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Artificial intelligence: A powerful paradigm for scientific research

📅 October 28, 2021 👤 Yongjun Xu, Xin Liu, Xin Cao et al. 📖 The Innovation 📊 1,580 citations

🤖 Plain-English Summary

Y Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. Moreover, we shed light on new research trends entailing the integration of AI into each scientific discipline.

🔑 Key Findings

  • The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the sustainable booming of AI.
  • This paper undertakes a comprehensive survey on the development and application of AI in different aspects of fundamental sciences, including information science, mathematics, medical science, materials science, geoscience, life science, physics, and chemistry.
  • The challenges that each discipline of science meets, and the potentials of AI techniques to handle these challenges, are discussed in detail.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Oct 28, 2021
Journal The Innovation
Authors Yongjun Xu, Xin Liu, Xin Cao, Changping Huang, Enke Liu
DOI 10.1016/j.xinn.2021.100179
Citations 1,580
Source OpenAlex

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