Most of the kind of AI that gets the spotlight these days revolves around machine learning. But there actually are many approaches, or tribes, in AI. What is the role of knowledge representation and reasoning, or symbolic AI, today?
How can more traditional, knowledge-based approaches connect with, and contribute to, machine learning for better AI? And what’s graph got to do with it? This panel will discuss how to bridge the gap among the AI tribes.
Director of Technical Services, Communication and Strategy, Wolfram Research Europe
Researcher at Facebook AI Research
Senior ML Engineer, Data Reply UK
Neural Networks and Graph AI Researcher, Octavian