AI/ML knowledge base
Artificial intelligence/Machine learning (AI/ML) knowledge base
Recent advances in artificial intelligence and machine learning have highlighted AI/ML as powerful research tools. The usefulness of these technologies in neuroscience span from the practical to the abstract; they can be used to automatize labor-intensive analysis steps or for explorative analysis of large, complex data sets. They can even serve as model systems to study emergent properties of neural networks.
To better coordinate AI/ML efforts within MultiPark we have begun to identify existing talent in the organization to help them develop themselves and their coding projects. We will also identify analysis problems that are common to many projects and try to solve them together. If you see a need for AI/ML techniques in your research, or if you already have experience in developing AI/ML solutions, we can help you to:
- get free access to large-scale computing
- get educated in AI/ML applications through MP-internal workshops
- avoid re-inventing the wheel.
Please get in touch with par [dot] halje [at] med [dot] lu [dot] se (Pär Halje) if you think this sounds interesting.
Pär Halje, PhD
MultiPark AI/ML coordinator
E-mail: par [dot] halje [at] med [dot] lu [dot] se