Metal-organic frameworks (MOFs) are porous materials that can be applied to modern technologies in energy storage, gas separation, carbon dioxide capture, catalysis, and many other areas. There are an ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...