计算机科学
机器学习
人工智能
训练集
主动学习(机器学习)
深度学习
合成生物学
计算学习理论
系统生物学
合成数据
作者
Alia Clark‐ElSayed,Ian T. Harrison,Mari Olsen,John T. Lazar,Michael C. Jewett,Andrew D. Ellington
标识
DOI:10.1038/s41467-025-65281-2
摘要
Synthetic biology is defined by Design-Build-Test-Learn cycles. Recent advances in machine learning are changing the landscape; thus, we propose that “Learning” can precede “Design”. Moreover, adopting cell-free platforms can further accelerate “Building” and “Testing” for megascale data generation and models.
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