• Matthew S. Bull is a member of the technical staff in AI Theory at Unconventional. Matthew has a PhD in Applied Physics from Stanford University. He was previously a Scientist at the Allen Institute/University of Washington and a Senior Research Scientist in Multi-Agent Reinforcement Learning.

    Unconventional fact: Matthew was skiing before he was walking.

Machine Learning with Dynamics

A technical exploration of machine learning with dynamics using gyroscopes, springs, coupled nonlinear ODEs, and differentiable physical systems for sequence classification.... Read more.
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Unconventional, Inc. © 2026

Unconventional, Inc. © 2026

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