機械学習と機械発見：データ中心型の自然科学の教訓と今後
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- 瀧川 一学
- 理化学研究所 革新知能統合研究センター(AIP) 北海道大学 化学反応創成研究拠点 (WPI-ICReDD)
書誌事項
- タイトル別名
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- Machine Learning and Machine Discovery: Lessons and Challenges of Data-Centric Natural Sciences
説明
<p> Machine learning is increasingly becoming a daily tool for natural scientists, forging collaborations across disciplines. This article presents a brief overview from a modern machine-learning viewpoint on what machine learning is, how it can be useful for natural science research, and how it can transform our way of doing science. Every natural science field is now facing diverse experimental, simulated, and literature-based data, and trying to leverage this accessibility and multiplicity of heterogenous views to full advantage. Lessons from data-centric multidisciplinary research over recent years well as common pitfalls and rising challenges are discussed.</p>
収録刊行物
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- 日本結晶成長学会誌
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日本結晶成長学会誌 49 (1), n/a-, 2022
日本結晶成長学会
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詳細情報 詳細情報について
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- CRID
- 1390854882572420480
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- ISSN
- 21878366
- 03856275
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可
