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English(EN) Software Engineering for AI-driven Building Operation

建筑运营中的人工智能面临独特的软件工程挑战

由于控制故障的不可逆性,在建筑运营中部署人工智能会带来独特的软件工程挑战。与典型的数字环境不同,不理想的建筑控制可能导致能源浪费、居住者舒适度下降以及设备加速磨损。土木工程和计算机科学的两个跨学科研究项目确定了当前针对具有物理后果的故障系统的 SE4AI 实践中的关键差距,为未来的验证奠定了基础。 AI

影响 强调了针对控制物理基础设施的人工智能系统需要专门的软件工程实践,影响部署策略。

排序理由 该条目讨论了关于建筑运营中人工智能软件工程的跨学科项目研究成果。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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

建筑运营中的人工智能面临独特的软件工程挑战

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该条目讨论了关于建筑运营中人工智能软件工程的跨学科项目研究成果。[lever_c_demoted from research: ic=1 ai=1.0]
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78 days old
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    面向AI驱动的建筑运营的软件工程

    Building operations are energy-inefficient. Artificial Intelligence (AI)-driven control systems promise benefits through optimization and predictive control, but deploying them in real buildings reveals a significant software engineering (SE) challenge. SE for AI practices assume…