Programme Lead: Dr Vijay CHANDRASEKHAR
The AI hype cycle has been driven by rapid advancements in deep learning in recent years. In an initiative called Deep Learning 2.0, we are building the next generation deep learning toolbox, by tackling 10x problems in deep learning. Challenging research problems being tackled include: building 100x larger networks, reducing network size by 100x while maintaining performance, reducing video classification error rate by 10x, learning with 10x fewer labelled samples and building interpretable neural network models. More broadly, projects in speech, language and vision aim to bring these technologies one step closer to truly understanding people and the world around us by incorporating knowledge and reasoning. Join us in the next step towards general AI and building a world full of intelligent machines!
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