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The new standards of machine learning development
Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
Opinion
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...
As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...
A new study shows that combining machine learning with advanced material engineering can significantly improve the ...
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