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Many university scientists are frustrated by the limited amount of computing power available to them for research into artificial intelligence (AI), according to a survey of academics at dozens of institutions worldwide.
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Nature 636, 16-17 (2024)
doi: https://doi.org/10.1038/d41586-024-03792-6
Khandelwal, A. et al. Preprint at arXiv https://doi.org/10.48550/arXiv.2410.23261 (2024).
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How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models
Who’s making chips for AI? Chinese manufacturers lag behind US tech giants
How Nature readers are using ChatGPT
Will AI’s huge energy demands spur a nuclear renaissance?
How AI-powered science search engines can speed up your research
ChatGPT-like AIs are coming to major science search engines
Chatbots in science: What can ChatGPT do for you?
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