Core Insights - An international team led by the Czech Technical University has developed an AI molecular decoder named DreaMS, which can rapidly analyze the structure of unknown molecules, with potential applications in drug development and space life detection [1][2] - The research highlights that known natural molecules represent only a small fraction of what exists, with many undiscovered molecules in plants, soil, and extraterrestrial environments possibly holding keys to new drug formulations and environmental solutions [1] - DreaMS utilizes a groundbreaking learning approach that mimics how human infants learn language, allowing it to autonomously construct a cognitive framework for molecular structure interpretation without prior chemical rules [1] Molecular Analysis Capabilities - DreaMS can estimate the presence of specific molecular fragments or chemical elements, including mastering fluorine detection, which is crucial for modern pharmaceuticals and pesticides [2] - The team trained DreaMS using fluorine-containing samples, overcoming a long-standing detection challenge in the academic community [2]