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English(EN) Controlling Biology - Fabian Theis, Helmholtz Munich

AI x 生物学：18亿美元计划为AI注入海量生物数据

作者 PulseAugur 编辑部 · [2 个来源] ·

一项涉及Chan Zuckerberg Biohub、NIH、DOE、Google和Meta的18亿美元重大计划旨在生成大规模生物数据用于AI训练。这项由Fabian Theis等研究人员领导的努力，专注于从分子到生物体的复杂生物系统的理解。尽管“虚拟细胞”项目最初面临挑战，其中复杂的AI模型在扰动预测方面难以超越基本基线，但新的测量能力和更优化的指标有望使AI能够应对这些更大、更复杂的问题。 AI

影响 该计划有望通过提供前所未有的数据集来训练模型，从而加速AI在复杂生物学研究中的应用。

排序理由 关于涉及多家主要组织的AI x 生物学计划的重大资金公告。

在 Latent Space (swyx) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI x 生物学：18亿美元计划为AI注入海量生物数据

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关于涉及多家主要组织的AI x 生物学计划的重大资金公告。
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2 independent sources
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funding, product, infra
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High
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Breaking (< 6h)
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报道来源 [2]

  1. Latent Space (swyx) TIER_1 English(EN) · RJ Honicky ·

    Controlling Biology - Fabian Theis, Helmholtz Munich

    As systems biology efforts heat up to map biology at higher resolution, greater breadth and more modalities, Fabian Theis is pushing the frontier from mapping to predicting to controlling biology

  2. Latent Space (swyx) TIER_1 English(EN) · Latent.Space ·

    Controlling Biology - Fabian Theis, Helmholtz Munich

    Fabian Theis has been one of the key players in the various iterations of the Virtual Cell concept and initiatives. It is not hyperbole at all to say that his lab has been pushing the frontier of algorithms to understand multi-scale, multi-modal (”mult...

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