Explore the fundamental components driving artificial intelligence in this 53-minute lecture from the Simons Institute Open Lecture Series. Delve into the AI Trinity of data, algorithms, and infrastructure as presented by Anima Anandkumar from the California Institute of Technology. Learn about named entity recognition, active learning with partial feedback, and crowdsourcing techniques for data annotation. Discover the power of data augmentation through generative modeling and symbolic expressions. Gain insights into neural rendering models and tree LSTM architectures. Understand the importance of integrating these three pillars for advancing AI technology, with examples from industry leaders at NVIDIA.