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IBM and NASA are building an AI foundation model for weather and climate | IBM Research Blog

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The goal is to improve the speed, accuracy, and accessibility of weather forecasting and other climate applications. The goal is to improve the speed, accuracy, and accessibility of weather forecasting and other climate applications. Foundation models are fast becoming indispensable tools for writing code, translating languages, and summarizing virtually any text, no matter how complex. Predicting the weather and climate could be next. Fed enough raw data, foundation models can piece together the underlying structure of complex systems, whether that’s code, natural language, or molecules. From this general base of knowledge, a single foundation model can perform many tasks with additional training and task-specific examples. Their power lies in their ability, when prompted, to generate predictions or original content with limited instructions from humans. The essential ingredient is data, which is something NASA has in abundance. To make NASA’s vast and growing data archive more access

IBM open sources CodeAlchemy, a massive synthetic dataset of high-quality code Release Kim Martineau 16 Jul 2026 AI AI for Code Generative AI Natural Language Processing

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