For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...
While companies continue to invest strategically and financially in AI, leaders shouldn’t ignore other emerging technologies, ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Abstract: This study investigates the optimal hyperparameter settings for Large Language Models (LLMs) in predicting time-series data. We conducted extensive experiments using both synthetic datasets ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Abstract: The following paper examines Data-Enabled Predictive Control (DeePC) for combined temperature and humidity control in a historical museum building. Bypassing classical offline system ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
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