Just like a fruit fly, a new algorithm never forgets old scents
Researchers have developed a new algorithm called 'Spi-Fly' inspired by the olfactory system of fruit flies to improve electronic scent detection. The algorithm addresses the 'catastrophic forgetting' problem in AI, allowing systems to learn new scents without overwriting previously stored data.
Why it matters
Biomimetic algorithms could significantly improve the efficiency and memory capabilities of AI systems tasked with complex pattern recognition.
Getting a nose to know Just like a fruit fly, a new algorithm never forgets old scents Insect-inspired “sparse coding” does fast learning, avoids catastrophic forgetting.
2 Credit: Joao Paulo Burini Credit: Joao Paulo Burini Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav Fruit flies aren’t exactly famous for their brainpower; you’ve probably drowned more than one in a wine glass left too long on the patio table. And yet, working with roughly 140,000 neurons—a brain smaller than a poppy seed— Drosophila can sort through a huge range of smells in a fraction of a second, and then retain the memory of that scent for a long time.
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