International Conference on

Applied AI and Scientific Machine Learning

December 14-18, 2024

Recent Updates

  • 2024-11-30: Last date for Conference registration is December 10, 2024.
  • 2024-11-23: Slots for the Pre-conference in-person workshop to be held on December 14 and 15, 2024 are full. However, registered participants can still attend the session online.
  • 2024-11-20:Please note that on-campus accommodation is full. For alternative accommodation options, please refer to the Attend page.

CASML 2024

Join us at the Indian Institute of Science (IISc), Bangalore, for the inaugural Conference on Applied AI and Scientific Machine Learning (CASML) organised by AiREX Lab at IISc and supported by ARTPARK. This pioneering event, at the crossroads of AI, Machine Learning and Scientific Computing, will explore the application of AI techniques in fields like Computational Science, and Engineering.

A special session is planned for AI-driven engineering companies, organizations wanting to implement AI-driven Digital Twins, and DeepTech startups working in core science and engineering solutions. Please contact associatepartner@casml.cc.

Conference Highlights:

  • Physics-Informed Neural Networks (PINNs): Delve into solving forward and inverse problems using Partial Differential Equations.
  • Neural Operators: Explore Deep-O-Net and Fourier Neural Operators for complex challenges.
  • Integration of NLP and CV: Focus on applications like fluid flow super-resolution.
  • Digital Twins & Surrogate Modelling: Examine data-driven system replication.
  • SciMLOps & High-Performance Computing: Push scientific computing boundaries with PINNs.
  • Explainable & Interpretable AI: Ensure transparency in scientific AI applications.
  • Pre-conference Workshop: Hands-on training on Scientific ML techniques.

Event Structure:

  • Keynote Addresses & Technical Sessions: Featuring peer-reviewed presentations.
  • Panel Discussions: Tackle critical industry AI challenges with Digital Twins.
  • Hackathon: Bridge academic research with industrial applications.

Main Focus Areas

PINN Icon

Physics-Informed Neural Networks

Unlock Forward and Inverse PDE Solutions with Physics-Informed Neural Networks and Variants!

Neural Operators Icon

Neural Operators

Harness Operator Learning with Deep-O-Net and Fourier Neural Operators to Tackle Complex Problems!

NLP/CV Icon

GenAI for Computational Problems

Elevate Computational Power: Use Computer Vision for Fluid Flow Super-Resolution and NLP to Solve Scientific Machine Learning Challenges!

Digital Twins Icon

Digital Twins & Surrogate Modelling

Create Real-Life Replicas: Digital Twins Using Data-Driven and Computational Methods!

MLOps Icon

SciMLOps

Push Scientific Boundaries: Harness High-Performance Computing and PINNs with Data-Driven Innovation!

Explainable AI Icon

Explainable & Interpretable AI

Drive Innovation: Use High-Performance Computing and PINNs to Redefine Scientific Computing!

Speakers

Registration

Students

Including post docs and RA research staff
Regular Registration
2,000
Late Registration
3,000

Faculty

For academicians
Regular Registration
4,000
Late Registration
6,000

Industry

For industry professionals
Regular Registration
8,000
Late Registration
12,000