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Deepmind's goal is to understand and recreate intelligence itself, using the knowledge gained in this endeavour to tackle key questions in the sciences and beyond. In my talk I will give an overview of how we are approaching this challenge, and about my transition from quantum optics to AI. Starting from a brief introduction to our key tools: deep neural networks & reinforcement learning, I will discuss my particular research focus on learning rich internal models of the world and how we can use these to improve the performance of our artificial agents.