Frontiers of AI Research
in Space, Earth System &
Engineering Sciences
An online, interdisciplinary Vikram Discussion convening researchers, academicians, engineers and students working at the forefront of core AI/ML and its applications across the physical sciences with a strong focus on space science.
Participation is by invitation only.
Registrations are open.
Registration for FAR-SEE 2026 closed on 15 July 2026, 5:00 PM IST. Registered participants have been sent a confirmation email with the link to join the discussion.
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Registrations open Now
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Registration closed 15 July 2026, 5:00 PM IST
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Vikram Discussion 20–21 July 2026
Where machine intelligence meets the physical world.
Each theme is anchored by a plenary lecture and three to four invited talks (15–20 minutes each) by experts from across the research community and industry.
Earth System Intelligence
AI/ML for Climate, Weather, Ocean, and Environmental Sciences
Physics-informed climate emulators; ML-driven numerical weather prediction; deep learning for ocean biogeochemistry; AI-accelerated biogeochemical modeling; data-driven hydrology and ecosystem forecasting.
Sensing Beyond Boundaries
AI/ML for Remote Sensing, Astronomy and Astrophysics, Planetary Exploration, Solar Physics, and Space Weather
Foundation models for satellite and hyperspectral imagery; geospatial change detection and land-use classification; ML for planetary surface analysis and planetary exploration; deep learning for astronomy and astrophysics; AI/ML for solar physics, solar wind and magnetospheric forecasting; space weather nowcasting; AI/ML in satellite data processing.
Theory Meets Computation
AI for Theoretical Physics and the Theoretical & Statistical Foundations of AI/ML
Physics-informed neural networks and neural operators; AI/ML for theoretical and high-energy physics; the statistical and theoretical foundations of AI/ML; generalization and optimization theory of deep learning; information-theoretic frameworks for learning.
Autonomous, Resilient, and Secure AI
HPC & Cloud Computing, Agentic Systems, Cybersecurity, Quantum Machine Learning, and Post-Quantum Intelligence
HPC and cloud computing for AI/ML; multi-step autonomous agent architectures; planning, memory, and tool-augmented reasoning; quantum machine learning; adversarial robustness and neural network verification; AI-driven threat detection and intrusion response; post-quantum cryptographic primitives for AI pipelines; privacy-preserving and quantum-resilient federated learning.
- Inauguration & Keynote
- Session 1 — Earth System Intelligence
- Session 2 — Sensing Beyond Boundaries
- Session 3 — Theory Meets Computation
- Session 4 — Autonomous, Resilient, and Secure AI
- Valedictory &
Join a room full of people who’ll ask the right questions.
Participation is by invitation only · Registration closed on 15 July 2026, 5:00 PM IST