Our latest news
RAISE members presenting at the CERN openlab annual technical workshop
On March 16-17 2023, CERN openlab held its annual technical workshop at the CERN site in Geneva, Switzerland. CERN openlab is a unique public-private partnership between CERN and leading tech companies, which works to drive innovation in the computing technologies needed by CERN’s research community
International Day of Women and Girls in Science
In 2015, the United Nations General Assembly declared February 11 as the International Day of Women and Girls in Science. The goal is to achieve full and equal access to and participation of women and girls in science and to further advance gender equality and the empowerment of women and girls. As part of this day, we would like to feature three of our team members in RAISE.
Project members gather at CERN for CoE RAISE’s ‘All Hands’ meeting
From 17 to 20 January, 54 members the CoE RAISE project met at CERN, near Geneva, Switzerland, for an “All Hands” meeting. CERN, the European Laboratory for Particle Physics is home to the Large Hadron Collider, the world’s largest and most powerful particle accelerator.
AI- and simulation-based engineering workshop
Experts of CoE RAISE and the NCCs of the Czech Republic, Iceland, and Germany presented their progress in AI-related research at the “AI- and simulation-based engineering workshop”, which took place in the Grandior Hotel in Prague on the first of December 2022
CoE RAISE Technical Workshop -
AI for Wind Farm Layout Optimization
From 15 to 18 November, the Barcelona Supercomputing Center (BSC) in Spain hosted a four day in-person hands-on workshop on Machine Learning (ML) supported methodology development, testing, and tuning for wind turbine simulations. The workshop took place in the context of CoE RAISE Task 3.2 “AI for Wind Farm Layout Optimization”.
Data-Driven Use-Cases towards Exascale
The different use-cases in Work Package 4 (Data-Driven Use-Cases towards Exascale) have been working hard during the summer and have some exciting new progress to share with the CoE RAISE community.
Waiting has come to an end: RAISE colleagues are on the road.
Since the start of the project in January 2021, almost all events took place digitally due to COVID19 travelling restrictions putting networking to the test. Finally, after almost one and a half years, the first in-person events became possible again. The RAISE colleagues used this opportunity and visited trade fairs and workshops in Germany, the Czech Republic, Iceland, France, and Italy to spread the words about the project. In the following articles, they are telling us about their exciting journeys and what new and old colleagues they met.
CoE RAISE helps Treble Technologies improve acoustic response in virtual reality applications
Treble Technologies is an Icelandic startup and SME specializing in acoustic simulations. They simulate the acoustical effects of proposed architectural designs and present these results in virtual reality. This lets Treble's clients experience the soundscape of a building or other environment so that they can identify and correct acoustic problems before construction begins.
Towards more efficient and accurate algorithms in science and industry using machine learning
One of the primary goals in CoE RAISE is the development and expansion of Artificial Intelligence (AI) methods in line with representative use cases from research and industry. These have a strong focus on data-driven technologies, i.e. analyzing data-rich descriptions of physical phenomena. Example use cases vary widely and range from fundamental physics and remote sensing to 3D printing and acoustics.
International Day of Women and Girls in Science
In 2015, the United Nations General Assembly declared February 11 as the International Day of Women and Girls in Science. The goal is to achieve full and equal access to and participation of women and girls in science and to further advance gender equality and the empowerment of women and girls. As part of this day, we would like to feature two of our team members in RAISE.
Compute-driven use cases towards Exascale
One of the primary goals in CoE RAISE is the development and expansion of AI methods along representative use cases from research and industry, which have a strong focus on data-driven technologies, i.e., analyzing data-rich descriptions of physical phenomena. Example use cases vary widely and range from fundamental physics and remote sensing to 3D printing and acoustics.
Blueprint of AI Framework for Exascale conceived using Application Co-Design
One of the most important goals of CoE RAISE is to support the development of Artificial Intelligence (AI) technologies towards their Exascale application using cutting-edge HPC systems. Therefore, building, training, and evaluating Machine Learning (ML) and Deep Learning (DL) models is of utmost importance.
On the way to lower energy consumption in the transport sector with the help of machine learning
The research in WP3 and the collaboration with WP2 is strongly related to the growing environmental awareness. To be more precise, it is a must in the transport sector to lower energy consumption which is strongly determined by friction drag.
The virtual Summer school of the IEEE GRSS HDCRS working group on High-Performance and Disruptive Computing in Remote Sensing
In collaboration with the University of Iceland (UOI) and Forschungszentrum Jülich (FZJ), CoE-RAISE co-organized the virtual event in the capacity of partner from May 31 to June 3, 2021.
Application Co-Design for an AI Framework for Exascale
One of the CoE RAISE goals is to design, implement, and evaluate an AI framework that is ready for future Exascale HPC systems (see ‘AI at Exascale‘ ). This framework is an enabler for highly scalable applications accelerating scientific discovery and advancing engineering in a wide variety of domains. It is co-designed by the RAISE Use Cases from natural sciences and engineering.