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New Algorithm Mimics Fruit Fly's Ability to Retain Smell Memory

Researchers have developed a new algorithm named Spi-Fly that mimics the ability of fruit flies to retain scent memories. This algorithm aims to improve upon current electronic noses, which struggle with odor retention and detection range. The study was conducted by Kevin Max and Yang Shen at the Okinawa Institute of Science and Technology.

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Kevin Max Yang Shen

<p>Researchers are exploring the capabilities of fruit flies, which, despite having a small brain containing roughly 140,000 neurons, can quickly process a wide range of smells and retain the memory of those scents for extended periods. This ability surpasses that of current electronic noses, which are often expensive, limited in detection range, and tend to forget odors quickly when exposed to new ones.</p><p>In an effort to replicate this capability, researchers Kevin Max and Yang Shen from the Okinawa Institute of Science and Technology have developed a new algorithm called Spi-Fly. Their findings are detailed in a paper published in the journal Neuromorphic Computing and Engineering.</p>

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Original Headline

Just like a fruit fly, a new algorithm never forgets old scents

Neutral Headline

New Algorithm Mimics Fruit Fly's Ability to Retain Smell Memory