Singapore Invests $10M in AI4Science Research Programmes With Imperial College London

Singapore's National Research Foundation is pouring nearly $10 million into two ambitious AI-for-science programmes led by Imperial College London and local partners, marking one of the largest targeted investments in AI-driven research the city-state has made. The grants, announced at the AI4XAccelerate Conference 2026 in Singapore, will fund a five-year catalyst discovery programme and a four-year software reliability initiative, both hosted at Imperial Global Singapore CREATE campus.

The first programme, a collaboration between Imperial and A*STAR, aims to deliver a 500-fold acceleration in computational screening of catalyst compositions by developing a Surface Science Foundation Model — an AI knowledge base of surface structures and interactions. The practical target is identifying candidates for sustainable feedstocks like CO2 and bio-based chemicals, with the end product being a cloud-based AI platform for catalyst design accessible to researchers worldwide. A*STAR Chief AI Scientist Yew-Soon Ong described the vision as a scientific copilot that expands what is possible in surface science.

The second programme tackles a different frontier: software correctness. Co-led with NUS and SMU, with participation from MIT and ETH Zurich, it combines symbolic analysis with generative AI to automate verification of software systems — a challenge that becomes more urgent as AI-generated code proliferates. The research spans three pillars: democratising program reasoning, advancing code-focused LLMs beyond generation toward verifiable reasoning, and automating specification inference and proof construction for large-scale systems like the Linux kernel and network protocol implementations.

The investment will significantly scale operations at Imperial Singapore hub, including a ramp-up in research staff. Both programmes fall under the AI for Science initiative tied to Singapore National AI Strategy, a framing that matters: this is not curiosity-driven research but strategic capability-building in domains where AI can unlock breakthroughs that traditional methods cannot reach within reasonable timeframes or budgets.

Why it matters for Singapore: The AI4Science grants reflect a deliberate shift in how Singapore funds research — toward large, mission-oriented collaborations rather than fragmented individual projects. By anchoring two major programmes at the CREATE campus and tying them to A*STAR, NUS, and SMU, NRF is building the kind of cross-institutional AI research muscle that positions Singapore as a serious player in scientific AI, not just a consumer of models built elsewhere.