Smart Nation and Digital Economy (SNDE)

A new mathematical model quickly and reliably predicts the origin of disruptive electromagnetic interference emanating from complex electronic circuits.

By linking past observations with future possibilities, a novel framework could help computers predict human actions more accurately.

Revealing how abnormalities form and grow in piezoelectric films could make smart devices better at making the right connections.

A novel machine learning framework makes it faster and easier to train robots that can perform tasks with unprecedented precision.

A*STAR’s steady investments in R&D and talent create the ideal conditions for impactful science, says its Chief Executive Officer Frederick Chew.

A portable, low-cost spectrophotometer could free up scientists to perform routine experiments outside the lab.

From advanced materials to atomic super sensors, A*STAR scientists are harnessing the power of quantum to the fullest, ushering in the next generation of trailblazing technologies.

This first-of-its-kind integrated avalanche photodetector for visible light lays the foundation for next-generation innovations in imaging and communications.

By giving algorithms the ability to generalize, researchers are expanding the range of problems that can be tackled with artificial intelligence.

A new generative adversarial network-based framework generates artificial brain wave data that improves classification for better brain-computer interface performance.

This two-step outbreak detection framework could give early warnings of dengue outbreaks, improving Singapore’s ability to control the disease.

A hybrid approach combining deep learning with Bayesian inference has enabled more accurate, efficient and automatic crack detection.