The recent surge of interest in Deep Learning (DL) shows that the human brain has stimulated much fruitful AI research. However, different AI researchers have been inspired by the brain in a wide range of ways. In most AI applications, DL is used simply because it constitutes an effective learning technique, but without using any strong analogy to how processes work in the brain. In this workshop, we aim to make advances in brain-inspired computation, by exploring how approaches that employ a closer analogy with the functions of the brain can facilitate a move towards novel architectures and hardware. We believe that this direction of work will act as a driver for future breakthroughs in AI.
Professor Steve Furber of University of Manchester gives a keynote speech on his project 'SpiNNaker'.