Physics-Informed Machine Learning Society

  • FDP: 25 September 2026

  • Annual Meeting: 08–09 July 2027

  • Andhra Pradesh, India

  • pimlsociety@gmail.com

About the Society

Connecting scientific knowledge with machine intelligence.

PIMLS community placeholder

Founded

Community-development phase • 2026

PIMLS connects engineers, scientists, mathematicians, computer scientists, educators, students and professionals working at the intersection of physical systems and machine learning.

The Society is being initiated through ICARM to help domain specialists and computational researchers learn together, develop rigorous projects and advance responsible engineering applications.

  • Interdisciplinary research communities
  • Education and hands-on training
  • Scientific and professional meetings
  • Ethical and reproducible research
  • Student, faculty and institutional participation
Society Governance
Our Mission

Advance scientifically grounded machine learning.

To advance research, education, collaboration and responsible application of machine-learning methods that integrate physical laws, mathematical models, scientific knowledge and engineering principles.

Our Vision

Build an inclusive interdisciplinary community.

To enable reliable, interpretable and scientifically grounded machine intelligence across engineering, science and emerging technologies.