Enhance your knowledge of Emerging Technologies with tracks in: Engineering in Medicine Power, Energy & Electronics Communications & Computing Professional Development "Power Skills" (https://site.ieee.org/baltimore/technical-colloquium-landing-page/baltimore-technical-colloquium-program/) PDH/CEU credits will be available for attendees of the Power, Energy & Electronics and Communications & Computing sessions. Interested in the member rate? Join us at: https://www.ieee.org/membership/join/index.html Late Registration Grad or Undergrad Student Member $30 Member, Senior Member or Fellow $150 Life Member including Senior and Fellow Life Members $75 Student Non Member $55 Non Member $220 Parking is in the UMBC Commons Drive Garage adjacent to the Interdisciplinary Life Sciences (ILS) Building hosting the conference. Parking is free on Saturdays and handicapped accessible. Agenda: Visit the (https://site.ieee.org/baltimore/technical-colloquium-landing-page/baltimore-technical-colloquium-program/) information. A summary of the agenda is as follows: 8:00 AM - 12:00 PM: REGISTRATION 8:15 AM - 9:15 AM: CONTINENTAL BREAKFAST 8:45 AM - 8:55 AM: OPENING REMARKS & WELCOME NOTE 8:55 AM - 9:05 AM: IEEE WELCOME REMARKS 9:05 AM - 9:25 AM: KEYNOTE 9:25 AM - 9:45 AM: UMBC KEYNOTE 9:45 AM - 10:05 AM: KEYNOTE 10:05 AM - 10:30 AM: COFFEE, NETWORKING, EXHIBITS, POSTERS & DEMOS 10:30 AM - 12:10 PM: MORNING PARALLEL TRACKS (PRESENTATIONS, WORKSHOP, PANEL) 12:10 PM - 1:10 PM: LUNCH 12:20 PM - 12:50 PM: KEYNOTE 12:50 PM - 1:10 PM: KEYNOTE 1:20 PM - 3:00 PM: AFTERNOON PARALLEL TRACKS (PRESENTATIONS, WORKSHOP, PANEL) 3:00 PM - 3:20 PM: COFFEE, NETWORKING, EXHIBITS, POSTERS & DEMOS 3:20 PM – 4:10 PM: AFTERNOON PARALLEL TRACKS (PRESENTATIONS, WORKSHOP, PANEL) 4:10 PM - 4:20 PM: BREAK TRANSITION 4:20 PM - 4:50 PM: KEYNOTE 4:50 PM - 5:00 PM: WRAP UP & ADJOURN Room: 116, Bldg: UMBC Interdisciplinary Life Sciences Building, University of Maryland, Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, United States, 21250

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