Keynote Speaker
Talk Title:
Towards More Biologically-Inspired and General Artificial Intelligence
Abstract
Current methods for training AI systems, such as in deep learning, are not biologically plausible. They require tremendous amount of energy and data for training, and they lack explainability. By looking at how the brain works, and how biological neural networks communicate and process information, it may be possible to develop AI systems that are less artificial and more true to biology, and therefore closer to replicating some of the key features of animal brains.
In this presentation, I will discuss ongoing research using in-vitro biological neural network recordings, and novel bio-inspired AI models and substrates.
Biography
Stefano Nichele is a Full Professor in the Machine Learning research group at the Østfold University College (Norway) and adjunct Full Professor at the Oslo Metropolitan University (Norway). Nichele holds a PhD from the Norwegian University of Science and Technology (Norway). His research interests span across Artificial Intelligence, Artificial Life and Complex Systems. In particular, how can intelligence emerge in machines as it does in biological organisms, and how can we create machines that are more adaptive, alive, and generally intelligent. Nichele is a senior member of IEEE and the Chair of the IEEE Task Force on Artificial Life and Complex Adaptive Systems.