A*STAR Institute for Infocomm Research (A*STAR I²R)

From music streaming technology to COVID-19 tests, A*STAR Assistant Chief Executive (Enterprise) Sze Wee Tan details how the agency is bringing their innovations out of the lab and into the real world.

Through the years, A*STAR has always stood at the forefront of science and technology and innovation. Here’s how A*STAR came to be and what it has in store in the upcoming decades.

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

Deep learning algorithms for predicting machine failures in industrial settings can be compressed without compromising their performance, say A*STAR researchers.

A deep learning technique developed by A*STAR researchers uses WiFi data to help robots find their way around.

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

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

A generative adversarial network has been used to develop audio classification technologies that require much less training data.

By breaking complex actions into their basic components, researchers have developed a versatile framework that enables robots to learn from human demonstrators.

A*STAR is poised to contribute towards Singapore’s Research, Innovation and Enterprise 2025 plan across all four strategic domains.

Leveraging both artificial intelligence and field knowledge may prove to be a superior strategy for predicting machine health.

Researchers have created a new computational framework that is set to transform the online shopping experience.