Institute for Infocomm Research (I²R)

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.

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

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

A new cloud-based machine learning framework processes sensitive encrypted data 20 times faster than its predecessors.

Researchers have built a navigation algorithm that leverages multidimensional real-world data to map faster and more efficient traffic routes.

Multidisciplinary efforts across A*STAR are paving the way toward Singapore’s precision medicine vision.

Computer scientists develop an algorithm that tracks moving objects faster and more accurately than current platforms.