The International Cyber Security Center of Excellence (INCS-CoE), of which UMBC is a charter member, will hold an online seminar to explore the intersection of AI, cybersecurity, and safety. It will be take place from 7:00-8:30 am ET on Thursday, March 19, 2026, via Zoom and consist of three short presentations, with time for questions after each.

• AI and Cyber: The Twain Have Met
  Prof. Anupam Joshi, UMBC

• Video Deepfake Classification Using Evolving Deep Neural Networks
  Prof. Li Zhang, Royal Holloway, University of London

• Beyond the Surface: How Post-Training Artifacts Shape LLM Diversity and Safety
  Prof. Weiyan Shi, Northeastern University

Register here to get a link to the online seminar.

Recorded video of the session.

Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook introduces the pioneering techniques of neurosymbolic AI, which blends statistical models with symbolic knowledge to make AI safer and user-explainable. This is critical in high-stakes AI applications in healthcare, law, finance, and crisis management.

The book brings readers up to speed on advancements in statistical AI, including transformer models such as BERT and GPT, and provides a comprehensive overview of weakly supervised, distantly supervised, and unsupervised learning methods alongside their knowledge-enhanced variants. Other topics include active learning, zero-shot learning, and model fusion. Beyond theory, the book presents practical considerations and applications of neurosymbolic AI in conversational systems, mental health, crisis management systems, and social and behavioral sciences, making it a pragmatic reference for AI system designers in academia and industry.