SOURCE-LINKED INTELLIGENCE

Origin-XAI: Explainable AI-driven platform for rapid identification of interstellar origin of life

CORDIS · observation · Publication date unknown

ar origin of life This project aims to develop an innovative methodology for identifying biogenic signatures in carbonate minerals by combining advanced spectroscopic techniques (Raman, NMR, IR) with artificial intelligence. The goal is to distinguish biotic from abiotic carbonates across modern, fossil, and experimental analogues. A key objective is to build a curated database of spectral features linked to organic compounds indicative of biogenicity. This dataset will be analyzed using numerical methods and machine learning to develop predictive models capable of identifying biosignatures and discriminating microbial from non-biological origins. Samples will include microbial lab precipitates, sediments from extreme modern environments (e.g., hypersaline, alkaline, acid), and well-preserved fossils The project will establish an AI-based framework for interpreting early biosignatures on Earth and guide future planetary exploration, especially on Mars, and other potentially habitable celestial bodies. The research will be hosted at the University of Granada (UGR) within the res

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recordType

award

status

SIGNED

region

EU

value

209914.56

unit

EUR