Smart Nation and Digital Economy (SNDE)

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.

Despite the hype, State-of-the-art machine learning challenges one of the toughest problems in systems biology.

Researchers build a state-of-the-art computational model that can identify emotional cues in real-life conversations