在人工智能时代教育未来的化学家:数字化学课程
Lauriane Jacot-Descombes1,2, Stefan P Schmid3,2, Kjell Jorner4,2
1Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093 Zurich, Switzerland. lauriane.jacot-descombes@chem.ethz.ch.
Chimia
|October 29, 2025
概括
人工智能 (AI) 和机器学习 (ML) 对未来的化学家至关重要. 这个视角详细介绍了一个新的课程",数字化学",旨在为科学家提供现代化学研究和工业所必需的AI和ML技能.
科学领域:
- 化学 化学 化学
- 计算机科学 计算机科学
- 教育教育教育教育教育教育.
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 正在迅速发展.
- 这些技术越来越多地融入了化学工业和学术研究.
- 越来越多的化学家需要接受AI和ML的教育.
研究的目的:
- 描述该领域的发展过程.
- 数字化学 数字化学
- 这是苏黎世ETH的课程.
- 概述 ML 教学方法及其在化学中的应用.
- 强调人工智能和机器学习技能对未来化学家的根本重要性.
主要方法:
- 大学级课程的课程开发.
- 专注于机器学习原理和化学应用的教学.
- 重点是对机器学习模型的批判性评估.
主要成果:
- 一个新的课程,一个新的课程.
- 数字化学 数字化学
- ,已经开发出来.
- 该课程概述了化学ML的教学方法.
- 强调了解,应用和批判性评估ML模型的必要性.
结论:
- 在AI和ML中教育未来的化学家是必不可少的.
- 这是一个很棒的节目,这是一个很棒的节目.
- 数字化学 数字化学
- 课程为此类教育提供了一个模型.
- 这个倡议旨在激励教育工作者,并加强这一重要领域的教学.
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