05/15/2025, 05:28 AM UTC
受大脑启发的设备追踪手部运动Brain-Inspired Device Tracks Hand Movement
➀ 澳大利亚皇家墨尔本理工大学（RMIT）研究人员开发出基于二硫化钼（MoS₂）的神经形态设备，可低功耗实时追踪手部运动，模拟人脑视觉处理机制；
➁ 该设备利用材料原子级缺陷模拟神经元行为，实现边缘检测与信息存储，规避传统计算的高能耗问题；
➂ 未来将扩展至红外检测及多像素阵列，有望应用于自动驾驶、智能机器人及环境监测等领域。
➀ Researchers at RMIT University developed a neuromorphic device using molybdenum disulfide (MoS₂) to track hand movements in real time with ultra-low energy consumption, mimicking the brain's visual processing.
➁ The device leverages atomic-scale defects in MoS₂ to replicate neuron-like behavior, enabling edge detection and memory storage without traditional computing overhead.
➂ Potential applications include autonomous vehicles, robotics, and environmental sensors, with plans to scale the technology for infrared detection and multi-pixel arrays.
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