IIT Delhi and NVIDIA have co-developed the reference AI for Science curriculum covering the academic theory and application of Deep Learning (DL) and Physics Informed Neural Network (PINN) on GPUs using frameworks like NVIDIA Modulus™.
Simulations are widely used to model a variety of real-world problems rooted in science & engineering domains. While initial developments have involved purely data-driven AI techniques to build the surrogate for simulations, recent efforts have focused on the infusion of scientific laws in the Neural Networks. By incorporating NVIDIA GPUs and delivering AI-driven content through the curriculum, educators can break barriers in advanced teaching and learning.
Advance education for the scientific community by easy to access materials, based on industrial applicable skills.
Empowering educators with easy-to-use reference curriculum will benefit the future by integrating AI for Scientific Domains.
The curriculum developed by leading research institute IIT-Delhi and NVIDIA not only combines the fundamental theory but also the application in Industry using latest GPU architectures.
The ready-to-use courseware, provides instructors with the ability to customize the courses for their respective universities and covers topics including:
The material is published under CC-BY-SA clause.
Yes, the idea behind creating a reference curriculum is to promote AI for Science. Please do provide credits to original authors as per the LICENSE part of the package.
Yes, the students can also download and learn as most slides and labs are designed to be self-explanatory.