In 2010, researchers revealed that honeybees identify human faces by processing facial features in much the same way people do. Years later, the discovery became an inspiration for developing advanced automatic facial recognition technology Synopsis Honeybees learned to identify face-like patterns by observing feature arrangements. Researchers discovered bees focused on relative positions of eyes, nose, and mouth. This visual strategy could inspire new facial recognition technologies. The insects demonstrated this ability even with unfamiliar images. Their tiny brains achieved complex visual analysis, offering valuable insights. The findings also suggested that the visual strategy used by bees could provide ideas for developing automatic facial recognition systems. The experiment started with a simple question The research followed earlier work by Adrian Dyer of Monash University, who had trained bees to associate photographs of human faces with sugar rewards. Martin Giurfa of the Université de Toulouse wondered whether the bees were actually recognizing faces. Because the insects received sugar when they selected the photographs, Giurfa suspected they might simply be responding to the images as unusual patterns, similar to the way they respond to flowers, as per a Sciencedaily report. Giurfa teamed up with Dyer and Aurore Avargues-Weber to find out exactly what the bees were learning. Bees learned the arrangement of facial features The researchers began with simple images that barely looked like faces. Each one contained two dots for eyes, a short vertical dash for a nose and a longer horizontal line for a mouth. The bees were trained to distinguish between two versions of the image. In one, the features were close together. In the other, they were farther apart. The correct choice was rewarded with a weak sugar solution. The bees recognized faces they had never seen The researchers then tested whether the bees could apply what they had