Professor Jürgen Schmidhuber is scientific director, Swiss AI Lab IDSIA, USI and SUPSI-DTI. He has pioneered self-improving general problem solvers since 1987 and deep learning neural networks since 1991. The recurrent neural networks developed by his research groups at the Swiss AI Lab IDSIA (at the Università della Svizzera italiana and University of Applied Sciences and Arts of Italian Switzerland) and the Technical University of Munich have revolutionised handwriting recognition, speech recognition, machine translation, image captioning and are now available to over a billion users through Google, Microsoft, IBM, Baidu and many other companies. DeepMind is heavily influenced by his lab’s former students. His team’s Deep Learners were the first to win object detection and image segmentation contests and achieved the world’s first superhuman visual classification results, winning international competitions in machine learning and pattern recognition. They also were the first to learn control policies directly from high-dimensional sensory input using reinforcement learning. His research group also established the field of mathematically-rigorous universal AI and optimal universal problem solvers. Since 2009 he has been member of the European Academy of Sciences and Arts. He has published 333 peer-reviewed papers, earned seven best paper/best video awards, the 2013 Helmholtz Award of the International Neural Networks Society and the 2016 IEEE Neural Networks Pioneer Award. He is also president of NNAISENSE, which aims at building the first practical general purpose AI.