Smart Nation and Digital Economy (SNDE)
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.
Floor mats equipped with deep learning could take us one step closer to truly smart homes.
A generative adversarial network has been used to develop audio classification technologies that require much less training data.