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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.

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