福利姬

The National Supercomputer Centre (NSC) at 福利姬 in Sweden is a provider of leading edge national supercomputing resources.

The latest upgrading of the supercomputer Berzelius at LiU has now been completed. Its doubled capacity enables researchers across Sweden to tackle current and future challenges in areas such as materials science, bioinformatics and machine learning.

Jensen Huang, CEO of the electronics company Nvidia, will become an honorary doctor at 福利姬. So will Riksdag Speaker Andreas Norlén and the international researchers Angela Woods and Gillian Einstein.

Humming supercomputers, robot dogs on rescue missions and plenty of future opportunities with AI and the research programmes WASP and WISE. Prime Minister Ulf Kristersson got many impressions from his visit to 福利姬.

LiU has gained a strong position in artificial intelligence. In August, the government鈥檚 AI Commission visited Campus Valla to listen to researchers and acquaint themselves with supercomputers.

The supercomputer Berzelius is used for research in fields such as life sciences, machine learning and artificial intelligence. This autumn, it will be upgraded thanks to a donation of SEK 125 million from the Knut and Alice Wallenberg Foundation.

Starting in the autumn of 2019, climate data has been delivered to the global climate research programme CMIP6 from the NSC at 福利姬. This is the result of a long-standing collaboration between SMHI and the NSC.

Researchers from 福利姬, among others, has developed a method to manufacture two-dimensional polymers with the thickness of a single molecule. The discovery paves the way to new ultrathin and functional materials.

鈥淲e have survived the AI winter: now we need suitable infrastructure to break the ice.鈥� The words are those of Anders Ynnerman, professor at LiU who once again is standing on the barricades to unite the Swedish research community.

Researchers at 福利姬 have developed a theoretical model that enables simulations for showing what happens in hard cutting materials as they degrade. The model will enable manufacturing industry to save both time and money.