Explore the critical open problems in Deep Learning through this insightful talk presented by Razvan Pascanu from Google at the USC Information Sciences Institute. Delve into the importance of Continual Learning as a major challenge in the field, examining its various aspects and implications. Gain a deeper understanding of implicit biases in learning and their significance in advancing the field. Discover recent observations and research that shed light on crucial areas requiring further progress in Deep Learning. Benefit from Pascanu's extensive experience and contributions to various aspects of Deep Learning, including optimization, recurrent models, graph neural networks, meta-learning, and continual learning. Learn about the speaker's involvement in promoting AI research and education through conferences and summer schools. Engage with this comprehensive overview of challenges and potential future directions in Deep Learning, presented by a prolific researcher in the field.