Second Workshop on the Convergence of Large Scale Simulation/HPC and Artificial Intelligence
Event Type
AI/Machine Learning/Deep Learning
Big Data Analytics
Clouds and Distributed Computing
Exascale Systems
HPC Accelerators
TimeThursday, June 20th9am - 1pm CEST
DescriptionIn 2016, an artificial intelligence (AI) named AlphaGo became the first machine to beat a human 9-dan professional Go player on a full-sized board. Since then, AI has proven its potential to revolutionize our social life, how we live, work, learn, discover, and communicate. But does AI also have the potential to fundamentally change how we do science? The recent stream of publications suggests it may, but there is still much work to be done before AI can enter the day-to-day toolbox of scientists.

This is the second iteration of this workshop, where we will discuss ways that Deep Learning and Artificial Intelligence can be combined with traditional HPC to accelerate the pace of scientific discovery from High Energy Physics to Life Sciences and Healthcare.

The traditional paradigm uses large scale simulation at the core, where data analytics are used for pre and post processing of the data. In the new paradigm, AI and large scale simulation will be applied on a more cooperative basis where the strengths of each converge to form a powerful new tool for science. In this workshop we will discuss both paradigms, traditional and new, but put a focus on the new paradigm.