Algorithms

A*STAR researchers unearth new electrochemical insights on carbon capture with desalination brine, optimising the recovery of valuable minerals while reducing climate-changing emissions.

A new training strategy enables robots to efficiently collaborate and learn in dynamic environments, improving their performance in real-world tasks.

Machine-learning-based predictions intelligently analyse complex sensor data to enhance equipment maintenance and reliability.

An enhanced computational design method uses deep learning to accelerate the development of light-based computer chip technologies.

A pioneering computational framework empowers robots to acquire, recognise and effectively use previously unseen tools.

A modified image processing algorithm, created by A*STAR scientists, paves the way toward super-resolution imaging.

A*STAR scientists have devised a learning framework to enable machines to integrate visual, auditory and text data.