Artificial neural networks for sequential thinking Ghent University
Despite impressive pattern recognition successes, today's deep neural networks fundamentally fall short compared to biological brains: they do not possess the ability to engage in explicit sequences of understandable logical thoughts. That is a key property of symbolic AI models, but these in turn lack the strong pattern recognition capabilities of neural networks. The neural networks of the future need to possess both properties. Ultimately, ...