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开源随机神经元专为边缘硬件设计

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种开源的、用于事件驱动边缘硬件的随机泄漏积分发放（leaky integrate-and-fire）神经元。该神经元设计紧凑，采用SkyWater 130 nm CMOS技术实现，利用线性反馈移位寄存器（LFSR）控制发放概率，并使用泄漏积分器生成脉冲。该设计可通过串行接口进行配置，占用约10,600平方微米，满足50 MHz的时序要求。 AI

影响 这项研究有助于开发更高效的边缘AI应用硬件。

排序理由 该集群包含一篇详细介绍新型神经元硬件设计的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开源随机神经元专为边缘硬件设计

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该集群包含一篇详细介绍新型神经元硬件设计的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Santhosh Sivasubramani ·

    SkyWater 130 nm 中基于开源 LFSR 的随机泄漏积分放电神经元：设计、随机特性表征和速率编码

    Stochastic spiking neurons trade exact arithmetic for controlled randomness, lowering area and tolerating input noise, which suits event-driven edge hardware. We present a compact, configurable stochastic leaky integrate-and-fire neuron in standard-cell CMOS on the SkyWater 130 n…

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