Demis Hassabis
Combining systems neuroscience and machine learning: a new approach to AGI
Neuroscience is rapidly teasing apart the functional roles of the brain's components, and in some cases even the types of algorithms that they use. Machine learning, meanwhile, is producing a growing collection of techniques for specific kinds of problems, but as yet no general purpose algorithm for artificial intelligence. By bringing these two fields together, we can have both a high level architecture for an artificial general intelligence, and working algorithms for implementing many of the required components. In this talk I will outline the case for pursuing this approach, some current work in progress, and some of the challenges we face going forward.
