A*STAR Institute for Infocomm Research (A*STAR I²R)

From artificial intelligence to smart materials and sensors, A*STAR scientists Xiaoli Li and Kui Yao have spearheaded scientific breakthroughs that have led to their recognition as Fellows of the Institute of Electrical and Electronics Engineers (IEEE).

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.

From molecular methods to advanced optics, scientists are combining techniques and expertise from diverse disciplines to transform skin health research and fortify the body’s outermost barrier.

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.

Through close collaborations across scientific disciplines, A*STAR drives new discoveries in neurometabolism and its potential therapeutic applications.

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

From advanced manufacturing to cybersecurity, software engineers like Su Myat Phyoe and Jia Yi Loo work behind the scenes to support cutting-edge computer science research across A*STAR institutes.

As machines take their first full-fledged steps into the world of human language, A*STAR is paving the way through innovative work in natural language processing.

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