Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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Foundation AI models trained on physics, not words, are driving scientific discovery
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
GLM-4.7 Flash packs 31B parameters and an MIT license with free API access, helping you test ideas and ship tools on a tiny ...
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