Machine learning to scan for signs of extraterrestrial life
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and future planetary missions. José C. Aponte, Amirali Aghazadeh, and colleagues analyzed eight carbonaceous meteorites and ten terrestrial geologic samples using two-dimensional gas chromatography coupled with high-resolution time-of-flight mass spectrometry. Using this data, the authors developed LifeTracer, a computational ...