AI“助手”加入天文研究行列

Core Viewpoint - The exploration for extraterrestrial life is being revolutionized by the integration of artificial intelligence (AI) into astronomical research, enhancing data analysis and hypothesis generation capabilities [1][2][6]. Group 1: AI in Astrobiology - NASA's "AstroAgents" system, consisting of eight AI agents, is designed to autonomously conduct research in astrobiology, analyzing data and generating scientific hypotheses [2][3]. - The system aims to study Martian samples to identify organic molecules that may indicate past or present life [2][3]. - AI agents utilize large language models to actively participate in research, determining research content and methods, and evaluating results [2][3]. Group 2: Discovering Exoplanets - The ExoMiner project, developed by NASA scientists, has successfully identified 370 previously unknown exoplanets using machine learning techniques [4][5]. - Despite the discovery, none of the identified exoplanets have environments similar to Earth, indicating a challenging search for habitable conditions [4][5]. Group 3: SETI and Electromagnetic Signal Monitoring - The SETI program is employing AI to analyze electromagnetic signals across a wide wavelength range, enhancing the search for extraterrestrial intelligence [6][7]. - A new AI-driven software system is being developed for the Very Large Array (VLA) to process vast amounts of data, significantly improving the efficiency of signal detection [6][7]. - SETI's efforts include scanning millions of stars and hundreds of galaxies for signs of life, with AI also being used to analyze Martian rock samples for biological indicators [6][7].