{"690909":{"#nid":"690909","#data":{"type":"news","title":"How Agentic AI is Rethinking the Origins of Life on Earth","body":[{"value":"\u003Cp\u003EAs strange as it sounds, the key to understanding life\u2019s origins might lie in artificial intelligence. At least, according to a new approached being pursued by researchers at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/ece.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESchool of Electrical and Computer Engineering\u003C\/strong\u003E\u003C\/a\u003E (ECE) Assistant Professor \u003Ca href=\u0022https:\/\/ece.gatech.edu\/directory\/amirali-aghazadeh-mohandesi\u0022\u003E\u003Cstrong\u003EAmirali Aghazadeh\u003C\/strong\u003E\u003C\/a\u003E and Ph.D. student Daniel Saeedi have developed \u003Ca href=\u0022https:\/\/astroagents.github.io\/\u0022 rel=\u0022noreferrer\u0022\u003E\u003Cstrong\u003EAstroAgents\u003C\/strong\u003E\u003C\/a\u003E, an AI system that analyzes mass spectrometry data \u2014 detailed chemical compositions from meteorites and Earth soil samples \u2014 to generate novel hypotheses about the origins of life on the planet.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWhat sets AstroAgents apart is its use of agentic AI. Unlike traditional AI systems that perform fixed tasks, this agentic system is designed to pursue a scientific goal. It draws from astrobiology literature, interprets complex data, and proposes original ideas that researchers can investigate further.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETheir \u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2503.23170\u0022 rel=\u0022noreferrer\u0022\u003E\u003Cstrong\u003Epaper\u003C\/strong\u003E\u003C\/a\u003E, recently featured in the journal \u003Ca href=\u0022https:\/\/www.nature.com\/articles\/d41586-025-01364-w#:~:text=AstroAgents%20comprises%20eight%20\u0026amp;apos;AI%20agents,\u0026amp;apos;%20%E2%80%94%20what%20can%20it%20do%3F\u0022 rel=\u0022noreferrer\u0022\u003E\u003Cstrong\u003ENature,\u003C\/strong\u003E\u003C\/a\u003E is opening new possibilities for how scientists explore questions that have remained unanswered for decades.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn a special Q\u0026amp;A, Aghazadeh and Saeedi explain how AstroAgents analyzes space chemistry, what it\u2019s revealing about the possible origins of life on Earth, and what they hope to explore next.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/ece.gatech.edu\/news\/2025\/06\/how-agentic-ai-rethinking-origins-life-earth\u0022\u003E\u003Cstrong\u003EREAD THE Q\u0026amp;A\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers Amirali Aghazadeh and Daniel Saeedi discuss AstroAgents, an agentic AI system that analyzes space chemistry to generate new ideas for life\u2019s beginnings.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers Amirali Aghazadeh and Daniel Saeedi discuss AstroAgents, an agentic AI system that analyzes space chemistry to generate new ideas for life\u2019s beginnings. "}],"uid":"27255","created_gmt":"2026-06-24 20:18:05","changed_gmt":"2026-06-24 20:29:23","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-06-02T00:00:00-04:00","iso_date":"2026-06-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"680511":{"id":"680511","type":"image","title":"agentic-ai.jpeg","body":null,"created":"1782332295","gmt_created":"2026-06-24 20:18:15","changed":"1782332553","gmt_changed":"2026-06-24 20:22:33","alt":"Person working on a laptop with a digital visualization of an AI system, code, and automated workflows.","file":{"fid":"264784","name":"agentic-ai.jpeg","image_path":"\/sites\/default\/files\/2026\/06\/24\/agentic-ai.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/06\/24\/agentic-ai.jpeg","mime":"image\/jpeg","size":5343243,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/06\/24\/agentic-ai.jpeg?itok=gEreWYzD"}}},"media_ids":["680511"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"660369","name":"Matter and Systems"},{"id":"1292","name":"Parker H. Petit Institute for Bioengineering and Bioscience (IBB)"},{"id":"1188","name":"Research Horizons"},{"id":"660370","name":"Space"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"193652","name":"Matter and Systems"},{"id":"193657","name":"Space Research Initiative"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDan Watson\u003Cbr\u003Edwatson@ece.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}