Neuromorphic computing: problems and prospects

The workshop gathered students, researchers and participants from academia, research centers and the industry for exchange of ideas and prognoses within neuromorphic computing.

Neuromorphic computing is an approach to computing that mimics the structure and function of the human brain's neural networks to improve efficiency, speed, and learning in artificial intelligence systems.

– The workshop was a great success because it provided a platform to share different perspectives in neuromorphic computing and create a networking event to build up a Norwegian neuromorphic computing community, says professor Stefano Nichele, one of the leaders of ØAI.

 He says:

– Challenges and opportunities of neuromorphic computing implementations were discussed, with particular focus on the Norwegian landscape.

Participants concluded that the Norwegian excellence in Neuroscience is a perfect background for research on brain-inspired computing, and that the following problems are topical:

Computational learning architectures inspired by recently published Connectomes of invertebrates, energy efficient computation at the edge through custom designed neuromorphic systems, bridging gaps across theoretical and applied sciences to build effective collaborations.

The event was co-organized by Maben Rabi (HiØ), Ali Muhtaroglu (OsloMet), Stefano Nichele (HiØ), and Magdalena Edvardsen (HiØ).

The program for the workshop you will here