Machine Learning Resources
Jul. 17, 2024 • Updated Dec. 07, 2024
Articles
- Mar. 18, 2024, NVIDIA and Siemens Bring Immersive Visualization and Generative AI to Industrial Design and Manufacturing.
Books
- Deep Learning, I. Goodfellow et al..
- 浅谈人工智能：人工智能的现状、任务、架构与统一，朱松纯，2017.
- Artificial Intelligence: A Modern Approach (Third Edition), Stuart J. Russell and Peter Norvig, 2010.
- Computer vision: models, learning, and inference, Prince, Simon JD., 2012.
- Deep Learning with PyTorch, Eli Stevens, Luca Antiga, and Thomas Viehmann, 2020, GitHub repository: deep-learning-with-pytorch.
- Computing Machinery and Intelligence, A. M. Turing, 1950.
- The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life: Plus The Secrets of Enigma, B. Jack Copeland, Editor.
Blogs
Papers
- PDEBENCH: An Extensive Benchmark for Scientific Machine Learning.
- GitHub repo: pdebench/PDEBench.
- Advancing mathematics by guiding human intuition with AI.
- Davies, A., Veličković, P., Buesing, L. et al. Advancing mathematics by guiding human intuition with AI. Nature 600, 70–74 (2021). https://doi.org/10.1038/s41586-021-04086-x.
- GitHub repo: google-deepmind/mathematics_conjectures.
- AI models collapse when trained on recursively generated data.
- Shumailov, I., Shumaylov, Z., Zhao, Y. et al. AI models collapse when trained on recursively generated data. Nature 631, 755–759 (2024). https://doi.org/10.1038/s41586-024-07566-y.
- Shumailov, Ilia, et al. “The curse of recursion: Training on generated data makes models forget.” arXiv preprint arXiv: 2305.17493 (2023). [2305.17493] The Curse of Recursion: Training on Generated Data Makes Models Forget.
- Nature最新封面：AI 训练 AI？也许越来越笨.
- AI can help humans find common ground in democratic deliberation.
- Michael Henry Tessler et al. AI can help humans find common ground in democratic deliberation. Science 386, eadq2852 (2024). 10.1126/science.adq2852.
- Neural general circulation models for weather and climate.
- Kochkov, D., Yuval, J., Langmore, I. et al. Neural general circulation models for weather and climate. Nature 632, 1060–1066 (2024). https://doi.org/10.1038/s41586-024-07744-y.
- Google AI predicts long-term climate trends and weather — in minutes.
- Why ‘open’ AI systems are actually closed, and why this matters
- Widder, D.G., Whittaker, M. & West, S.M. Why ‘open’ AI systems are actually closed, and why this matters. Nature 635, 827–833 (2024). https://doi.org/10.1038/s41586-024-08141-1.
- Nature刊文：“open”AI的实际作用非常有限.
- Physics-informed learning of governing equations from scarce data.
- Chen, Z., Liu, Y. & Sun, H. Physics-informed learning of governing equations from scarce data. Nat Commun 12, 6136 (2021). https://doi.org/10.1038/s41467-021-26434-1.
- Nature子刊 || 物理知识驱动的神经网络：从稀疏数据中发现偏微分方程.
- DiffPhyCon: A Generative Approach to Control Complex Physical Systems.