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Let’s Not Bicker About Who Trains Whom: HPC and AI in the Golden Age of Self-Taught Machines

DescriptionHPC and AI are now partners—but come from different cultures and traditions. Where can they align? How will scientists, algorithms, and AI models be trained? The International Post-Exascale Project (inpex.science) brings together experts from Europe, the United States, and Japan to tackle challenges in HPC beyond the exascale era. At a recent global workshop, participants explored AI-HPC convergence, software sustainability, digital continuum strategies, generative AI, and how scientists will be trained in AI—and by AI. In a world of AI coders, massive science-tuned LLMs, and vast stores of untapped data, how can our global community collaborate to move both HPC and AI forward? Join our panelists as they debate opposing viewpoints on the future of these two fields. Will GenAI turn today’s HPC developers into the COBOL coders of tomorrow—or will HPC scientists harness AI to accelerate discovery?

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