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AI for science

AI for science refers to using models, data pipelines, and automation in research workflows, from literature review and hypothesis generation to protein design, drug discovery, and experiment planning. It matters because it shortens iteration cycles and makes scientific work more programmable.

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Awesome AI for Science Is Becoming a Real Research Map
Tools & Apps/Mar 27

Awesome AI for Science Is Becoming a Real Research Map

This GitHub list pulls together AI tools, datasets, papers, and frameworks for science, giving researchers a practical starting point.