DLP: Neuro-symbolic AI: The Third Wave of AI (Presented as part of the Baltimore Section Technical Colloquium)

There are three waves of Artificial Intelligence. The first Wave of AI is Crafted Knowledge, which includes rule-based AI systems. The second wave of AI is Statistical Learning, which includes machine becoming intelligent by using statistical methods. The third wave of AI is contextual adaptation. In the third wave, instead of learning from data, intelligent machines will understand and perceive the world on its own, and learn by understanding the world and reason with it. Neurosymbolic AI, which combines neural networks with symbolic representations, has emerged as a promising solution of the third wave of AI. In this talk, I will share my journey from internet of things to incremental learning and transfer learning to neurosymbolic AI; then I will present my perspective on the emerging area with focus on neurosymbolic transfer learning, neurosymbolic reinforcement learning, and neurosymbolic AI verification and validation (testing and evaluation). Co-sponsored by: Baltimore Section Technical Colloquium Speaker(s): Dr. Houbing Herbert Song Agenda: This Distinguished Lecturers Program (DLP) presentation is part of the IEEE Baltimore Section’s Technical Colloquium and Professional Development Conference. Conference registration is required. Room: 230, Bldg: UMBC Interdisciplinary Life Sciences Building, 1000 Hilltop Cir, Baltimore, Maryland, United States, 21250