The convergence of artificial intelligence (AI) and high-performance computing (HPC) is transforming science and engineering as we know it, empowering researchers with new tools and capabilities to accelerate discoveries and innovation. To realize the full potential of AI for science, the ALCF is committed to training and mentoring a diverse, new generation of AI practitioners and innovators.
Building on the ALCF's robust training program in the areas of AI and HPC, we are hosting a series of hands-on AI for Science courses that will teach attendees to use leading-edge supercomputers to develop and apply AI solutions for the world's most challenging problems.
This training series is aimed at undergraduate and graduate students enrolled at U.S. universities.
Each session occurs on Thursdays from 3-5 p.m. US CT.
Topics for Phase I
- Introduction to AI training on ThetaGPU Supercomputer
- Machine learning
- Introduction to deep learning
- Data pipelines for deep learning
- Advanced AI applications. Image and time-series datasets
- GANS, Autoencoders and TensorRT
- Reinforced learning, uncertainty quantification
- Distributed training
- Physics-inspired AI
- Geometric Deep Learning and Hyperparameter Optimization
- FAIR AI models
Registration has closed. Please check back for recordings of each session.
Important Note: It may take longer for foreign nationals to get an ALCF user account for the training series. Please register as soon as possible to provide sufficient lead time for ALCF account creation.