High-performance supercomputing'once the exclusive domain of scientific research'is now a strategic resource for training increasingly complex artificial intelligence models. This convergence of AI and HPC is redefining not only these technologies, but also the ways in which knowledge is produced, and takes a strategic position in the global landscape. To discuss how HPC is evolving, in July WIRED caught up with Jack Dongarra, a US computer scientist who has been a key contributor to the development of HPC software over the past four decades'so much so that in 2021 he earned the prestigious Turing Award. The meeting took place at the 74th Nobel Laureate Meeting in Lindau, Germany, which brought together dozens of Nobel laureates as well as more than 600 emerging scientists from around the world. Jack Dongarra: I would say AI is already playing an important role in how science is done: We're using AI in many ways to help with scientific discovery. It's being used in terms of...
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