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As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
We develop a random forest (RF) model for rapid earthquake location with an aim to assist earthquake early warning (EEW) systems in fast decision making. This system exploits P-wave arrival times at ...
To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...
The growing interest in renewable energy and the falling prices of solar panels place solar electricity in a favourable position for adoption. However, the high-rate adoption of intermittent renewable ...