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When a honey bee leaves its hive for the first time in its life, it will typically perform one to five flights around the surrounding area to get its bearings, then get straight to work. “Their learning phase is negligible, or close to negligible,” explains Macquarie University’s School of Biology director and bee-obsessive Dr Andrew Barron. Compare this with a drone, armed with computer vision and deep learning., researchers ‘taught’ one to fly around the hallways of their lab facility. Just learning how to not crash into things took the UAV 40 hours of flying time and 11,500 collisions. It’s taken more than collision-free flight and the ability to return home for the bee to survive and prosper for the last or more. Despite having a brain only the size of a sesame seed, they are capable of some impressive cognitive feats. They can, have of sameness and difference, and can grasp the abstract mathematical. “Even if we ignore all of their social behaviour, they have concept learning; they have lifelong memory; they can plan; they can plot incredibly efficient foraging routes over kilometres, finding these ephemeral dispersed resources, and get them back to the colony – and make a profit. And their navigation is superlative,” Barron gushes. Researchers at the Queensland Brain Institute have bees have a level of self-awareness, “if not consciousness”. “In terms of robust cognition honeybees are astonishing,” Barron adds. Applying a deep learning model to just one of the tasks that comes naturally to a honey bee, say, reliably identifying the pollen heavy flowers in a meadow, would take of training examples, and a significant amount of compute. Bees do all they do with less than a million neurons (by comparison a mouse has around 75 million and a human some 100 billion). For Barron and others like him, this presents a tantalising possibility that could give rise to a completely new form and philosophy of artificial intelligence. “I’m building a computer model of the honey bee brain,” he says And his ambition doesn’t stop there. “That’s the way we build towards modelling the human brain,” Barron adds. “We start simple and we build up.” Sting all humans Insect-brain-inspired AI is a slightly fringe field, Barron admits. But it presents potential advantages over deep learning in many applications. “I’m not in any way dissing deep learning. The progress it’s given us is astronomical and very impressive.
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