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Introduction to Vector Symbolic Architectures

This talk from the Jan 2026 Bristol Machine Learning Meetup explores Vector Symbolic Architectures (VSAs), a framework that connects symbolic reasoning with modern machine learning through high-dimensional vector representations. In this talk, we introduce VSAs from first principles. You will see how simple vector operations can represent structured data, tolerate noise, and implement basic computational systems such as finite state machines. The presentation provides an intuitive and hands-on look at how symbolic structure can emerge from high-dimensional geometry.