发表机构
University of Oxford; University of California, Berkeley; SETI Institute（牛津大学; 加州大学伯克利分校; SETI研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文介绍突破聆听计划利用人工智能和机器学习技术，结合新启用的薇拉·鲁宾天文台等设施，扩大对地外技术特征的搜寻规模，以提高探测机会。
AI 中文摘要
突破聆听计划是人类最雄心勃勃的技术特征搜寻计划，旨在寻找地外技术的证据，目前正在对天空和电磁波谱进行巡天，涵盖图像、光谱、时间序列、星表和警报。经典技术仍在搜寻中发挥重要作用，但近年来人工智能能力的快速增长使得新的更强大的算法和方法能够被部署到海量数据集中。设计用于寻找技术特征的巡天仍是突破聆听计划的主要焦点，但令人兴奋的是，新策略还使得对档案和通用实时数据流的全面挖掘成为可能。我们概述了人工智能和机器学习如何被用于扩大搜寻规模，包括新启用的薇拉·鲁宾天文台以及全球各地的射电望远镜。探测到的机会从未如此之大。
英文摘要
Breakthrough Listen, humanity's most ambitious search for technosignatures, or evidence of extraterrestrial technology, is carrying out surveys across the sky and across the electromagnetic spectrum, in images, spectra, time series, catalogs, and alerts. Classical techniques still play a major role in the search, but the recent rapid growth in the capabilities of artificial intelligence is enabling new and more powerful algorithms and approaches to be deployed across enormous datasets. Surveys designed to look for technosignatures are still a major focus for the Breakthrough Listen program, but excitingly, the new strategies also enable comprehensive mining of archives and of general-purpose real-time data streams. We outline how artificial intelligence and machine learning are being used to scale up the search, including with the newly-commissioned Vera C. Rubin Observatory, in addition to radio telescopes around the planet. The chances of a detection have never been better.
CommentsAccepted as an oral presentation at the 77th International Astronautical Congress
