August 23, 2023

Geoffrey Fox, Piotr Luszczek, Wes Brewer, Gregor von Laszewski, Christine Kirkpatrick, Gregg Barrett, Xiaoxuan Yang

Mallikarjun Shankar, Juri Papay,

Xiaoxuan Yang introduced hereself, She is an incoming assistant Professor in the University of Virginia ECE department. Her interests include memory systems and deep learning accelerators. She learnt about our work at the MLCommons Rising Star meeting Machine Learning and Systems Rising Stars | MLCommons where Geoffrey gave a talk AI for Science Rising Stars August 17

We discussed turbulence models
Wes Brewer reminded us of PU0174_VFS_VCGI_Paper_A.pdf which uses the Mixture of Experts approach
We discussed Christine’s SC23 BOF “Machine Learning from the Data’s Perspective: Data-centric AI, AI readiness and AI Reproducibility” which was approved
We discussed proposition that this WG have a focus on Foundation models and this was approved by those present
It would involve models, datasets, standards (for common API’s), and benchmarks
Gregg noted a paper on foundation models and chemistry, recently published in Science, to be of interest: [2304.03272] Towards self-driving laboratories: The central role of density functional theory in the AI age
We discussed NASA IBM Geospatial/Remote Sensing Foundation Model IBM open sources the largest NASA AI model on Hugging Face | IBM Research Blog
Geoffrey brought this idea up in HPC working group meeting on the following Monday. They were very interested in collaborating on this.