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High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...
More information: Xinwei Su et al, Machine learning modeling assisted intelligent process analysis for high - performance virus filtration, Journal of Membrane Science (2025).
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.
Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...
Key Takeaways Understanding core concepts like supervised learning, overfitting, and evaluation metrics is vital for data ...
To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...
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