Machine Learning in Physics
Developing machine learning models that can learn from physics data, adapt to new information, and make predictions that drive scientific discovery.
Overview
From improving particle collision simulations to enhancing cosmological data analysis techniques, machine learning offers powerful tools for tackling complex physics problems. This section explores applications of ML in physics research.
Technologies: Python, PyTorch, TensorFlow, scikit-learn