Scientists have for the first time used supervised machine learning to identify biosignatures in rocks billions of years old. The pioneering technique has been used to identify biotic material in 3.3 billion year old sediments from the Josefsdal Chert in South Africa, as well as photosynthetic life in 2.52 billion year old rocks from the Gamohaan Formation, also in South Africa. The research pushes back molecular evidence for oxygen-p…
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The researchers trained computers to recognize the subtle molecular footprints. Details The discovery of chemical traces of life on rocks over 3.3 billion years old with the help of artificial intelligence (AI) has surprised scientists. An international team, led by the Carnegie Institution for Science and with the collaboration of Michigan State University, has managed to identify molecular signals that suggest that oxygen-producing photosynthe…

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invdes.com.mx broke the news in on Monday, November 24, 2025.
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