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Machine learning workflow enables faster, more reliable organic crystal structure prediction
To address these challenges, Associate Professor Takuya Taniguchi from the Center for Data Science and Ryo Fukasawa from Graduate School of Advanced Science and Engineering at Waseda University, Japan ...
A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...
Machine learning (ML) and artificial intelligence (AI) methodologies are having a revolutionizing impact in advancing ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
A recent study published in Nature Materials examined how machine learning is used to reveal the atomic mechanisms of argyrodites, which could open the doors for a new age of energy storage. This is ...
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Researchers extend tensor programming to the continuous world
When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.
As data scientist hiring continues to boom, many organizations report sustained difficulty finding, attracting and retaining data science talent. Even as initiatives to upskill quantitative ...
A multi-institutional team of researchers led by MIT has found a new way to speed up data retrieval in large databases using machine learning. The researchers used machine learning to build better ...
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