Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Our students are coming of age in a world that demands global competency. From economic interdependence to the accelerating effects of climate change and mass migration, students need to develop the ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...
We’ve all been in meetings where leaders are asked to collaborate, yet the room doesn’t feel collaborative at all. Andy Hargreaves once called this contrived collaboration, which occurs when ...
The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
Research indicates that repetition and distributed practice effectively fires and rewires the brain, thereby strengthening memory and improving learning potential. This approach aims to develop and ...
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