Artificial intelligence: A powerful paradigm for scientific research

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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 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.
• 2 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.
• 3 The challenges that each discipline of science meets, and the potentials of AI techniques to handle these challenges, are discussed in detail.

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

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