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Jan 23, 2022

One Step Closer to Flexible AI

Posted by in category: robotics/AI

The Korea Advanced Institute of Science and Technology (KAIST) announced on Jan. 5 that professor Lee Sang-wan and his research team at its Department of Bio and Brain Engineering found a way to solve overfitting and underfitting in machine learning.

Artificial intelligence models present optimal solutions to various problems. However, their situational flexibility is still at a very low level. On the other hand, people focus on given problems while responding flexibly to changing conditions and situations.

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