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).

Why did natural processes on Earth lead to the creation of biological entities with natural intelligence, rather than computer systems with artificial intelligence (AI)? Even though silicon is the eighth most abundant element in the Solar system, waiting for a silicon chip to be made by a random sequence of chemical or geological processes would be equivalent to expecting a cat who happens to be walking on a keyboard to type a literary masterpiece. There is no conceivable random path that would lead to self-replicating computers out of the soup of chemicals on the early Earth. However, as I reviewed in an extensive textbook titled Life in the Cosmos, published in 2021 with my former postdoc, Manasvi Lingam, there is a reasonable path to explaining biology from the same initial conditions. Starting from the building blocks of silicon chips, computer designers and programmers accomplish complex abstract tasks.

They were responding to the famed futurist's prediction at the COSM 2019 Technology Summit that we will merge with our computers by 2045--The Singularity. "Our intelligence will then be a combination of our biological and non-biological intelligence," he explained. We will then be apps of our smart computers. Kurzweil, a Director of Engineering at Google, should be taken seriously. He boasts a 30-year track record of accurate predictions and many key patents.

How are we making computers do the things we used to associated only with humans? Have we made a breakthrough in understanding human intelligence? While recent achievements might give the sense that the answer is yes, the short answer is that we are nowhere near. All we've achieved for the moment is a breakthrough in emulating intelligence. A more recent example comes from the middle of the last century. A hundred years ago computers were human beings, often female, who conducted repetitive mathematical tasks for the creation of mathematical tables such as logarithms. Our modern digital computers were originally called automatic computers to reflect the fact that the intelligence of these human operators had been automated. But despite the efficiency with which they perform these tasks, very few think of their mobile phones or computers as intelligent. Norbert Wiener launched last century's first wave of interest in emulation of intelligence with his book "Cybernetics".

Functions of left half of the human brain had inspired early work in Artificial Intelligence (AI). Since then, simulating emotions in machines has transcended science fiction and machine reacting with anger and sadness at an appropriate moment is passé. Google Now assistant was in the news recently for expressing "deepest sympathy to you, your mum and the whole family" to a user for his father's death a year ago and Apple's Siri has become a therapist. Today, facial recognition is empowering machines to go beyond Natural Language Processing (NLP) and recognize non-verbal communication such as fear, guilt and discontent through analysing visual micro-expressions. So, what differentiates humans from machines and is "singularity" here?