Summary of Fusion Intelligence: Confluence Of Natural and Artificial Intelligence For Enhanced Problem-solving Efficiency, by Rohan Reddy Kalavakonda (1) et al.
Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
by Rohan Reddy Kalavakonda, Junjun Huan, Peyman Dehghanzadeh, Archit Jaiswal, Soumyajit Mandal, Swarup Bhunia
First submitted to arxiv on: 16 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Emerging Technologies (cs.ET); Multiagent Systems (cs.MA); Systems and Control (eess.SY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Fusion Intelligence (FI), an interdisciplinary approach combining biological organisms’ sensing, intelligence, and actuation abilities with Artificial Intelligence (AI) computational power. This bio-inspired intelligent system has the potential to revolutionize problem-solving by leveraging the best of both worlds. A simulated case study demonstrates FI’s ability to enhance agricultural IoT system performance, specifically improving insect pollination efficacy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new kind of smart system that works like bees and ants do. It combines their natural abilities with computer power to make better solutions for complex problems. The goal is to create things that are good for the environment and help us solve problems in new ways. In this case, it helps agricultural systems work better by improving how insects pollinate plants. |
