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The report indicates that AI for Science has crossed a critical threshold where industrialization is now driven by the integration of technology, industry demand, and policy rather than just model performance alone. The value proposition is shifting from raw capability to tangible research productivity, data asset utilization, and systematic biological design across the drug discovery supply chain.
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Surse care acoperă36Kr, organiser.org, LessWrong, Fortune
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CITIC Securities: AI for Science Reaches Critical Point for Industrialization
36Kr1 min de cititArticolul și perspectiva sunt în engleză.
36Kr reports that a CITIC Securities research note states the current AI drug development industry chain has evolved into an interconnected empowerment system centered on platforms and technology middle offices, with deep collaboration across upstream, midstream, and downstream sectors. The sector is showing a trend of multiple business models advancing concurrently. AI for Science is transitioning from a competition in model capabilities to a critical point for industrialization, driven by the convergence of technology, industry, demand, and policy. Value anchors are shifting from model capabilities to research productivity, data assets, and systematic biological design.
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