Smart Nation and Digital Economy (SNDE)
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.
A*STAR researchers have developed a compact on-chip laser using a nanoantenna chain as an optical resonator.
By breaking complex actions into their basic components, researchers have developed a versatile framework that enables robots to learn from human demonstrators.
Lockdown measures not only reduced the number of COVID-19 cases but also resulted in a temporary improvement in air quality, study finds.
A*STAR researchers have built a miniaturized nanoemitter laser that works at room temperature, opening a path to a wide array of future applications.
Horizontal Technology Programme Offices will bring A*STAR’s deep capabilities to bear on real-world issues facing Singapore and the wider world, says Deputy Chief Executive (Research), Andy Hor.