AI Has Data Problem Supercomputers Already Solved w/ Mike Heroux
From Data Unchained by Hammerspace
May 1, 2026 · 39 min · Episode 111
About this episode
Molly Presley discusses the future of AI with Mike Heroux, focusing on lessons from high performance computing and the importance of data, software, and compute integration.
In this episode of Data Unchained, Molly Presley talks with Mike Heroux, Senior Research Scientist at ParaTools and Scientist in Residence at Saint John’s University, about what the future of AI can learn from decades of high performance computing. Mike shares lessons from open source scientific software, the Exascale Computing Project, national lab collaboration, world models, AI for science, and the growing connection between modeling, simulation, and modern AI infrastructure. The conversation also looks at why data, software, and compute must work together, how open source became essential to scientific progress, and where quantum computing may fit into the next generation of research and engineering. Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US Hosted on Acast. See acast.com/privacy for more information.
People in this episode
Host: Molly Presley
Guest: Mike Heroux
Topics covered
- AI
- high performance computing
- open source software
- scientific progress
- modeling and simulation
- quantum computing
Keywords
- AI
- high performance computing
- open source
- Exascale Computing Project
- quantum computing
- scientific software
- modeling
- simulation
Mentioned in this episode
Organizations: ParaTools, Saint John’s University, Exascale Computing Project, national lab, open source, quantum computing
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