In the next seminar of the City Research Centre for Machine Learning, we will have a talk by Dr. Greg Wayne who is a researcher at Google DeepMind.
Venue: B104 (University Building)
Date & Time: Mar 18, 2016 (12:00-13:00)
Title: Differentiable Neural Computers for Memory-Based Control
Abstract: I will describe a neural network control circuit that interfaces to a large, external memory buffer, which it can learn to read from and write to. I will show that this system, called a Differentiable Neural Computer, excels at learning to represent and compute transformations of data structures. It can also learn strictly from task-related reinforcement signals to compute beneficial courses of action.
Speaker Bio: Greg Wayne received his B.S. in Symbolic Systems from Stanford University, his M.S. in Applied Mathematics from City University of New York, and his Ph.D. in Neuroscience from Columbia University, working in the theoretical neuroscience laboratory of Larry Abbott. Since 2014 he has been at Google DeepMind in London, pursuing research primarily on artificial neural network memory systems and motor control.
Google DeepMind is a research centre whose mission is “to solve intelligence and use it to make the world a better place”.
