A*STAR researchers uncover how bacterial hideouts created during tuberculosis infections can also protect and feed other opportunistic invaders.

A new approach to training AI models can help improve fairness in decision outcomes for the most disadvantaged groups even when their identities are unknown.

The performance of a copper catalyst in reducing carbon dioxide is determined not by its initial form but by how its surface is sculpted by a fluorine doping reaction.

A*STAR researchers have developed a microneedle patch technology that can deliver drugs and vaccines more effectively and with minimal invasiveness.

By uncovering how conventional metals interact with novel semiconductors, researchers achieve a breakthrough in nanoscale circuitry for ultra-low temperature quantum electronics.

A new approach to trapping light waves inside tiny flat structures could enable more energy-efficient lasers in next-generation photonic devices.

A close look at an additive manufacturing technique for titanium alloys reveals how tiny process variations can shape high-performance components.

Stress-testing artificial intelligence models under real-world conditions can improve their reliability, enabling the maritime industry to embark on safer and greener voyages.

A hybrid platform for manipulating deep ultraviolet light in semiconductor materials opens new possibilities for next-generation ultraviolet photonic devices.

Bigger models are not always better, as A*STAR researchers show how a targeted AI model can beat global, general-purpose models in summarising multilingual regional news.