IOP Publishing (IOPP) and the World Young Scientists Summit (WYSS) are pleased to announce the launch of Machine Learning for Science 2025. A free-to-attend, two-day hybrid conference which will serve as a global platform to bring together renowned scientists, young researchers, and industry leaders.
Chaired by Professor Jay Lee, (University of Maryland, USA) and Professor Lei Wang, (Institute of Physics, Chinese Academy of Sciences), this exciting event will explore the transformative potential of machine learning across a variety of scientific disciplines.
Aligned with the IOPP journal series Machine Learning: Science and Technology, Machine Learning: Engineering, Machine Learning: Health, and Machine Learning: Earth, this two-day symposium will focus on the application and integration of machine learning in diverse fields, from engineering to healthcare and environmental sciences.
To find out more about the speakers and topics, and to register visit this page: https://ioppublishing.org/info/machine-learning-for-science-2025/?utm_campaign=wyss2025&utm_medium=referral&utm_source=press_release&utm_content=announcement
Program core areas:
- Machine Learning for Physical Sciences: Physics, chemistry, materials science, biology and self-driving labs.
- Machine Learning for Engineering: Innovations in systems, automation, and robotics.
- Machine Learning in Health: Data-driven approaches for personalized medicine, diagnostics, and healthcare technologies.
- Machine Learning for Earth Sciences: Climate modeling, environmental monitoring, and sustainable development.
Follow #ML4S2025 on our socials to join the conversation.