AI and data analytics support for research and industry
Artificial intelligence (AI) and data-intensive computing are increasingly used in scientific research and by industry. We support internationally significant AI research through access to our world-class compute infrastructure and know-how.
Modern machine learning environments
Using large-scale AI models for scientific research is often impossible without access to supercomputing resources. We enable researchers at higher education institutions and research institutes to carry out their work using cutting-edge GPU-accelerated machine learning (ML) environments, and offer expert support in using ML and data analytics tools on supercomputing platforms. Using the LUMI supercomputer, commercial and industry users can also benefit from our services.
Further to research and company support, we participate in high-profile international and national projects that leverage AI and data-intensive analytics (for example, Horizon Europe projects).
Examples of topics we work on include:
- Large language model and foundation model training
- Climate modelling and climate change research
- Applications of machine learning methods in digital twins.
We also offer diverse training, workshops and self-study materials on using AI and data analytics on CSC computing platforms.
Responsible AI use
We consider AI to play a key role in the digital transformation of society, and wish to encourage responsible decision-making underpinned by data. We act in accordance with European values, encourage the use of open-source software and solutions, and account for ethical principles in our work.
What is artificial intelligence?
Artificial intelligence is a computer program capable of performing functions regarded as intelligent, including learning, problem-solving and decision-making.
Machine learning is an area of artificial intelligence where a computer program, based on input data, finds statistical properties of the phenomenon being examined.
Deep learning is an area of machine learning that uses neural networks to analyze and model big data.
Contact information
Jesse Harrison
Jesse Harrison (PhD, Docent) manages the development of AI and data analytics services for research, and CSC’s expert support for the use of AI on high-performance computing platforms.
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