Share Your Insights: LLMs & GenAI in HPC for CAE Workflows (45-min Interview)
We’re running a research project to understand how compute-intensive organisations are exploring LLMs and GenAI to better utilise their sensitive, complex, and high-value data in Computer-Aided Engineering (CAE). We want to learn what motivates compute-intensive users to explore LLMs/GenAI, what challenges are slowing adoption, and where they need more explicit guidance or support. Our goal is to shape solutions that help compute-intensive teams unlock faster insight, improve reuse, and get more value from their data. This research is non-sales. All insights are anonymous.
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Earn $20 when you refer a new Respondent user who earns $75 in total incentive.
Apply and answer screener questions to see if you qualify.
The researcher will then review your application and send an invite if you're selected.
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Once approved, take part in the project and receive payment directly for your time and insights.
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