Networks of Silver Nanowires Appear to Learn And Remember Like The Human Brain

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Networks of Silver Nanowires Appear to Learn And Remember Like The Human Brain
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Over the past year or so, generative AI models such as ChatGPT and DALL-E have made it possible to produce vast quantities of apparently human-like, high-quality creative content from a simple series of prompts.

Though highly capable – far outperforming humans in big-data pattern recognition tasks in particular – current AI systems are not intelligent in the same way we are. AI systems aren't structured like our brains and don't learn the same way.amounts of energy and resources for training . Their ability to adapt and function in dynamic, hard-to-predict and noisy environments is poor in comparison to ours, and they lack human-like memory capabilities.

Our research focuses on a system that uses a network of"nanowires" to mimic the neurons and synapses in the brain. Left: microscope image of silver nanowire networks. Right: strengthened and pruned pathways in nanowire networks. When we stimulate nanowires with electrical signals, ions migrate across the insulating layer and into a neighboring nanowire . As a result, we observe synapse-like electrical signaling in nanowire networks.Our new work uses this nanowire system to explore the question of human-like intelligence. Central to our investigation are two features indicative of high-order cognitive function: learning and memory.

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