Advances in Artificial Intelligence: Are You Sure, We are on the Right Track?

Emanuel Diamant
2017 Transactions on Networks and Communications  
Over the past decade, AI has made a remarkable progress. It is agreed that this is due to the recently revived Deep Learning technology. Deep Learning enables to process large amounts of data using simplified neuron networks that simulate the way in which the brain works. However, there is a different point of view, which posits that the brain is processing information, not data. This unresolved duality hampered AI progress for years. In this paper, I propose a notion of Integrated information
more » ... grated information that hopefully will resolve the problem. I consider integrated information as a coupling between two separate entitiesphysical information (that implies data processing) and semantic information (that provides physical information interpretation). In this regard, intelligence becomes a product of information processing. Extending further this line of thinking, it can be said that information processing does not require more a human brain for its implementation. Indeed, bacteria and amoebas exhibit intelligent behavior without any sign of a brain. That dramatically removes the need for AI systems to emulate the human brain complexity! The paper tries to explore this shift in AI systems design philosophy. Keywords: Intelligence as data processing, Computational intelligence, Deep learning, Intelligence as information processing, Cognitive intelligence, Brainless intelligence. Researchers at Google have created brain-inspired software that can use complete sentences to accurately describe scenes shown in photos-a significant advance in the field of computer vision.
doi:10.14738/tnc.54.3562 fatcat:tsy6euuihzeqrlwfsej4esvy6u