Scientists want to use AI agents to study rock samples retrieved from Mars.Credit: NASA/JPL-Caltech/MSSS

Georgia Tech researchers played a key role in the development of a groundbreaking AI framework designed to autonomously generate and evaluate scientific hypotheses in the field of astrobiology. Amirali Aghazadeh, assistant professor in the school of electrical and computer engineering, co-authored the research and contributed to the architecture that divides tasks among multiple specialized AI agents. 

This framework, known as the AstroAgents system, is a modular approach which allows the system to simulate a collaborative team of scientists, each with distinct roles such as data analysis, planning, and critique, thereby enhancing the depth and originality of the hypotheses generated

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