Turning the Dawn of Technology into Solutions for the Legal World
Dagg is the Swedish word for dew. When I first spoke with Christian Perez, the founder of dagg.ai, he shared a story that has stuck with me ever since. “The first thing that happens when a new day is coming, and the morning has broken, is the dew gathering on the grass. It’s the earliest […]
Quantum Autumn School 2024 – Lesson material and recordings
The Quantum Autumn School 2024 successfully concluded on the 4th of December 2024 after 3 days of interesting talks, exercises and an in-depth dive into the details of quantum computing. This year it was the 3rd year of the Quantum Autumn School, which has already become the go-to event in the Nordics to discuss and […]
Advancing Sustainable Networking with AI
The Connected Intelligence unit at RISE Research Institutes of Sweden accesses EuroHPC JU supercomputer MeluXina to work with AI-Powered Network Optimization. They applied using the Development Access Call which is continuously open all year round. Organization Involved RISE Research Institutes of Sweden is a state-owned research institute with over 3000 employees and offices located throughout […]
Coderefinery and Python for Scientific Computing courses
In the Fall of 2024, ENCCS HPC specialists Ashwin Mohanan and Yonglei Wang took part in the Coderefinery workshop and Python for Scientific Computing workshop by Aalto Scientific Computing (ASC). The grand intention of the workshops is to pass the knowledge of essential computing skills and good practices to the next generation of researchers and […]
Dive into Quantum Computing at ENCCS
ENCCS is hosting two comprehensive training events designed to enhance understanding and practical skills in quantum computing. These sessions, organised in collaboration with NordIQuEst, IQM, NCC Finland, NCC Denmark, and NCC Iceland. They offer participants a unique opportunity to engage with leading experts and explore the forefront of quantum technology. Event 1: Introduction to Quantum […]
The HPC Training Ecosystem in Europe
ENCCS brought the European HPC training ecosystem together for a dynamic community event In a rapidly evolving landscape, training the next generation in high-performance computing, artificial intelligence, and quantum computing is essential to maintaining Europe’s edge in scientific research and industrial innovation. Recognizing this, ENCCS in collaboration with NCC Finland, NCC Lithuania and MultiXscale CoE […]
LUMI, a sustainable solution for AI development (and more)
Sweden is a proud consortium member of the LUMI supercomputer. ENCCS visited LUMI in Kajaani in Finland to learn more about the current fastest supercomputer in Europe. We met with the rest of the consortium countries, as well as experts at CSC who delved into the uniqueness of LUMI, providing a comprehensive overview of the […]
Mappi is redefining math learning using data and generative AI
Edtech startup Mappi wants to give everyone a personal AI math trainer! ENCCS helped Mappi with supercomputer access and we had the opportunity to chat with CEO & co-founder Karl Flintberg. Can you tell us a bit about Mappi and how you do things differently? Of course! Mappi is a math studying website for high school students with […]
Excillium accesses MeluXina for liquid metal jet simulations
Excillium AB has gained access to EuroHPC JU supercomputer MeluXina in Luxembourg. They have applied for computing time using the Benchmark Access Call. During their allocation, they will perform liquid metal jet simulations using OpenFoam. ENCCS expert Qiang Li provided support both during the application process and the access period. Organisations involved Excillum AB is […]
Supercomputing access for AI
EuroHPC JU is offering supercomputing access for AI and data-intensive projects through a specific Access Call. The EuroHPC JU AI and Data-Intensive Applications Access call aims to support ethical artificial intelligence, machine learning, and in general, data-intensive applications, with a particular focus on foundation models and generative AI (e.g. large language models). Who can apply? […]