New Delhi, Nov 15: US space agency NASA has partnered with Microsoft to develop an easy-to-access and user-friendly artificial intelligence-based chatbot that can help people decode scientific data about the Earth.
The new Earth Copilot can answer people’s questions “through plain language” – from monitoring forest fires to tracking climate change – transforming the way people interact with Earth data. NASA IMPACT worked with Earth Copilot from Microsoft to simplify data access and encourage a wide range of users to interact with their Earth science data. Microsoft launched customized AI models to meet the specific needs of various industries.
The AI model leverages Microsoft’s Azure cloud platform and comes with advanced AI capabilities that will transform how people can search, discover, and analyze NASA’s complex geospatial data, which has until now been accessible only to a limited number of researchers and scientists.
“NASA’s trove of geospatial data contains critical insights on everything from climate and air quality to urban planning and disaster response – but its scale and complexity makes it difficult to analyze. With Earth Copilot, they’re making it easier than ever for anyone to access that data,” Satya Nadella, Microsoft president and CEO, said in a post on X.
Earth Copilot also democratizes access to space-borne data, enabling everyone – from researchers to climate scientists to educators to policymakers – to engage with NASA’s science data. Researchers can now spend less time on data retrieval and more time on analysis and discovery. It can help climate scientists instantly access historical data to study trends, while agricultural experts can gain insights into soil moisture levels to improve crop management.
Teachers and educators can use real-world examples to engage students in Earth science, and policymakers can leverage data to make informed decisions on important issues such as climate change, urban development, and disaster preparedness. Gemini new feature update: Google’s AI chatbot now supports referencing up to 10 uploaded or Drive files when creating a custom Gemini.
“We designed the system to efficiently handle complex queries and large datasets, ensuring users can quickly find the information they need without getting bogged down in technical complexities,” said Juan Carlos Lopez, a former NASA engineer and current Microsoft Azure expert.