Edinburgh Workshop on Neural-Symbolic AI

We are currently experiencing a new era of AI where symbolic and neural techniques are being combined—referred to as Neural-Symbolic AI. This rapidly evolving area combines the strengths of neural networks and symbolic approaches, creating AI models, systems, and applications that benefit from both deep learning and symbolic reasoning.

This workshop provides a venue for researchers, practitioners, and students to present and discuss recent advances, practical applications, and theories in Neural-Symbolic AI. We aim to foster collaboration, spark innovation, and drive progress in developing hybrid AI methodologies capable of solving complex, real-world problems.

  • David Robertson, Emeritus Chair of Applied Logic, University of Edinburgh
  • Ekaterina Komendantskaya, Professor in Computer Science, Southampton University and Heriot-Watt University
  • Edoardo Ponti, Lecturer in Natural Language Processing, University of Edinburgh
  • Muhammad Najib, Lecturer, School of Mathematical and Computer Sciences, Heriot-Watt University
  • Kevin Murphy, Cybersecurity Risk Architect – Lead, Lloyds Banking Group

  • Fengxiang He
  • Vaishak Belle
  • Miguel de Carvalho
  • Cathy Yi-Hsuan Chen

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[Image credit: Philipp Schmitt - Betters Images of AI - CC BY 4.0]