Machine learning

Smartwatch data points to a connection between physical activity and prolonged COVID-19 symptoms among healthcare workers.

Aided by machine learning, researchers develop a novel high-performance steel optimised for more eco-friendly 3D printing.

A new machine learning method enables smaller models to understand and replicate complex relationships within large networks.

An enhanced computational design method uses deep learning to accelerate the development of light-based computer chip technologies.

A new algorithm accurately predicts when industrial machines will need maintenance, which can greatly improve efficiency and reduce costs.

A*STAR scientists use advanced computer models to create a massive database of natural products for drug discovery and beyond.

A new machine learning framework helps train robots to safely navigate pedestrians in crowded, real-world settings.

A novel machine learning framework enables data sharing for pandemic management while safeguarding patient privacy.

A confluence of computational modelling and machine learning helps researchers overcome barriers to complex alloy design.

A new approach combines surface-enhanced Raman spectroscopy with advanced computer analysis to accurately and rapidly detect lung cancer by analysing fluid around the lungs.

A new deep learning method outperforms traditional methods for identifying genetic mutations from DNA sequences and can be a valuable tool for improved cancer diagnostics.

A pioneering computational framework empowers robots to acquire, recognise and effectively use previously unseen tools.