AI is opening new possibilities for scientific discovery. Realising this potential requires connecting computational intelligence with physical experimentation—enabling ideas to be tested, results to be reproduced, and evidence to inform the next discovery. Hosted by XtalPi, this forum explores how scientific models, AI agents, and robotic laboratories can work together to advance AI for Science. Discussions will examine the interplay between prediction, experimentation, and learning, and the opportunities and challenges of building more autonomous, reliable, and scalable research workflows. Drawing on practical experience in drug R&D, the forum will explore what it takes to turn AI-enabled research into validated scientific outcomes and commercial value. It will bring research, industry, and investment perspectives to the capabilities and partnerships needed, with a focus on opportunities for collaboration across Singapore and the global innovation community.
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