In January 2020, a Stony Brook University-led team received a $4.2 million DARPA KAIROS award to develop AI systems capable of understanding and responding like humans. The project, titled "Structured Generative Models for Multi-modal Schema Learning," aims to create machine learning algorithms that integrate information from text, audio, and video to discern core events from incidental ones. This initiative seeks to bridge the gap between human common-sense reasoning and AI capabilities, enhancing predictive and responsive AI systems.