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One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact

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On July 24, 2025, Microsoft Research Asia – Singapore (MSRA – Singapore) opened its doors as Microsoft’s first research lab in Southeast Asia. The launch built on more than two decades of collaboration between Microsoft Research Asia and Singapore’s universities, research institutes, and government agencies. It marked a shift to a closer, more integrated relationship aimed at supporting Singapore’s innovation ecosystem and advancing the development and beneficial use of AI. Established in 1998, MSRA has a presence in Beijing, Shanghai, Vancouver, and Tokyo, along with Singapore. The Singapore lab strengthens the collaboration with local partners and extends the scientific and societal impact of Microsoft’s global research community. Over the past year, the Singapore lab has grown its team, deepened partnerships, and explored how frontier AI research can create real-world value. Guided by its mission to advance frontier AI for humanity, its work spans four pillars: next-generation AI models and agentic systems, domain-specific AI for real-world impact, AI-native research practices, and ecosystem and talent development. From frontier research to real-world impact – and back Research has its greatest impact when it moves beyond the laboratory into practice: in health and medicine, enterprises, and the daily operations of organizations solving real problems. MSRA – Singapore aims to do just that through a two-way exchange: partners bring domain expertise, real-world data, and operational challenges, while the lab contributes frontier research and engineering capabilities. Together, they translate fundamental advances into practical solutions, while surfacing new questions that feed back into research in a kind of research-to-impact flywheel. Advances in AI foundations enable more capable models and agentic systems that can reason, plan, use tools, and collaborate with people. These capabilities create new opportunities for AI-native innovation. In turn, real-world applications reveal limitations and generate new questions, feeding insights back into foundational research and sustaining a continuous cycle of discovery, application, and learning. Healthcare offers an early example of the lab’s research-to-impact model. Research on multimodal healthcare AI and self-evolving diagnostic agents is deployed and extended through partnerships across Singapore’s healthcare ecosystem. The lab is collaborating on multimodal and agentic AI approaches to support clinical decision-making, unlock insights from complex medical data, and advance research in disease diagnosis, risk assessment, and personalized care, with the longer-term goal of enabling meaningful real-world use. Beyond healthcare, the lab is working with organizations across financial services, education, and technology to explore how frontier AI can address sector-specific needs and operational challenges. Singapore has made AI a national priority through its National AI Strategy 2.0 (opens in new tab) , which focuses on deploying industry-transforming AI, advancing frontier research in AI foundations, and developing responsible, socially beneficial applications. These priorities span areas including healthcare, education, finance, and Smart Nation (opens in new tab) services. MSRA – Singapore’s research portfolio aligns with these priorities, with a particular focus on building AI systems that are reliable and trustworthy across Southeast Asian contexts. The Singapore Economic Development Board (EDB) has been a foundational partner. It supported the lab’s establishment and continues to support joint PhD training through the Industrial Postgraduate Programme (IPP). The relationship has since grown into strategic collaboration. In February 2026, EDB co-hosted an Executive Roundtable on AI in Logistics and Transportation, bringing together more than ten regional industry leaders to explore sectoral challenges. Government engagement extends beyond EDB. In July 2025, IMDA (opens in new tab) co-hosted Microsoft Research Asia Singapore Day (opens in new tab) — Advancing Industrial AI, a full-day event spanning healthcare AI, interactive world simulators, AI agents, and societal AI. MSRA – Singapore has also engaged with the Ministry of Trade and Industry and the Ministry of Health. From enduring partnerships to shared discovery In addition to its deep ties with government agencies, MSRA has built strong connections with Singapore’s academic community, supporting more than 75 research projects with Singapore institutions since 2004. The opening of the Singapore lab has brought new engagements, with nine new projects in its first year with National University of Singapore (NUS) and Nanyang Technological University, Singapore (NTU) across healthcare AI, robotics, AI systems, and multi-agent systems. A landmark example is the five-year Framework Research Agreement (opens in new tab) with NUS, announced in 2025, which provides a platform for joint AI research, talent development, and academic exchange. It defines shared research priorities in healthcare, societal AI, spatial intelligence, and data-intensive computing alongside an annual NUS–MSRA Academic Symposium that brings researchers from both organizations together to shape the collaboration agenda. The collaboration is already producing concrete research across several frontier areas. NUS Assistant Professor Mike Shou and MSRA’s Xinxing Xu are developing unified multimodal AI for healthcare. NUS assistant professor Yang You and MSRA distinguished scientist Furu Wei are studying systems foundations for diffusion-based language models. NUS assistant professor Jialin Li is working with MSRA on rigorous distributed agreement in multi-agent systems and verifiable machine learning systems. The NUS–Microsoft Research Asia AI Summer School has reached more than 300 students since its launch in 2025, attracting participants from Singapore, Southeast Asia, and beyond. Through three days of lectures, hands-on workshops, and small-group discussions, the program creates a forum for researchers and students to engage with emerging AI questions and scholars shaping the field. The 2025 program featured a keynote by Doug Burger, technical fellow and corporate vice president of Microsoft, on the AI revolution. Ahead of the 2026 Summer School, Lidong Zhou delivered a lecture on system intelligence, helping frame the conversations that followed. Beyond NUS, Microsoft Research Asia — Singapore has built connections across Singapore’s research community, including with NTU, Singapore Management University (SMU) (opens in new tab) , Agency for Science, Technology and Research (A*STAR), and other institutions. Research arising from these partnerships has already been published at leading venues, including the International Conference on Learning Representations (opens in new tab) (ICLR) and the Conference on Language Modeling (opens in new tab) (COLM). From early exposure to research leadership: Cultivating Singapore’s next generation of AI talent For Microsoft Research Asia, talent development is not a standalone program but a long-term investment in Singapore’s research and innovation capacity, supporting a comprehensive talent pipeline spanning internships, joint PhD supervision, visiting scholar programs, and fellowship initiatives. Through these opportunities, students and early-career researchers gain access to world-class mentorship, a curiosity-driven culture, frontier research challenges, and a global network connecting academia, industry, and real-world applications. What makes this model distinctive is its continuity. Students may engage with Microsoft Research Asia through workshops or summer schools, gain hands-on experience through its flagship research initiative, Microsoft Research Asia Stars of Tomorrow Internship Program , or pursue doctoral research through joint PhD programs. Some participants later return as faculty collaborators, mentors, or research leaders.

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