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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...
Business students at Northwestern aren’t using AI to shortcut their way through assignments. It’s helping them problem-solve real strategic challenges.
Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
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