Nanyang Technological University, Singapore (NTU Singapore) and computing technology company and semiconductor/chip developer Canaan Inc. (Canaan) have launched a S$7 million joint research initiative to advance green intelligent computing technologies and edge artificial intelligence (AI).
The NTU-Canaan Green Intelligent Compute (GIC) Collaboration will focus on the research theme "Towards Green Intelligent Compute for Advanced Systems and Applications" .
Hosted by NTU’s Centre in Computational Technologies for Finance (CCTF) , the four-year initiative addresses the surge in global demand for computing resources spurred by rapid advances in AI. As model sizes expand and industry applications grow, computing systems must balance operational capacity with power efficiency and environmental sustainability.
The research aims to benefit enterprises, consumers, and developers by making AI workloads more energy-aware, secure, and ready for deployment. In sectors such as smart retail, the solutions will allow devices to process video and sensor data locally, cutting network strain and strengthening data privacy.
Bridging algorithmic design and physical hardware
Professor Shirley Meng, Vice President (Industry), NTU Singapore , said: “As artificial intelligence expands across every sector, managing its environmental footprint has become a critical global challenge. This partnership with Canaan reflects NTU's commitment to translating scientific breakthroughs into viable industrial solutions. By co-developing energy-efficient edge computing systems and establishing joint training modules, we are strengthening Singapore's position as a hub for sustainable digital innovation and equipping our talent to meet future technological demands.”
Nangeng Zhang, Founder, Chairman and CEO of Canaan, said: “As AI moves beyond centralised data centres and into more diverse real-world environments, computing efficiency is becoming a system-level challenge - spanning chips, software, workload scheduling and energy use. Our collaboration with NTU brings together academic research and Canaan’s engineering experience to explore how computing systems can become more energy-efficient, adaptive and practical for deployment. We also see this collaboration as part of our long-term commitment to Singapore’s research and technology ecosystem.”
Industry expertise meets academic research
The partnership pairs Canaan’s industrial track record in application-specific integrated circuit (ASIC) design, specialised computing, and systems engineering with NTU’s research capabilities in AI, computer engineering, and data science.
NTU researchers will provide scientific leadership and academic testbeds, while Canaan will supply hardware platforms, engineering expertise, computing infrastructure, and practical deployment scenarios.
Four core research directions
The research programme focuses on four areas to connect algorithm development with real-world system deployment:
Deliverables and talent development
The project establishes a direct feedback loop between university research and industrial engineering over its four-year course.
The initiative will support four PhD researchers and aims to generate approximately 10 academic papers. The joint team also plans to produce four technical work-package reports, develop functional industrial prototypes, and file patents where commercially applicable.
Supporting Singapore’s national digital agenda
The collaboration aligns with Singapore’s national priorities for sustainable digital infrastructure and AI development. Following the updated National AI Strategy in 2026, Singapore has expanded investments in AI research, talent development, and enterprise adoption.
The project also supports national green computing frameworks, such as the Green Data Centre Roadmap and Singapore Standard SS 715:2025, which prioritise energy efficiency across digital facilities and IT equipment. By advancing low-power edge computing and distributed inference, the partnership supports Singapore’s transition towards a sustainable digital economy.
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