Fly-brain-inspired algorithm Spi-Fly aims to fix electronic noses' memory loss

Researchers Kevin Max and Yang Shen at the Okinawa Institute of Science and Technology have developed an algorithm called Spi-Fly that mimics how fruit fly brains process and remember smells. Published in Neuromorphic Computing and Engineering, the work targets a key weakness of existing electronic noses: their tendency to forget previously learned odors when trained on new ones.