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NASA and Microsoft team up to create Earth Copilot AI chatbot

NASA and Microsoft team up to create Earth Copilot AI chatbot

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    NASA.

Credit: ahundt / Pixabay


  • New Azure OpenAI Service-based AI chatbot allows users to interact with space-borne data

  • The tool democratizes access to more users, including students and academics

  • Users can ask questions in natural language and let AI source data


Microsoft and NASA have teamed up to launch Earth Copilot, a new private copilot built on the Azure OpenAI Service platform to help the space agency make sense of the more than 100 petabytes of data it collects from space.

In a blog post Microsoft explained Geospatial data is already complex, and additional data constantly collected from new satellites increases the challenge.

With the new Earth Copilot tool, users will be able to interact with NASA’s data with natural language commands, making this data more accessible to more scientists, students and others.

Microsoft is developing new artificial intelligence chatbot for NASA

Tyler Bryson, CVP of US Healthcare and Public Sector Industries at Microsoft, explained that the data collected can include atmospheric conditions, land cover changes, ocean temperatures, and more, but navigating technical interfaces, understanding data formats, and engaging in geospatial analysis can be extremely difficult. tough.

With the new Earth Copilot tool, users can ask “What was the impact of Hurricane Ian on Sanibel Island?” will be able to ask questions such as. or “How has the COVID-19 pandemic affected air quality in the United States?” and let AI do the data ingestion for them.

“We designed the system to handle complex queries and large data sets efficiently, allowing users to quickly find the information they need without being overwhelmed by technical complexities,” said former NASA engineer and current Microsoft Azure Expert Juan Carlos López.

A side effect of the project is that Microsoft and NASA will democratize access to data from space, allowing a broader demographic group, including students and academics, to interact with that data.

“The vision behind this collaboration was to leverage AI and cloud technologies to bring Earth’s insights to underserved communities where access to data can lead to tangible improvements,” added Minh Nguyen, Microsoft Cloud Solutions Architect.

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