RISE Research Radar

Computer Science Open House 2022-2025

2024

Brain-inspired algorithms for computing

Martin Nilsson

Summary

AI embeddings: Matrices are better than vectors. Matrix embeddings provide richer operations than vector embeddings: comparison, partial ordering, logical negation, intersection, generalization, specialization. Based on convex cones formed by column vectors.

Themes

machine-learning

Keywords

matrix embeddings, vector embeddings, AI embeddings, convex cones, relational reasoning

Poster

Brain-inspired algorithms for computing poster

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