Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

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 ...

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

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

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

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 ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

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 ...

Faculty opportunities in Computational Modeling, Simulation, and Energy Sustainability. Conduct pioneering research in reservoir simulation, optimization, and decarbonization. Collaborate with ...