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Our latest news

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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

CERN openlab Technical Workshop

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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.

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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.

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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

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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”.

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Our training sessions at a glance

Since the last month, a lot has happened on our YouTube channel and for this reason, we want to give you an overview of the past training sessions.

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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.

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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.

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Behind the Scenes of CoE RAISE

An interview with Marcel Aach, PhD student at Forschungszentrum Jülich and the University of Iceland.

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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.

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Realising the potential of AI and HPC

Andreas Lintermann and two other experts in the field shared their thoughts about some of the potential from the increased combining of AI and HPC, in an interview for the Scientific Computing World guided by David Stuart.

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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.

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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.

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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.

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CoE RAISE partners serve as mentors at the BSC-NVIDIA GPU Hackathons for HPC and AI

CoE RAISE, along with other Centers of Excellence in Exascale Computing, played an active role in the BSC-NVIDIA GPU Hackathons for HPC and AI by guiding participants in testing their applications. 

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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.

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Behind the Scenes of CoE RAISE

An interview with Eric Wulff, AI Software Developer at CERN.

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Data-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.

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Behind the Scenes of CoE RAISE

An interview with Reza Hassanian, PhD student at the University of Iceland.

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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.

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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.

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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.

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CoE RAISE oganized a seminar on its Interaction Room technique to boost interdisciplinary collaboration

CoE RAISE organized a seminar titled “HPC Systems Engineering in the Interaction Room” from 12:00-14:00 CEST on April 8th, 2021.

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