The European Space Agency (ESA) has announced it will build a ChatGPT-style digital assistant to help humans better decode complex Earth observation data.
Led by Φ-lab (Phi-Lab) — the agency’s Earth observation innovation and investment arm — the chatbot will be trained to understand human queries about the Earth and respond with human-like answers. The lab is due to kick off the project next month.
Earth observation tools like satellites and weather stations gather vast volumes of data on our home planet every day. Most of this information is unlabelled, which makes it hard for traditional machine learning algorithms to make sense of what they are seeing.
That is why ESA Φ-lab is working on developing a foundational AI model to underpin the digital assistant. Foundational models, like those used to power ChatGPT, are AI neural networks trained on unlabelled datasets and designed to handle a wide variety of tasks.
The
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