Google backs Singapore university research on Alzheimer’s, AI efficiency and safety
The funding pairs scientific projects with long-term research infrastructure, plus support for INSEAD to study how people adapt to technological change.
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The funding pairs scientific projects with long-term research infrastructure, plus support for INSEAD to study how people adapt to technological change.
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Google’s November 3, 2026 funding package directs more than $6 million toward Singapore-based AI research and research capacity, including work at NUS and NTU and support for INSEAD’s Thrive Lab. The portfolio ranges from Alzheimer’s research, where medical breakthroughs remain a goal rather than a result, to lower-cost model serving, regional-language processing and AI safety evaluation. For the AI ecosystem, the commitment pairs near-term research projects with efforts to establish longer-lasting capabilities across Southeast Asia.
NUS received $1.5 million for Alzheimer’s research and a separate $500,000 grant for machine-learning efficiency and regional-language processing.
NTU’s $340,000 in sponsored studies covers safety frameworks, robust evaluations, multi-agent systems and privacy-preserving LLM watermarking.
A $750,000 NTU capacity-fund grant is intended to build lasting research capabilities across Southeast Asia.
Researchers in Singapore are getting Google funding to study Alzheimer’s disease, make AI computing more efficient and develop safer systems. In a November 3, 2026 announcement, Google committed more than $6 million to research grants and capacity building at two universities, alongside its already-established research hub in the country.
The recipients are the National University of Singapore, or NUS, and Nanyang Technological University, or NTU. Their projects span scientific uses of AI and work on the technology itself: reducing computing demands, supporting regional languages and improving how AI systems are evaluated.
NUS received a $1.5 million AI for Science Google.org Impact Challenge grant for Alzheimer’s research. The project will use AI models and data science to investigate neurodegenerative disease, with medical breakthroughs the goal rather than an achieved result. Google said the university was selected from more than 3,500 applications worldwide.
A separate $500,000 NUS grant targets machine-learning efficiency and regional language processing. The computing work includes sustainable compute and model-serving optimization—making the process of running models to answer requests more efficient.
At NTU, $340,000 will fund four sponsored studies covering AI safety frameworks, robust evaluation methods, trustworthy multi-agent systems and privacy-preserving watermarking for large language models. The agenda includes both assessing AI and studying systems in which several AI agents work together.
The grant is intended to build permanent research capabilities across Southeast Asia.
NTU’s capacity-building initiative will operate under Professor Ho Teck Hua’s regional academic leadership. Google says it will establish lasting infrastructure, foster internal research agents and develop ethical AI frameworks.
Google.org and Google DeepMind are also providing $3 million for INSEAD’s Thrive Lab in Singapore. The lab will examine how people and organizations can thrive alongside technological change. Its research will explore how education, workplaces and communities help people develop skills, find purpose and build meaningful relationships.
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