Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Discover the Python and NumPy concepts that are easy to forget but essential for quantum physics calculations. This tutorial highlights key functions, array manipulations, and numerical techniques ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...