Time: 14:00 - 15:00
Organized by NORA
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, Stefano Nichele will discuss ongoing research using in-vitro biological neural network recordings, and novel bio-inspired AI models and substrates.