Materials exhibiting metal-to-insulator transitions (MITs) could enable low power neuromorphic computing, but progress is hindered by insufficient mechanistic understanding. In this issue of Matter, Banerjee and colleagues describe with intricate detail a new MIT mechanism in β′-Cu_xV₂O₅, with potential applications to neuromorphic computing.

中文翻译：

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发现新的金属到绝缘体过渡有望用于神经形态计算

表现出金属到绝缘体转变（MITs）的材料可以实现低功率神经形态计算，但由于对机理的了解不足，阻碍了其进展。在这个问题上物，和班纳吉同事复杂的细节描述了一种新MIT机构在β'-Cu系_X V ₂ ø ₅，具有潜在的应用到神经形态计算。