When it comes to mating, looks and the smell are important for small-brained butterflies – but what can artificial intelligence learn from it?What makes the mating behaviors of Heliconius butterflies so interesting? Mate selection by female species relies on visual courtship and chemical pheromones emitted by male butterflies. Males show their wing colors to attract females. Females then make a decision that is based on symmetry, and intensity of the color patterns.
“While AI performs quite well with a single sensory input, multi-sensory decision-making is not happening with the current AI,” he adds.They developed a hardware platform made of two 2D materials: molybdenum sulfide and graphene. Why those two 2D materials? Molybdenum sulfide has light-sensing capabilities that imitate visual capabilities, so this portion of the hardware platform is a memtransitor, an electronic that can perform both memory and information processes.
To test the device, they exposed it to different colored lights, imitating the visual cues, and they also used different solutions with various chemical combinations that resembled the pheromones of butterflies. The aim was to find out if their sensor could combine information from both the photo detector and the chemisensor.
The results they got by measuring the output response showed that the device “could seamlessly integrate visual and chemical cues.” In other words, the sensor can process and interpret different types of information at the same time. As Das explained, butterflies’ brains are very tiny, and they use low amounts of resources, both in terms of energy used and the physical size of the brain. They perform computational tasks that rely on multiple sensory inputs at once. “At the same time, multisensory information processing on a miniaturized hardware platform can advance the field of neuromorphic computing and AI beyond its current reliance on unisensory cues,” they noted.
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