Projects per year
Abstract
New scientific knowledge is needed more urgently than ever, to address global challenges such as climate change, sustainability, health, and societal well-being. Could artificial intelligence (AI) accelerate science to meet these global challenges in time? AI is already revolutionizing individual scientific disciplines, but we argue here that it could be more holistic and encompassing. We introduce the concept of virtual laboratories as a new perspective on scientific knowledge generation and a means to incentivize new AI research and development. Despite the often perceived domain-specific research practices and inherent tacit knowledge, we argue that many elements of the research process recur across scientific domains and that even common software platforms for serving different domains may be possible. We outline how virtual laboratories will make it easier for AI researchers to contribute to a broad range of scientific domains, and highlight the mutual benefits virtual laboratories offer to both AI and domain scientists.
Original language | English |
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Article number | e19 |
Pages (from-to) | 1-20 |
Number of pages | 20 |
Journal | Data-Centric Engineering |
Volume | 5 |
DOIs | |
Publication status | Published - 27 Aug 2024 |
MoE publication type | A2 Review article, Literature review, Systematic review |
Keywords
- AI-assisted decision-making
- automatic experimental design
- digital twins
- e-science
- human-in-the-loop
- machine learning
- virtual laboratories
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AI4AI: AI software based material design for sustainable AI hardware (AI4AI)
Rinke, P. (Principal investigator), Singh, A. (Project Member) & Homm, H. (Project Member)
01/01/2023 → 31/12/2025
Project: Academy of Finland: Other research funding
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VILMA: Virtual laboratory for molecular level atmospheric transformations
Rinke, P. (Principal investigator), Sandström, H. (Project Member), Löfgren, J. (Project Member), Henkel, P. (Project Member) & Laakso, J. (Project Member)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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AIcon/Rinke: AI-guided CO2 Conversion
Rinke, P. (Principal investigator) & Pisal, P. (Project Member)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding