Automating scientific discovery with AI and high-performance computing is helping research organizations accelerate breakthroughs and move faster from hypothesis to validated results.

Attendees tuning in live on May 7 explored how integrating AI, machine learning and HPC can help organizations by:

• Accelerating mission-critical scientific breakthroughs with scalable AI, data and compute
• Integrating AI, simulation and experimental data into continuous discovery cycles
• Maximizing the value of HPC investments by orchestrating AI/ML workloads across complex computing environments
• Enabling trusted, enterprise-scale scientific AI with a governed, reproducible platform

Topics also covered how to unify fragmented research infrastructure, operationalize AI-driven discovery and support collaboration across teams, programs and secure research environments.