Institute for Infocomm Research (I²R)
A new algorithm accurately predicts when industrial machines will need maintenance, which can greatly improve efficiency and reduce costs.
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 pioneering computational framework empowers robots to acquire, recognise and effectively use previously unseen tools.
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 new image dehazing algorithm sharpens both real-world and computer-generated images with unprecedented speed and accuracy.