The three pillars of AI: Symbols, Neurons and Graphs
Artificial Intelligence (AI) is a topic that has been explored since the 1950s, most notably by Alan Turing. In the last decade, the field has become something of a craze and the hype surrounding it explains why it represents the next big endeavor for humans.
So much effort and investment has been put into both academia and industry, combining theoretical research and empirical data to both understand and build AI models that bear semblance to “intelligent” beings. This effort has met some success in various fields where models are now capable of solving problems in tasks related to vision and language for example. However, while these models represent a true advancement in artificial intelligence, the gap between models and beings remains large and requires an important leap. So behind the release of new and improved systems, how far are we from approaching the idea of creating sentient beings? And do we possess the tools to do so? We might not be as far as we think – and if human intelligence is our reference, the tools that we need might be within our reach.