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    Home»AI & Robotics»Have we entered a new age of AI-enabled scientific discovery?
    AI & Robotics

    Have we entered a new age of AI-enabled scientific discovery?

    kirklandc008@gmail.comBy kirklandc008@gmail.comFebruary 18, 2026No Comments2 Mins Read
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    Have we entered a new age of AI-enabled scientific discovery?
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    Citations

    S. Bubeck et al. Early science acceleration experiments with GPT-5. arXiv. Submitted November 20, 2025. doi: 10.48550/arXiv.2511.16072.

    U. Jang and E. Ryu. Point convergence of Nesterov’s accelerated gradient method: An AI-assisted proof. arXiv. Submitted October 27, 2025. doi: 10.48550/arXiv.2510.23513.

    L. Cong et al. LabOS: The AI-XR co-scientist that sees and works with humans. arXiv. Submitted October 16, 2025. doi: 10.48550/arXiv.2510.14861.

    R. Okabe et al. Structural constraint integration in a generative model for the discovery of quantum materials. Nature Materials. September 22, 2025. doi: 10.1038/s41563-025-02355-y.

    K. Swanson et al. The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies. Nature. Vol. 646. July 29, 2025. doi: 10.1038/s41586-025-09442-9.

    Z. Xu et al. A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: a randomized phase 2a trial. Nature Medicine. Vol. 31, June 3, 2025. doi: 10.1038/s41591-025-03743-2.

    Y. Guan et al. AI-assisted Drug Re-purposing for Human Liver Fibrosis. bioRxiv. May 4, 2025. doi: 10.1101/2025.04.29.651320.

    P. Jansen et al. CodeScientist: End-to-end semi-automated scientific discovery with code-based experimentation. arXiv. Submitted March 20, 2025. doi: 10.48550/arXiv.2503.22708.

    J. Gottweis et al. Towards an AI co-scientist. arXiv. Submitted February 26, 2025. doi: 10.48550/arXiv.2502.18864.

    H. Park et al. A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture. Communications Chemistry. Vol. 7, February 14, 2024. doi: 10.1038/s42004-023-01090-2.

    J. Listgarten. The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a ‘scientist.’ Nature Biotechnology. Vol. 42, January 25, 2024. doi: 10.1038/s41587-023-02103-0.

    S. Musslick et al. AutoRA: Automated Research Assistant for Closed-Loop Empirical Research. Journal of Open Source Software. Vol. 9, December 5, 2024. doi: 10.21105/joss.06839.

    J. Jumper et al. Highly accurate protein structure prediction with AlphaFold. Nature. Vol. 596, July 15, 2021. doi: 10.1038/s41586-021-03819-2.

    R. D. King et al. The automation of science. Science, Vol. 324, April 3, 2009. doi: 10.1126/science.1165620.

    age AIenabled discovery entered scientific
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