What's next in artificial intelligence?
Răzvan Florian - President @ RIST
12nd November, 12:00-12:30
Advances in deep learning have propelled artificial intelligence (AI) to becoming the most disruptive technology of the moment, with $15 trillions in potential contribution to the global economy in the next 10 years. However, what is typically called AI in the mainstream media is narrow AI, applications of machine learning to narrowly defined tasks. By itself, deep learning is just a technology that does not directly lead to general AI - systems that would be able to behave adaptively in more general settings. I present a personal view about what is the path to general AI and what are the most important next challenges for machine learning research.
Răzvan Florian is the president of the Romanian Institute of Science and Technology. He is the author of several learning rules for spiking neural networks (the third generation of neural network models). The essential components of one of these rules, which has been developed trough mathematical derivations and computer simulations, have been later found by neuroscientists in the brain. This learning rule allows neurons to learn from rewards and punishments. Components of this learning rule were implemented in hardware in the latest neuromorphic chip developed by Intel. Dr. Florian has also founded two companies. He is now working on creating intelligent systems that are able to autonomously develop software.