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English(EN) Energy-efficient codon optimization on thermodynamic hardware

热力学硬件大幅降低药物开发优化的能耗

研究人员开发了一种使用热力学硬件进行药物开发密码子优化的方法,该硬件利用热涨落进行计算。这种方法应用于 SARS-CoV-2 刺突蛋白,在优化质量上与现有方法相当,但与 GPU 相比,估计能节省六个数量级的能源。这项包含开源代码的研究标志着首次将具体的药物应用映射到这种新型硬件上。 AI

排序理由 学术论文,详细介绍了新颖的计算方法及其应用。[lever_c_demoted from research: ic=1 ai=0.4]

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 →

热力学硬件大幅降低药物开发优化的能耗

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学术论文,详细介绍了新颖的计算方法及其应用。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Ross C. Walker ·

    热力学硬件上的高能效密码子优化

    The growing energy demand for computation is becoming increasingly unsustainable. Thermodynamic computing, which harnesses physical thermal fluctuations as a computational resource rather than suppressing them, offers orders-of-magnitude energy savings for probabilistic and combi…