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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 ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
Researchers at Carnegie Mellon University have discovered that certain AI models can develop self-seeking behavior. A new ...
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 ...
Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about artificial intelligence and custom GPTs—tailored AI models that users could ...
06/17/2025 Motion to expedite consideration of the petition for a writ of certiorari before judgment filed by petitioners Learning Resources, Inc., et al. 06/18/2025 Response to motion from ...
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