I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

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 ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

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

AI is bulldozing its way across industry and education. CEOs are pressured to adapt and integrate as AI's ubiquity becomes ...

A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

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 ...