As artificial intelligence (AI) takes on increasingly critical roles—from managing power grids to piloting autonomous ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

Not everyone learns the same way—some folks like to see things, others want to talk it out, and some just want to get their ...

Abstract: Complex math functions, such as exponential and tanh, are widely applied in machine learning inference tasks like recurrent neural networks (RNNs). Even though a few works have provided ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

I will first post here because I don't want to flood DPO with a controversial thread. I didn't dig much in the issues so it might have already been discussed a bit more in detail elsewhere. It's only ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...