Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). 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 ...

We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...