In this lecture DeepMind Research Scientist and UCL Professor Thore Graepel explains DeepMind’s machine learning based approach towards AI. He examples of how deep learning and reinforcement learning can be combined to build intelligent systems, including AlphaGo, Capture The Flag, and AlphaStar. This is followed by a short introduction to the different topics and speakers coming up in the subsequent lectures. Download the slides here: Find out more about how DeepMind increases access to science here: Speaker Bio: Thore Graepel is a research group lead at DeepMind and holds a part-time position as Chair of Machine Learning at University College London. He studied physics at the University of Hamburg, Imperial College London, and Technical University of Berlin, where he also obtained his PhD in machine learning in 2001. After postdoctoral work at ETH Zurich and Royal Holloway College, University of London, Thore joined Microsoft Research in Cambridge in 2003. At DeepMind since 2015, Thore leads the multi-agent research team and contributed to AlphaGo, the first computer program to defeat a human professional player in the full-sized game of Go. About the lecture series: The Deep Learning Lecture Series is a collaboration between DeepMind and the UCL Centre for Artificial Intelligence. Over the past decade, Deep Learning has evolved as the leading artificial intelligence paradigm providing us with the ability to learn complex functions from raw data at unprecedented accuracy and scale. Deep Learning has been applied to problems in object recognition, speech recognition, speech synthesis, forecasting, scientific computing, [More]
Day 3 Keynote Part 2, Life Summit 2020. Vivienne Ming, Founder & Executive Chair, Socos Labs More info: