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    <title>自主无人机 on Deep Research</title>
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      <title>神经形态计算在机器人导航中的应用：为何二十年的承诺终于成为现实</title>
      <link>https://dailydigest.aabot.us/zh/posts/2026-05-15-neuromorphic-computing-for-robot-navigation-spiking-neural-networks-enable-100x-lower-power-consumption-in-autonomous-drones/</link>
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      <description>经过数十年的未实现承诺，神经形态计算终于解决了自主机器人导航问题，功耗比传统AI降低了100倍。这一突破源于解决了历史上阻碍部署的三个关键障碍：缺乏适用于脉冲神经网络的训练算法、芯片间扩展性差以及软件工具链有限。</description>
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