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Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency

arXiv 2405.09763 ↗First posted 16 May 2024cs.AI cs.ET cs.MAcited by 0

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Abstract (arXiv)

This paper introduces Fusion Intelligence (FI), a bio-inspired intelligent system, where the innate sensing, intelligence and unique actuation abilities of biological organisms such as bees and ants are integrated with the computational power of Artificial Intelligence (AI). This interdisciplinary field seeks to create systems that are not only smart but also adaptive and responsive in ways that mimic the nature. As FI evolves, it holds the promise of revolutionizing the way we approach complex problems, leveraging the best of both biological and digital worlds to create solutions that are more effective, sustainable, and harmonious with the environment. We demonstrate FI's potential to enhance agricultural IoT system performance through a simulated case study on improving insect pollination efficacy (entomophily).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 35 references that are in the map. First posted on arXiv 16 May 2024.

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References · 3

  1. 2021Sustainable AI: Environmental Implications, Challenges and Opportunitiescited by 242
  2. 2018Design of an Autonomous Precision Pollination Robotcited by 7
  3. 2019Flower Interaction Subsystem for a Precision Pollination Robotcited by 1

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