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 ...

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

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 ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

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