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Inspired by How Children Learn, New AI Framework Learns to Theorize the World From Observations
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2 Articles
Inspired by how children learn, new AI framework learns to theorize the world from observations
A KAIST research team has developed a next-generation world model, an internal model an AI builds to understand and predict the world, that learns executable theories from observation alone.
·Douglas, United Kingdom
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[Digital Daily Reporter Gu Ah-hyun] A KAIST research team has developed an artificial intelligence (AI) world model technology that independently discovers the principles governing how the world operates using only observational data. A research team led by Professor Sung-Jin Ahn of the KAIST School of Computer Science announced on the 27th that they have proposed a learning method called "Learning-to-Theorize (L2T)," in which AI independently …
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