AI4X Accelerate Conference Wraps Up in Singapore as 800 Scientists Explore AI for Scientific Discovery
Source: AI4X Accelerate Conference
The AI4X Accelerate Conference 2026, a five-day gathering bringing together over 800 researchers and 70 invited speakers from institutions including NUS, Google DeepMind, NVIDIA, A*STAR, and the University of Toronto, wraps up today at Raffles City Convention Centre. The conference targets the intersection of artificial intelligence and scientific discovery across physics, chemistry, materials science, and biology.
The AI4X Accelerate Conference 2026, a five-day gathering bringing together over 800 researchers and 70 invited speakers from institutions including NUS, Google DeepMind, NVIDIA, A*STAR, and the University of Toronto, wraps up today at Raffles City Convention Centre. The conference is the first major collaboration between NUS's Institute for Functional Intelligent Materials (I-FIM) and the University of Toronto's Acceleration Consortium, targeting the intersection of artificial intelligence and scientific discovery across physics, chemistry, materials science, and biology.
The programme kicked off with pre-conference tutorials at NUS on June 15, followed by four days of main conference sessions at Raffles City featuring keynote presentations, parallel oral sessions, and poster displays. Topics spanned self-driving laboratories that automate and accelerate experimental research, foundation models purpose-built for scientific applications, AI-driven materials discovery, neuromorphic computing, and machine learning advances for chemistry and biology. Poster sessions ran across June 17 and 18, with awards presented at a conference dinner hosted at Gardens by the Bay's Flower Field Hall.
The speaker lineup reads like a who's who of AI for science: Antonio Helio Castro Neto, Director of NUS's Graphene Research Centre; Benjamin Chen from A*STAR's Institute of High Performance Computing; Vivek Natarajan from Google DeepMind; Wen Jie Ong from NVIDIA; and representatives from Merck, EPFL, the Vector Institute, and the Max Planck Society. With 800 attendees, the conference signals that Singapore has become a serious destination for deep-tech AI conferences that previously might have been hosted in North America or Europe.
This gathering comes at a pivotal moment for Singapore's AI strategy. While much of the public conversation around AI focuses on chatbots and enterprise software, the real long-term economic impact may come from applying AI to scientific research — accelerating drug discovery, designing new materials for semiconductors and batteries, and optimising manufacturing processes. Singapore's existing strengths in semiconductor manufacturing, biomedical sciences, and advanced materials make it a natural home for this approach.
Why it matters for Singapore: The AI4X Accelerate Conference demonstrates that Singapore is not just consuming AI — it is actively building the infrastructure for AI-driven scientific discovery. By connecting local researchers from NUS, A*STAR, and NTU with global pioneers in self-driving labs and foundation models for science, the event strengthens the pipeline of talent and ideas that will power Singapore's next generation of deep-tech innovation. As the city-state invests heavily in AI-enabled science through initiatives like the S$120 million national AI for Science programme, conferences like AI4X ensure Singapore's researchers remain plugged into the global frontier.