How Microsoft Research Asia Singapore is Making AI Work in Real Life

Artificial Intelligence (AI) has developed rapidly over the last few years; however, one large issue remains: how do we transfer AI out of the research laboratories and into reality? It is the challenge that motivates Xinxing Xu, a leading researcher of the new Singapore location of Microsoft Research Asia. The subject of his work consists of transforming the research into actual solutions that can assist people and businesses on a daily level.

The Microsoft Research Asia in Singapore laboratory was founded in 2024, and the mission of the laboratory is strikingly clear: make AI research that works in the real world. They do not want to simply develop smart algorithms that perform well only during test situations; they want to develop AI systems that address real-world issues of real people.

Turning AI Research into Real-World Solutions

Xinxing Xu is sure that the study of AI is only worth it when it is put to test with actual data and scenarios. In doing his PhD at the Nanyang Technological University in Singapore, he was involved in sophisticated AI processing such as the process of machine learning and image recognition. However, he never overlooked the possible practical use of these technologies.

Xu was the employee of the research agency of A*STAR in Singapore before joining Microsoft Research Asia Singapore. And he did that there with real-world problems such as assisting doctors to read medical images or identifying defects in building walls using AI research. Such experiences informed him that the most effective AI work is one that is premised on knowing what people need.

At Microsoft Research Asia Singapore, Xu is running several significant projects that demonstrate how AI study can matter:

• Healthcare AI: The team collaborates with the largest healthcare group in Singapore, SingHealth, to develop AI that will help find personalized medicine.
• Business AI: They are developing custom AI frameworks to be applied to such industries as banking and shipping.
• Smart Environment AI: They are collaborating with leading universities such as NUS and NTU Singapore to develop AI systems capable of comprehending physical environments, such as building intelligent spaces, smart warehouses, and robot-coded environments.

The Singapore-based group at Microsoft Research Asia is also working on it, which is the “Societal AI,” i.e., ensuring that AI systems are aware of the cultures and values of the communities in Southeast Asia.