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This project develops hybrid photonic integrated circuits to enhance probabilistic computing using physical random number generation. It aims to improve real-time processing for safety-critical applications like autonomous navigation by combining deterministic and probabilistic computing methods, achieving ultra-high t…
The neuroscience principle of free energy minimization (FEM) suggests that living organisms create internal models of their environment in order to minimize surprise and manage uncertainty.
This is strikingly different from artificial neural networks (ANNs), which prioritize maximizing accuracy.
Although ANNs excel in applications such as natural language processing and weather forecasting, they struggle with real-time, safety-critical tasks like autonomous navigation due to their reliance on de…
RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
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