The Next HPC: How AI is Accelerating Computational Science and Engineering

Traditional high-performance computing workloads are being fundamentally transformed by artificial intelligence and machine learning — not replaced, but supercharged. Across industries, organizations are applying ML techniques to radically accelerate computational science and engineering — reducing time to results from months to days, cutting costs, and unlocking scientific capabilities that were previously computationally infeasible. This session explores how the convergence of HPC and AI is reshaping workflows in areas such as simulation, molecular modeling, climate science, and industrial engineering. Drawing on real-world examples across workloads and industries, we examine the architectural patterns and hybrid approaches enabling this transformation, and what it means for the future of scientific discovery at scale.