8 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
Wesley Brewer, Aditya Kashi, Sajal Dash +4
In a post-ChatGPT world, this paper explores the potential of leveraging scalable artificial intelligence for scientific discovery. We propose that scaling up artificial intelligen…
AI-coupled HPC Workflow Applications, Middleware and Performance
Wes Brewer, Ana Gainaru, Frédéric Suter +3
AI integration is revolutionizing the landscape of HPC simulations, enhancing the importance, use, and performance of AI-driven HPC workflows. This paper surveys the diverse and ra…
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier
Aristeidis Tsaris, Chengming Zhang, Xiao Wang +9
Vision Transformers (ViTs) are pivotal for foundational models in scientific imagery, including Earth science applications, due to their capability to process large sequence length…
Pretraining Billion-scale Geospatial Foundational Models on Frontier
Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis +3
As AI workloads increase in scope, generalization capability becomes challenging for small task-specific models and their demand for large amounts of labeled training samples incre…