Understanding intelligence -how we may be able to replicate intelligence in machines, and how the brain produces intelligent behavior- is one of the greatest challenges in science and technology.
There are many aspects of human intelligence which have been impossible so far to replicate in artificial intelligent systems. As a trivial example, humans need a remarkably small amount of training to learn to perform a new task compared to state-of-the-art artificial intelligence systems.
The Science of Intelligence is a new emerging field dedicated to developing a computation-based understanding of intelligence -both natural and artificial- and to establishing an engineering practice based on that understanding. This symposium is designed to bring together experts in artificial intelligence, cognitive science, and computational neuroscience to share and discuss the advances and the challenges in the scientific study of natural and artificial intelligence.
The participants are expected to discuss how intelligence works at a computational level, how intelligence is grounded in neural and silicon hardware, how it develops in early life, and how it is used for social interaction. The symposium will emphasize differences and similarities between natural and artificial intelligence, with the goal of making explicit common computational principles of natural.
For more information, visit the Symposium Website.