Trillion Parameter Consortium Workshop: Synthetic Data, Trust, and Scale When Advancing Reliable AI Models for Science

Friday, June 13, 2025 2:00 PM to 6:00 PM · 4 hr. (Europe/Berlin)

Hall X4 - 1st Floor

Workshop

AI Applications powered by HPC TechnologiesCommunity EngagementHigh-Performance Data AnalyticsHPC Simulations enhanced by Machine LearningLarge Language Models and Generative AI in HPC

Information

This workshop explores the technical, ethical, and accessibility challenges of using synthetic data for training and evaluating AI models in scientific and engineering applications. It emphasizes building trustworthy and reliable systems while addressing barriers to equitable access, ensuring synthetic data workflows can benefit a global, multilingual community of researchers across diverse domains. A special focus will be on the role of HPC in generating, processing, and validating synthetic data at scale.

Organizers:

Format

On Site

Targeted Audience

The workshop targets researchers, practitioners, and HPC professionals in AI, data science, and scientific computing, focusing on synthetic data, multilingualism, trust, and scalability. It invites participants from academia, industry, and HPC centers to explore innovative solutions for advancing reliable, safe and inclusive AI models for scientific and engineering applications.

Intermediate Level

30%

Advanced Level

70%