The Institute for Functional Intelligent Materials (I-FIM) at the National University of Singapore and the renowned Acceleration Consortium at the University of Toronto are proud to announce a joint conference — AI4X – Accelerate Conference 2026 — to be held in Singapore, 15 – 19 June 2026.
Following the successful inaugural AI4X 2025 Conference organised by I-FIM and the 4th Accelerate Conference organised by the Acceleration Consortium, the two powerhouses are combining efforts to jointly present the 2026 meeting with a more ambitious scientific programme — showcasing the very latest global ideas and research findings, and reaching students, researchers, industry, government, and thought leaders worldwide.
The four-day conference will bring together over 800 participants and an exceptional panel of invited speakers from diverse disciplines who will share their perspectives on Science with AI and their visions for the future. A one-day tutorial track will feature hands-on workshops on practical, state-of-the-art methods. Industry leaders and companies that use or develop AI for Science and R&D will also participate and share their knowledge, products, and services.
15 June
National University of Singapore
16-19 June
Raffles City Convention Centre
17-18 June
Bencoleen Foyer
18 June
Flower Field Hall
15 June 2026
Explore the full-day tutorial programme across multiple lecture theatres featuring hands-on workshops, self-driving laboratories, agentic AI systems, scientific automation, and next-generation computational discovery workflows in chemistry, materials science, and AI for science.
Tutorial Chairs, AI4X-AC 2026
Andrey Ustyuzhanin, Leong Shi Xuan
Abstract submissions for the AI4X – Accelerate Conference 2026 have closed. Thank you to all contributors who submitted abstracts for poster and oral presentations.
The inaugural AI4X Rising Star Award is presented by the Department of Materials Science and Engineering (MSE), National University of Singapore (NUS), in conjunction with the AI4X – Accelerate Conference 2026. The award recognizes outstanding early-career researchers within five years of receiving their PhD who have made significant and original contributions in artificial intelligence or AI-enabled research across materials science and engineering.