Smart Nation and Digital Economy (SNDE)

Researchers pioneer new pathways towards miniaturised electronics with a scalable, high-efficiency liquid-printing technology for semiconductor manufacturing.

Researchers teach artificial intelligence systems how to process information by mimicking human introspection.

A computational breakthrough allows computers to better identify three dimensional objects by recognising relevant image features.

Researchers develop a new image-processing algorithm that sharpens hazy images by distinguishing true colours and removing visual noise.

A new machine learning platform offers more accurate traffic predictions for safer, less congested roads.

A new automated video summarisation model uses viewers’ brain signals to extract reel highlights that evoke emotions.

A new framework gives pre-trained machine learning models the ability to perform optimally in real-world settings, even with limited training data.

A hybrid approach that combines classical and quantum computing may be a stepping stone to solving complex, evolving mathematical simulations.

A new image dehazing algorithm sharpens both real-world and computer-generated images with unprecedented speed and accuracy.

By analysing heart cells, a new machine learning algorithm could help predict arrhythmia risk before symptoms appear.

Technology for finding non-visual defects in semiconductors leaps forward thanks to an online machine learning algorithm that learns on the fly.

Researchers develop machine learning models for accurately diagnosing an inflammatory skin condition.