Thermodynamic Computation and Applications to Machine Learning
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Part of the Phi-ML meets Engineering seminar series, this bi-monthly event explores real-world applications of physics-informed machine learning (Φ-ML) methods to the engineering practice. They cover a wide range of topics, offering a cross-sectional view of the state of the art on Φ-ML research, worldwide.
Thermodynamic hardware represents a novel computing paradigm...
