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| | 2016 | [ AlphaGo] ( https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf ) | 强化学习出圈 | 10257 ([ link] ( https://www.semanticscholar.org/paper/Mastering-the-game-of-Go-with-deep-neural-networks-Silver-Huang/846aedd869a00c09b40f1f1f35673cb22bc87490 ) ) |
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| | 2020 | [ AlphaFold] ( https://discovery.ucl.ac.uk/id/eprint/10089234/1/343019_3_art_0_py4t4l_convrt.pdf ) | 赢得比赛的的蛋白质3D结构预测 | 1074([ link] ( https://www.semanticscholar.org/paper/Improved-protein-structure-prediction-using-from-Senior-Evans/3a083d843f891b3574494c385699c21766ce8b7a ) ) |
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| ✅ | 2021 | [ AlphaFold 2] ( https://www.nature.com/articles/s41586-021-03819-2.pdf ) | 原子级别精度的蛋白质3D结构预测 | 921 ([ link] ( https://www.semanticscholar.org/paper/Highly-accurate-protein-structure-prediction-with-Jumper-Evans/dc32a984b651256a8ec282be52310e6bd33d9815 ) )|
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+ | | 2021 | [ Codex] ( https://arxiv.org/pdf/2107.03374.pdf ) | 使用注释生成代码 | 92 ([ link] ( https://www.semanticscholar.org/paper/Evaluating-Large-Language-Models-Trained-on-Code-Chen-Tworek/acbdbf49f9bc3f151b93d9ca9a06009f4f6eb269 ) )|
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| ✅ | 2021 | [ 指导数学直觉] ( https://www.nature.com/articles/s41586-021-04086-x.pdf ) | 分析不同数学物体之前的联系来帮助发现新定理 | 4 ([ link] ( https://www.semanticscholar.org/paper/Advancing-mathematics-by-guiding-human-intuition-AI-Davies-Velickovic/f672b8fb430606fee0bb368f16603531ce1e90c4 ) ) |
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+ | | 2022 | [ AlphaCode] ( https://storage.googleapis.com/deepmind-media/AlphaCode/competition_level_code_generation_with_alphacode.pdf ) | 媲美一般程序员的编程解题水平 | 2 ([ link] ( https://www.semanticscholar.org/paper/Competition-Level-Code-Generation-with-AlphaCode-Li-Choi/5cbe278b65a81602a864184bbca37de91448a5f5 ) ) |
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