Nyheder

Sociologist Rolf Lyneborg Lund has trained an image AI using DeiCInteractive, which can help us understand how people perceive the concepts of "good" and "bad" neighborhoods.

Using a new tool called MaChAmp, researchers from the IT University can train language models on multiple datasets and solve multiple types of NLP tasks simultaneously.

HPC accelerates the development within Natural Language Processing (NLP) by enabling faster and more efficient processing of large datasets, complex algorithms, and training of large models.

Physicist Antonio Rago uses HPC to perform complex simulations that shed light on the interactions between the fundamental building blocks of the universe.

LUMI Grand Challenge – Professor of Theoretical Physics, Kristian Sommer Thygesen and his development team at DTU went all-in to utilise the full capacity of the LUMI supercomputer.

A big thank you to participants, speakers, and sponsors who contributed to making this year's DeiC Conference a success!

DeiC's board is in place after the new announcement of 1.7.23.

As a new project manager, Marta Schulze will play a central role in the EuroCC2 project and ensure strong outreach and coordination of the project.

DeiC's HPC team has developed a container software tool that initially aims to make it more accessible for those running AI/ML in Python to use the LUMI supercomputer.

Katrine Frøkjær Baunvig, head of the Grundtvig Center at Aarhus University has used the DeiC Interactive HPC to create an artificial intelligence of Grundtvig.