Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...

This project is my independent research into SAT solvers written entirely in Python, designed to explore the theory and practice of propositional satisfiability. It begins with a baseline DPLL ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Abstract: Gaussian Process Regression (GPR) is a machine learning technique that, besides predicting certain target values, also quantifies their uncertainty. With that, GPR is increasingly gaining ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

While child-sized humanoid robots like the Unitree R1 have come down in price, not everybody has a spare $6,000 to throw around to play with robots, and smaller models like the Tonybot are more ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...