This analysis demonstrates flexibility and efficacy in problem-solving through collaboration in medical research and climate change mitigation.
This paper examines the transformative potential of agentic AI swarms, which consist of small, specialized bots collaborating to address complex scientific challenges and global emergencies. We introduce the concept of micro-AI agents and their ability to rapidly analyze large datasets, formulate hypotheses, and propose solutions across various domains [1]. The study investigates the architecture and coordination strategies of these AI swarms, highlighting their flexibility and efficacy in problem-solving. We explore potential applications in medical research, climate change mitigation, and disaster response. Ethical considerations and potential risks associated with the deployment of AI swarms are also discussed. Finally, we propose a framework for integrating agentic AI swarms into existing scientific and crisis management systems, paving the way for accelerated discovery and innovation.
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Subhasis Kundu (2025) studied this question.
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