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Updated: Nov 19, 2025

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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
Published on: May 16, 2021
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The AI for Scientific Discovery Network.
Samantha Kanza1, Colin Leonard Bird1, Mahesan Niranjan2
1School of Chemistry, University of Southampton, Southampton SO17 1BJ, UK.
Patterns (New York, N.Y.)
|January 29, 2021
Summary
The Artificial Intelligence and Augmented Intelligence for Automated Investigation for Scientific Discovery Network+ (AI3SD) network promotes AI research for scientific discovery. Early work identified key challenges in AI and chemistry, guiding future research directions.
Area of Science:
- * Artificial Intelligence (AI) and Augmented Intelligence (AuI) for scientific discovery.
- * Interdisciplinary research spanning AI, chemistry, and computational sciences.
Background:
- * Established in response to a UK Engineering and Physical Sciences Research Council (EPSRC) call for AI research networks.
- * Aims to accelerate scientific discoveries through cutting-edge artificial intelligence.
Purpose of the Study:
- * To outline the philosophical, scientific, and technical foundations of the AI3SD Network+.
- * To detail the historical context and specific focus areas of the network.
- * To present the outcomes and future directions shaped by initial research challenges.
Main Methods:
- * Establishment of a research network funded by EPSRC.
- * Facilitation of collaborations and research activities across diverse scientific domains.
- * Analysis of challenges encountered in the first year of operation.
Main Results:
- * Highlighted significant challenges at the intersection of chemistry and AI/AuI.
- * Identified key areas for future research and network development.
- * Provided insights into network management and adaptation.
Conclusions:
- * The network's initial phase has revealed critical challenges and opportunities in AI for scientific discovery.
- * Lessons learned are informing future strategies, including a rebranding to AI 4 Scientific Discovery Network.
- * Future plans are adapted to the evolving scientific landscape, including post-COVID-19 considerations.
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