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STEPHEN FITZ

I am an artificial intelligence scientist working in the areas of neural networks, representation learning, and computational linguistics.

In my past research endeavors, I focused on understanding the topological structure of embedding manifolds induced from deep neural models of natural language data through the lens of homotopy and homology theories.

I am currently working on new ideas involving collective intelligence, emergence, neuroevolution, and extending the capabilities of language models by combining transformers with state space models and cellular automata. Additionally, I am increasingly involved in interdisciplinary projects aiming at the development of novel psychometric techniques for AI.