Fruit flies, with their minuscule 140,000-neuron brains, sort through a vast array of smells in seconds and retain scent memories for a long time. This ability far surpasses current electronic noses, which are expensive, limited in detection, and quick to forget new scents.

Researchers at the Okinawa Institute of Science and Technology, led by Kevin Max and Yang Shen, have developed an algorithm called Spi-Fly, inspired by the fruit fly’s olfactory prowess, as detailed in the journal Neuromorphic Computing and Engineering.

Smell is a complex sense. Unlike vision or hearing, which can be plotted on graphs, odour molecules interact with hundreds of receptor proteins, firing in unique combinations to be decoded by the brain. This system is so intricate that it took until 1991 to identify the receptor gene family behind it, winning Linda Buck and Richard Axel a Nobel Prize in 2004.

Despite these challenges, electronic noses are available for various applications, such as food quality control, environmental monitoring, and security screening. However, they struggle to match the accuracy and longevity of memory seen in fruit flies.

This discovery could lead to advancements in AI, making machines more efficient in scent recognition and memory retention, potentially revolutionizing industries from food safety to environmental monitoring.