Fusion Intelligence: A Paradigm for Merging Natural and Artificial Intelligence

Here, this article presents fusion intelligence (FI), a bio-inspired paradigm that synergistically integrates the intrinsic capabilities of intelligent biological organisms with the advanced potential of artificial intelligence (AI)-driven systems. FI harnesses the unique intelligence, sensing, actuation, and mobility attributes of living organisms, such as honeybees, blending these with the sophisticated data-driven problem-solving functionalities of AI. By bridging the gap between natural intelligence (NI) and AI, FI can transform how humans interact with and harness the capabilities of both natural and artificial systems. This article presents the model of FI and its application to solve practical problems, discusses the challenges and future directions of FI research, emphasizing a generalized approach to solve complex problems, where AI can observe/control NI in a closed-loop system. We demonstrate the potential for FI to enhance the performance of an agricultural IoT system via a simulated case study, which achieves 50% improvement in the efficacy of insect pollination (entomophily).. Authors: Kalavakonda, Rohan Reddy [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000160708033); Dehghanzadeh, Peyman [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000211714370); Huan, Junjun [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000189219663); Mandal, Soumyajit [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:0000000190702337); Bhunia, Swarup [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000160826961). DOE Contract: SC0012704. Subjects: 47 OTHER INSTRUMENTATION; artificial intelligence; biological systems; collective intelligence; entomology; fusion intelligence; natural intelligence; smart agriculture