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Updated: Jun 24, 2025

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实现分子机器学习通过生物AI的通信:未来的方向和挑战

Sasitharan Balasubramaniam1, Samitha Somathilaka1,2, Sehee Sun1

  • 1School of Computing, University of Nebraska-Lincoln, NE, USA.

IEEE nanotechnology magazine
|June 10, 2024
PubMed
概括

分子机器学习 (MML) 探索使用分子进行计算,超越传统设备. 这项研究回顾了MML方法,并提出了使用生物系统进行人工智能任务的新方向.

关键词:
人工智能的人工智能机器学习 机器学习分子通信分子通信合成生物学 合成生物学

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