News 19 October 2020

RESILIENCE Will Require Plenty of Artificial Intelligence Capacities in the Next Years

RESILIENCE as a research infrastructure will require plenty of Artificial Intelligence capacities in the next years to accelerate the digital transformation in Religious Studies and theology together with CINECA.

Artificial Intelligence and Deep Learning

Artificial Intelligence (AI) and Deep Learning are two main subjects in today’s digital life. Machine learning made in the past years significant progress for example in computer vision, to understand the meaning and the content of pictures. However, this trend is rather new and woke up current technologies from the second Neural Winter just a decade ago. 

Since then, researchers in IT gradually moved from CPUs to GPUs (graphic card processors) to speed up complex computations of Neural Networks.  Today, most high-performance computers depend on those GPUs. While not only speeding up the training time of complex computer models, they are often also more energy-efficient and therefore contribute to the United Nations Sustainability Goals. 


Last week, RESILIENCE’s host of the digital ecosystemCINECA in Bologna (Italy), was announced in the NVIDIA blog (see info box below) to become the world’s fastest AI supercomputer based on NVIDIA’s GPU technology. 

We are happy and eager to get our hands on CINECA’s Leonardo, to also pose challenges from cultural heritage to the new AI supercomputer.  


List of the top 500 supercomputers

NVIDIA Info Box 

NVIDIA is a graphic card vendor that understood very early to to open up the graphic card architecture to other tasks than video signal processing. Today, NVIDIA already looks back on a long tradition on graphic card programming with CUDA, a C-style programming language. 

– Marco Büchler, InfAI


Visual: NVIDIA