Computer Science Theory of computation

A research group at the Osaka Metropolitan University Graduate School of Informatics has developed a new learning method for artificial intelligence that combines classification performance for data with multiple labels with the ability to learn continually from data. Numerical experiments on real-world multi-label data indicate that the new method outperforms conventional approaches. The simplicity of this algorithm makes it easy to integrate it with other algorithms to devise new ones.

Researchers at Osaka City University create a quantum algorithm that removes spin contaminants while making chemical calculations on quantum computers. This allows for predictions of electronic and molecular behavior with degrees of precision not achievable with classical computers and paves the way for practical quantum computers to become a reality.