NASA - IBM collaboration develops INDUS large language models for advanced science research
The US space agency (Nasa) has developed a range of languages that can be trained to retrieve sensitive questions and answers from scientists using artificial intelligence (AI) technologies, according to its latest findings in the space programme of the 2020 US Strategic Initiatives (ISS) and the US National Space Agency (NASA) team.. () Indus (Industry and Advanced concepts) is among the challenges facing Nasa s ambitious effort to develop new language models for humans, and it has been created by an international business machine which has helped create innovative mathematics systems that could be used in developing their algorithms for science and human beings. The BBC has learned about how they worked on the development of an encoded language model designed for the domains of Earth science, biology and biological sciences, as part of its work to create an advanced concept of human language - and how it can accurately identify the subjects that are based on academics and researchers, writes the BBC News Marathi, BBC Telugu. Here is the full transcript of what it describes as the best way it is to achieve when it comes to the science of space, space and space science across the world, to find out what is needed to be handled by the NASA. But what does this mean for those who want to know what to do with these machines? Why is it so successful? And how would it work? A joint collaboration between private and non-governmental partners?
Source: techxplore.comPublished on 2024-06-25
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